VIBEATHON 2025

Financial Data Modeling App for Portfolio and Investment Managers

Use-case code: 10011

Goal: Put advanced modeling and portfolio analysis in the hands of investment professionals on desktop or mobile.

Build:

• Company workbench: Pull market and fundamentals; run ratio analysis and factor views for any ticker
• Model library: DCF, comps, factor models, and custom screens with editable assumptions
• Scenario testing: Shock revenue, margins, rates, or multiples and see impact on valuation and risk
• Portfolio tools: Optimize weights, track drawdowns, exposures, and turnover; backtest strategies
• Reporting: One-click notes and client-ready summaries with charts and model outputs

Demo expectations: Analyze two stocks, run scenarios, and show portfolio impact and a shareable report

Global Distribution Account 360

Use-case code:10012

Goal: Give global account managers a single, reliable view of each client and surface growth and efficiency opportunities.

Build:

• Data unification: Ingest CRM, billing, support, delivery, and marketing data; deduplicate and reconcile entities; fix messy records
• 360° dashboard: One page per client with revenue, pipeline, health signals, open issues, and key contacts
• Opportunity engine: Use analytics to flag cross-sell and upsell, churn risk, and whitespace by product or region
• Ops efficiency: Auto-create tasks or workflows for actions like QBR prep, renewal alerts, and issue escalation

Demo expectations: Show before-and-after data cleanup, a working Client 360°, and examples of opportunities generated

Insurance Customer Care AI-powered Agent Assist: Call Summarizer and Guidance

Use-case code: 10013

Goal: Reduce handle time, improve complaint resolution, and guide agents with summaries, sentiment, and next-best actions.

Build:

• Call simulator: Simple app to place or mimic customer calls; capture audio
• Transcription and summary: Generate a transcript and concise call summary with key facts and action items
• Sentiment and routing: Detect sentiment and recommend routing or escalation paths
• New customer flow: Detect a new caller, recommend suitable products, and explain why those fit the caller’s situation
• De-escalation aid: Provide prompts to calm distressed callers within ~30 seconds
• Accident claims flow (existing customer): Guide data capture, prefill forms, file a claim, and assign to a repair shop or next best step

Demo expectations: Show an end-to-end call: transcript, summary, sentiment, recommended action, and claim initiation

Legal Writer and Redliner (Production-grade)

Use-case code: 10014

Goal: Boost legal team productivity with draft creation, redlining, and document quality checks.

Build:

• Upload and analyze: Ingest contracts or filings; check structure, clauses, references, and gaps
• Redline engine: Highlight deviations from templates or playbooks; flag risky terms and missing sections
• Writer.ai:
  1. Provide a brief or outline
  2. Generate a first draft
  3. Run redlines on the draft
  4. Human-in-the-loop approves edits
  5. Writer.ai applies fixes and produces the next version
• Extras: Extract metadata, auto-tag, classify to the right folders, and verify that a submission package is complete

Demo expectations: Upload a contract, get a redlined report, generate a revised draft, and show a clean, organized document set

Insurance Data Platform and BI for Call Center and Claims

Use-case code: 10015

Goal: Create a single enterprise data model with test data to power BI dashboards, automation, and better customer experiences.

Build:

• Unified data model: Bring together policy, claims, call center, and product data in a warehouse; define conformed dimensions and KPI
• BI layer: Dashboards for call volumes, AHT, sentiment trends, claim cycle times, leakage, and agent productivity
• Automation hooks: Expose events for call summarization and claims intake to reduce admin overhead
• Customer experience apps: Prototype mobile and chatbot experiences driven by the unified data

Example flows to showcase with the platform:

• Customer call: Generate transcript and summary; show sentiment; recommend routing or next action
• Claims intake: Capture details quickly, then trigger claim creation and assignment from the same interface

Demo expectations: Show the data model, two dashboards, and one automation flow wired to the BI signals

Pharma Unified HCP Journey Dashboard

Use-case code: 10016

Goal: Build a lightweight data bridge to unify commercial and medical data across ecosystems and prototype an HCP journey timeline.

Build

• Lightweight data bridge layer for commercial/medical data
• Prototype HCP journey stitched from email, rep visits, and scientific requests

Demo expectations: Neutral dashboard view; stitched HCP journey timeline from multiple sources

Payer AI-powered Claims Explainer and Benefits Chatbot

Use-case code: 10017

Goal: Simplify claim explanations for members and provide an AI chatbot for benefit queries

Build

• AI explainer tool to convert 835/837 transactions into plain English
• Benefit chatbot to answer member questions

Demo expectations: Upload 835/837 transaction → plain English summary; ask a question → get an answer from chatbot

Insurance Premium Simulator and FNOL Bot

Use-case code: 10018

Goal: Provide transparency into premium drivers and streamline claims initiation with a voice/text FNOL bot.

Build

• Premium simulator showing factor-by-factor premium impact
• FNOL bot capturing incident info, photos, geolocation, and auto-populating backend claims

Demo expectations: Show premium impact by factor; capture incident details and auto-populate a claim in backend

Procurement Orchestration: Supplier Delivery Follow-Up

Use-case code: 10019

Goal: Kick off follow-ups the moment an order is sent, get confirmation, ship date, and tracking at the right time, and escalate when a critical item is at risk.

Build:

• Orders Hub Dashboard: Simple screen with search/sort, status chips (New, Due soon, In transit, Partial, Delivered), and “next check-in” column
• Rules and Timing Panel: Configure shipping times and buffers; compute expected delivery = ship date + typical shipping time; schedule next outreach
• Auto Outreach and Reply Processing: Agent auto-sends supplier messages (confirm received, ship date, tracking, in-transit delay, remaining items). Incoming replies update the grid and reschedule steps
• Exceptions and Escalations: When risk exceeds tolerance or item is critical, auto-notify dependent teams and open escalation card for human decision

Demo expectations: Trigger three sample “order sent” events with synthetic data; watch timers; let agent auto-dispatch supplier messages and process replies; show automatic notices and one escalation action

Asset Health Watch and Maintenance

Use-case code: 10020

Goal: Spot early signs that a machine may fail, get the right people involved fast, and coordinate checks/repairs with minimal disruption.

Build:

• Asset Hub Dashboard: Grid of machines with status chips (Healthy, Watch, At-risk, Down); L2 page for sensor readings, breakdowns, notes
• Alert Center: Queue of new issues (overheating, vibration, power anomaly); agent auto-sends ticket to technician with playbooks and task cards
• Playbooks and Task Cards: Auto-create task cards with checks, safety steps, and part notifications
• Dependencies and Escalations: Map each machine to jobs/schedules; if At-risk, notify operations/safety and open escalation for human decision

Demo expectations: Load sensor CSV or synthetic scores; show assets moving across statuses; auto-create technician tasks and notifications; approve one escalation to schedule downtime; close with notes and updated status

Retail Store Support and Experience Assistant

Use-case code: 10021

Goal: Build an Agentic AI system that acts like a digital co-worker for store associates, resolving product, stock, price, and promo queries, suggesting alternatives, and escalating when needed.

Build:

• Product Query Agent: Interprets questions about products, sizes, colors, and availability
• Shopping Reasoning Engine: Plans how to resolve requests, checking stock, suggesting alternatives, verifying promotions, upselling
• Retail Action Agents: Carry out tasks step by step (stock, alternatives, promotions)
• Personalization Agent: Recommends relevant add-ons or cross-sells
• Escalation Agent: Prepares supervisor hand-off with options (transfer, notify, offer alternative)

Demo expectations: Show associate asking about product availability, size, or color; system interprets query, checks stock, suggests alternatives, verifies promotions, adds recommendations; escalate if customer insists

Forecast Consensus Hub

Use-case code: 10022

Goal: Create an Agentic AI system that compares forecasts across functions, flags misalignments, and routes exceptions to the right owners.

Build:

• Standardization and Alignment Agent: Brings forecasts onto the same timescale and hierarchy for comparison
• Forecast Comparison Agent: Auto-compares forecasts and detects mismatches
• Variance Analysis Engine: Highlights gaps beyond thresholds and explains impact
• Exception Routing Agent: Assigns mismatches to the right owner for review.
• Meeting Prep Agent: Auto-creates pre-read pack with flagged issues and discussion points.
• Consensus Agent: Consolidates approved adjustments into a single reconciled forecast

Demo expectations: Show scenario with 2–3 forecast files; system compares values, highlights mismatches, creates reconciliation pack; route one exception to Finance and another to Supply Chain; generate reconciled forecast and log adjustments

Calendar-based Lead Management System

Use-case code: 10023

Goal: Build a calendar-based lead management system to track leads efficiently across client and server.

Build: 

• Implement a full-stack application using Express.js + Vite with TypeScript
• Enable consistent development workflow with reliable server start and hot reload
• Configure port management for serving both API and frontend

Demo expectations: Demonstrate a working lead tracker with calendar view and lead management features; show TypeScript validation across client and server; illustrate smooth development workflow and port configuration

QR Code Campaign Management Platform

Use-case code: 10024

Goal: Build a QR code campaign management platform that allows users to create, track, and manage QR campaigns.

Build:

• Implement instant deployment with minimal configuration
• Integrate PostgreSQL database for storing campaigns
• Enable hot reloading for fast development cycles
• Handle canvas-based QR code generation with proper dependencies

Demo expectations: Upload or create a QR campaign and show it deployed instantly; demonstrate database storage and retrieval of campaign data; generate and display QR codes properly

Web-based SEO and Accessibility Audit Tool

Use-case code: 10025

Goal: Build a web-based SEO and accessibility audit tool that evaluates websites for key metrics

Build:

• Implement meta tag analysis to check title, description, Open Graph, and Twitter cards
• Detect broken internal and external links
• Validate semantic HTML structure for accessibility
• Analyze images for missing alt text and provide performance insights

Demo expectations: Input a website URL and generate a report showing SEO scores, broken links, and semantic structure validation; display images missing alt text and performance metrics

Contact and Campaign Automation Portal

Use-case code: 10026

Goal: Build a portal to create contact lists, emails, and campaigns using Acton APIs.

Build:

• Generate contact lists and emails programmatically
• Integrate Acton API for campaign creation and management
• Implement parsing logic to read structured data (e.g., Word docs) into email content

Demo expectations: Upload a contact list and generate an email campaign via the portal; show API integration with Acton to create and manage campaigns; demonstrate correct parsing of structured input data

eSAM – Software Asset Management

Use-case code: 10027

Goal: Create Enterprise Software Asset Management (SAM) application that provides centralised visibility and control over software installations across SCCM, Intune, and Jamf managed endpoints along with tracking of expiry and renewals.

Build

• Multi-platform software discovery
• Advanced analytics and dashboards
• Intelligent software classification
• Data management
• Security and compliance
• Automated notifications

 Example flows to showcase with the platform:

• Integration with SCCM / JAMF / Intune for Software inventory
• Real-time synchronization: Automated sync with configurable schedules
• Executive Dashboard: High-level metrics and compliance overview
• Risk Analysis: Software risk assessment and vulnerability tracking and reporting
• Compliance Reporting: License compliance and unauthorized software detection
• Trend Analysis: Historical data and usage patterns
• Role-based Access Control: Granular permissions (SAM Lead, IT Admin, Security Admin, Viewer)
• Audit Logging: Complete activity tracking
• Compliance Monitoring: Automated policy enforcement
• Email Alerts, ServiceNow Integration: Direct links to the ticketing system
• Escalation Workflows: Automated follow-up processes

Demo expectations: Present software data from the specified sources, display a few compliance dashboards, and one automation flow; add email and ticket triggers to track unauthorized licenses with sample users

CSR Event Management App

Use-case code: 10028

Goal: Enable CSR team to manage initiatives globally and enable employees to nominate themselves for relevant local CSR activities, improving participation and local engagement.

Build:

• Initiative management: CSR Admins create and manage CSR initiatives with title, description, category, Date, Time Commitment, location (country/region/city), and nomination period. Initiative stages are Draft, Review, Publish, Post Delivery, Completed; once initiatives are published then employees can view and nominate themselves
• Nominations: Employees browse the open initiatives and can nominate themselves.; nominations are allowed only if the initiative’s location matches the employee’s location
• Nomination Validation and Review: Automated eligibility checks (location match, nomination period); admin dashboard for reviewing nominations with ability to approve, reject, or request clarification; nomination status tracked throughout the initiative stages
• Notifications and communication: Automated notifications sent for Nomination submission confirmation, status updates, and review reminders
• Post Delivery: Capture actuals participants and how many people benefited from the initiative; and update initiative completed
• Reporting and metrics: Track initiatives, nominations, actual participants and people benefited from the initiative by city, region and country, nomination approval rates, and participation trends

Demo expectations: Show admin creating a CSR initiative, Super admin approves it, employee submitting a valid nomination, admin reviewing and approving the nomination, Post Delivery admin updating the actuals details, and a report showing nomination counts, Actual Participants and People benefited from initiatives by City, Region and Country

Developer Efficiency and Impact Dashboard

Use-case code: 10029

Goal: Enable every developer to know the impact and the efficiency that they are bringing into the project. This application should give them the dashboard to show the way they are working based on different parameters.

Build:

• Metrics Collection: Create a screen where the metrics can be configured and can be collected from different sources like ADO or any internal or external sources
• Admin Module: Screen where the administrator can configure the roles, metrics and other parameters for monitoring the efficiency of a developer
• Dashboard: Create fancy dashboard that shows the trend, learning, skills, metrics, etc.
• Event Execution and Task Tracking: Create team, add team members, assign tasks and track them for the event
• Reporting: Generate a new campaign, newsletter, campaign images, logos, taglines with a detailed project plan

Demo expectations: Application/Fancy dashboard to show developer efficiency and tracking metrics for productivity, improvement areas, etc.; creativity in this use is on what are the metrics (lateral thinking) that can be collected to monitor and track effectiveness of a developer

Form 16 Tax Assistant: Refund and Regime Optimizer

Use-case code: 10030

Goal: The application helps individuals upload and interpret Form 16. It compares the old and new tax regimes, highlights the optimal choice, and instantly shows refunds or savings.

Build:

• File Upload: Allow users to upload Form 16 (PDF or image)
• Data Extraction: Parse and extract salary, TDS, and deduction details from the uploaded Form 16
• Investment Input: Collect user inputs on additional investments and assets
• Tax Calculator: Compute tax under both old and new regimes; identify refund or excess payment
• Recommendation: Suggest the optimal regime (old or new) and offer simple, personalized tax-saving tips
• Dashboard: Visual dashboard showing income, deductions, refund/excess, and regime comparison

Demo Expectations: Upload a sample Form 16; enter additional investment details if prompted; instantly view – tax computed under both regimes, recommended regime (highlighted), refund or excess tax summary, visual charts comparing old vs. new regime, and simple tax-saving suggestions

Digital Employee Experience (DEX)

Use-case code: 10031

Goal: Enhance employee productivity and IT efficiency by simulating unified endpoint health monitoring, user experience scoring, and automated/self-healing actions.

Build:

• Experience Dashboard (Simulated): Display device performance indicators (CPU, memory, login time, app crash count, network status) from mock/synthetic data
• Health Scoring: Assign an “experience score” (0–100) based on the simulated data
• Anomaly Detection: Highlight “red flag” users/devices with issues like slow logins or repeated app errors
• Self-healing Workflows (Demo): Provide one-click or chatbot-driven actions that mimic fixes (e.g., reset Wi-Fi adapter, clear Teams cache, restart update service)
• Guided Assistance: Interactive assistant to walk employees through troubleshooting steps before raising IT tickets
• Feedback Loop: Capture user sentiment (“Was this helpful?”) to improve recommendations

Demo expectations: Walk through one user/device journey: simulated issue → score drops → assistant recommends fix → self-heal applied → score improves; show dashboard view with multiple “simulated employees” highlighting those at risk; and demonstrate one chatbot workflow that mimics resolving a common issue (e.g., Outlook crash recovery)

GCC Operations Toolbox

Use-case code: 10032

Goal: Streamline global operations of a Global Capability Center (GCC) y managing core functions—talent, IT, finance, and HR—while enabling cost efficiency, innovation, and advanced capabilities in digital engineering, AI, and data analytics under strong governance and technology infrastructure.

Build:

Module to be Developed:

· Talent Acquisition: Pitching/campaigns, hiring drives, evaluation process, technical assessments, offer process

· Tech Ops: Handles laptop/software provisioning, asset management, and infrastructure monitoring

· HR Ops: Handles joining formalities/onboarding, timesheet management, project allocation, trainings and other talent management activities to support the GCC workforce

· Fin Ops: Handles the contracts, invoices, budgets, financial reporting, and forecasting

· GCC Cockpit with key metrics covering GCC Build and Operate phases, from above modules, and flagging items below thresholds / potential risks (predictive scoring with AI will be a plus e.g. % of new hires/select against # of open demands, will impact staffing a new end-client’s project, which will start in next 2 weeks)

· Admin Module: To manage and configure all master data e.g. entities/departments, geo/markets, clients, projects, roles, etc.

Demo expectations: Working application, configurable (admin console), with good visualization (e.g., dashboards, screens), to monitor the operating health of the GCC

Quality Control for Calls and Tickets

Use-case code: 10033

Goal: Build a simple QA Agent that checks support tickets and call recordings against a supplied checklist. The tool answers yes/no for each checklist item, calculates a weighted QA score per interaction, shows average scores per agent, flags agents scoring below 60%, and highlights repeated mishandlings.

Build

• Uploads: Allow easy upload of ticket text files, call recordings, and a Parameters CSV. The Parameters CSV lists each checklist item and its weight (percentage)
• Call Transcription: Automatically convert call audio into readable text so it can be checked like a ticket
• QA Checks: For every ticket or call transcript, the tool evaluates each checklist item and returns yes or no, using simple rules or phrase checks
• Scoring: Apply the weights from the Parameters CSV to give a single score (0–100%) per interaction, then average scores per agent
• Insights: Provide a list of agents with average scores, automatically flag agents below 60%, and summarize the most frequent failed checklist items (recurring mishandlings)
• Simple Dashboard: Display per-interaction details (text/transcript + yes/no answers), agent leaderboard, failing agents panel, recurring issues, and exportable CSV reports

Demo expectations:

• Show uploading of sample tickets, a few call recordings, and the Parameters CSV; run the QA process and open one interaction to show the transcript/text, the yes/no results for each parameter, and the calculated score; show the agent summary view with average scores, clearly highlighting anyone under 60%; display the recurring mishandlings list with examples and counts so teams can see what repeats most; and export a CSV of results for managers to review or share

Password Reset Call Auditor

Use-case code: 10034

Goal: Build a lightweight automated auditing tool that monitors account-management calls/chats to detect skipped authentication steps and anomalous agent behavior. The system flags risky interactions in near real-time, alerts supervisors, and displays a paperclip-style assistant to guide immediate response.

Build:

• Inputs: Upload AWS call transcripts (or forward files) and optional config file with security rules (required verification phrases, risky action keywords)
• Transcript Analysis: simple rule checks for phrases like “reset password”, “bypass MFA”, and absence of verification phrases such as “confirm DOB” or “last four”
• Anomaly Layer: Optional AI-based check to surface unusual patterns or suspicious language beyond keywords
• Incident Handling: When a transcript exceeds the risk threshold or verification is not correct, create an incident record with matched snippets and risk label
• Assistant UI: Popup that appears for flagged incidents offering a concise reason, highlighted evidence, and quick actions (Acknowledge, Create incident report, View full transcript, Suggested immediate action like “Freeze account”)
• Alerts and Audit Trail: Send a test email or Slack alert and store incident details for review and training
• Non-technical MVP: Simple Replit dashboard with file upload, rule config, incident list, assistant popup, and exportable reports

Demo expectations: Upload sample AWS transcripts and a rule/config file; detect and flag at least two risky scenarios (example: password reset without MFA verification; account change requested by unverified caller); open an incident to show the assistant popup with clear message, evidence snippet, and quick actions; and send a test alert email and show the incident review dashboard with audit trail and export option

Genie for Major incident calls

Use-case code: 10035

Goal: Build a “Genie” assistant that supports Major Incident Managers by capturing time-stamped notes, tracking bridge attendance, and producing hourly stakeholder notifications with key updates, actions, and resolution status.

Build:

• Bridge integration or simple join link capture to record who connects, when they join/leave, and total presence time
• Time-stamped note-taking UI that auto-tags each item with the author and time; quick templates for Actions, Decisions, Risks, and Needs
• Auto-summary engine that compiles critical items into a concise hourly update: incident status, top actions, blockers, owners, and ETA
• Notification composer with editable template, stakeholder lists, and delivery via email or Slack; supports scheduled hourly sends and ad-hoc sends
• Incident timeline view showing notes, attendance, alerts sent, and final resolution log; exportable PDF/CSV for post-incident review
• Simple admin controls for templates, stakeholder groups, and privacy/audit settings

Demo expectations: Start a mock major incident, join multiple participants (show Genie tracking join/leave times); take a few time-stamped notes and assign actions to owners; show auto-tagging and templates in use; show Genie generating the first hourly summary and sending it to a test stakeholder channel or inbox; demonstrate editing before send; and open the incident timeline to display attendance, notes with timestamps, sent notifications, and final resolution export

Productivity Tracker

Use-case code: 10036

Goal: Build a simple Productivity Tracker that shows how much of an agent’s work time is spent on productive tasks. It combines ticket activity and/or phone-call time to report productive minutes/hours, utilization percentage, and where time is going by category (e.g., incidents, requests).

Build:

• Data Inputs: Easy upload of service-desk exports (ticket logs with timestamps) and phone-system exports (call durations). Or integration with ITSM tools like Service now and IVR systems like AWS Connect
• What It Does: Reads each ticket and call, measures how long an agent worked on them, and totals that time against the agent’s scheduled work hours for the period
• Key Outputs in Plain Language:
  • Productive time per agent (hours/minutes)
  • Scheduled work time for the same period
  • Utilization percentage (how much of their shift was spent on tickets/calls)
  • Average handling time by ticket category
  • Idle or unaccounted time (time worked but not spent on tracked tasks)
• Dashboard Features: Simple upload area, date/team filters, clear KPI cards, a day/hour heatmap to show when agents are busiest, a table of category-level averages, and an export button to download results as CSV
• Simple Settings: Default shift hours if schedule data is missing, rule to handle overlapping tasks (count fully or split time), and a small category-mapping tool so labels match across systems

Demo expectations: Show uploading of sample ticket and call files (drag-and-drop or select file); display a per-agent summary with Productive Time, Scheduled Time, Utilization %, and Idle Time; open a team view with the heatmap (day/hour) and a table of average handle times by category; use filters to compare two agents or two weeks and show how the numbers change; and export the per-agent report as a CSV for managers to review

Digital Gauntlet

Use-case code: 10037

Goal: The goal is to gamify complex information governance, data privacy, and security principles, making learning engaging and collaborative for employees through a competitive multiplayer experience.

Build:

• Multiplayer Game Board: A dynamic, web-based Snakes and Ladders board for 2 to 4 players, featuring real-time state synchronization to support competitive play
• Microsoft SSO: Mock a Secure login using Microsoft single sign-on for seamless player authentication and profile creation
• Knowledge Checkpoints: The game board is populated with question squares. When a player lands on one, a real-world or fictional scenario-based question on data privacy, security, or governance is presented
• Dynamic Difficulty: The complexity of the questions and the length of correct answers required to progress increases as players advance up the board, mirroring the growing complexity of real-world data challenges
• In-game Chat and Collaboration: A real-time chat panel allows players to discuss questions and answers, fostering group learning and debate even while competing
• Player Progress and Consequences: A correct answer allows the player to advance, while an incorrect answer results in a consequence, such as moving down the board (via a “data breach” snake)
• Certification Engine: Upon reaching the final square, the winning player is awarded a dynamic, personalized certificate of completion, acknowledging their mastery of the game’s concepts

Demo expectations: Show a user logging in via Microsoft SSO and joining a game; demonstrate two or more players navigating the board, with one player landing on a “Knowledge Checkpoint,” correctly answering a question to progress, and another player failing the question and moving down a snake; showcase the in-game chat for collaborative discussion; and, finally, demonstrate the game winner generating and viewing their certificate of completion

AI-driven Proactive Disruption Management and Passenger Experience Platform

Use-case code: 10038

Goal: Develop an integrated, AI-powered platform that predicts, manages, and communicates flight disruptions in real time, while providing seamless rebooking, personalized support, and proactive passenger care across the entire journey.

Build:

• Predictive Disruption Analytics
  • Real-time data integration from weather, air traffic, aircraft telemetry, and crew schedules to forecast potential delays and cancellations
  • AI-powered risk scoring for each flight segment, enabling early detection of likely disruptions
• Proactive Passenger Communication
  • Automated, personalized notifications (via app, SMS, email, and airport displays) explaining the cause of disruption, expected resolution time, and next steps
  • AI-generated messages with live radar maps, alternative route suggestions, and compensation offers
• Seamless Rebooking and Support
  • Self-service rebooking: Passengers receive instant options for alternative flights, upgrades, or refunds through a mobile app or chatbot
  • AI chatbots and voice assistants: 24/7 support for disruption-related queries, baggage tracking, and special needs assistance
• Baggage and Connection Management
  • Real-time baggage tracking: Automated updates on baggage status, rerouting of bags for rebooked passengers
  • Connection Saver: AI determines when to hold connecting flights for delayed passengers, minimizing missed connections
• Airport Flow Optimization
  • AI queue management: Dynamic adjustment of staffing and passenger routing to reduce congestion at check-in, security, and boarding
• Personalized wayfinding: Real-time guidance for disrupted passengers to new gates, lounges, or service desks
• Accessibility and Inclusivity
• AI-driven accessibility tools: Real-time translation, personalized assistance for passengers with disabilities, and proactive wheelchair handling

Demo expectations: The walkthrough will simulate a real-world disruption, such as a weather delay, showing how predictive analytics can forecast issues in advance. Passengers will receive clear, personalized notifications, have access to self-service rebooking, see real-time baggage tracking, and experience accessibility features designed for special needs.

Expected outcomes include faster disruption resolution, higher satisfaction scores, greater adoption of self-service tools, and fewer missed connections or mishandled bags. These measures reflect both operational efficiency and improved passenger experience.

The setup will also showcase integration with real-time data sources, AI/ML for prediction and personalization, omnichannel communication across platforms, and an architecture that is scalable, secure, and privacy-compliant.

The expected impact included better on-time performance, lower costs, higher passenger satisfaction, greater use of self-service tools, more ancillary revenue, and stronger support for vulnerable passengers.

AI-powered Aircraft eTechLog Book App

Use-case code: 10039 

Goal: AI-powered iPad/Mobile app to provide vital information to Aircraft technicians to quickly turn around aircraft back into service, improved accuracy in defects resolution and tracking.

Build

• Basic Data: Capture Aircraft, Flight, Fuel and Flying Time data
• Defect Capture: Capture defect information, ATA system, Flight Crew observations, phase, etc.
• Visual Defect: Interactive Aircraft Diagrams with defects displayed on 2D or 3D aircraft image
• Multimedia: Attach Video, Sound and Images to collaborate with experts
• Deferral: Based on defect information, AI based applicable MEL suggestions from MEL documents and for initiating Deferral process, Deferral category, Deferral expiry for tracking
• Troubleshooting and Repairs: Suggest AI based troubleshooting and repairs procedures based on Aircraft Troubleshooting and Repair Manuals
• Operational and Maintenance procedures: Retrieve O and M procedures for Deferred defects from the MEL documents to ensure compliance with regulations
• Authorization Workflow: MCC authorization workflow trigger and approval
• Analytics Dashboard: Departmental dashboard to track defects at Aircraft and Fleet level, Defect analysis, trend analysis, repeat defects, etc.
• Defect Closure: Defect Closure, Digital Sign-offs, and aircraft Return to Service
• APIs: Enable integration with other in-house/COTS MRO products
• Offline Feature: Allow offline capture of data in Line Maintenance areas and sync data with main server
• Access: Role-based access to the application (Pilots, Flight Attendants, Technician, Lead Technician, MCC Supervisor, Department Heads

Demo expectations: Showcase an end-to-end flow covering defect capture, defect closure, and defect deferral across categories A, B, C, and D with MEL suggestions and an authorization workflow, followed by releasing the aircraft back to service

AI-supported Smart Concierge for Real-time Guest Requests

Use-case Code: 10040

Goal: Streamline guest request management by reducing delays, lowering operational costs, and ensuring consistent, high-quality service. It also aims to deliver real-time personalization of recommendations, enhancing guest satisfaction, improving reviews, and driving repeat business.

Build:
AI-smart Concierge Features

• Omnichannel Request Capture
  • Guests can raise requests via hotel app, WhatsApp, in-room smart speaker, kiosk, or QR codes
  • AI uses natural language understanding (NLU) to interpret intent (e.g., “I need extra towels” → housekeeping request)
• Real-time Routing and Assignment
  • AI routes the request to the right department instantly (e.g., housekeeping, room service, concierge desk)
  • Smart load balancing based on staff availability
• Personalized Recommendations
  • AI suggests activities, restaurants, or spa packages based on guest profile, past behavior, and time of day
  • Example: If a family checks in, suggest kid-friendly activities nearby
• Proactive Alerts and Reminders
  • AI reminds guests about dinner reservations, event start times, or check-out
  • Proactive offers (late check-out, spa deals, local tours)
• Multilingual Support
  • Guests can interact in their native language; AI translates and communicates with staff in hotel’s operating language
• Feedback and Issue Resolution Loop
  • AI collects quick feedback after each request is fulfilled
  • Escalates unresolved issues automatically to managers

Demo expectations: Set up in a mock guest room equipped with a mobile app, QR menu, or voice assistant such as Alexa or Google Home. The flow begins with a guest requesting two extra pillows, which the AI interprets and routes to the housekeeping staff’s mobile dashboard. Once accepted, the system notifies the guest with an estimated delivery time and proactively offers an additional service, such as turndown preparation. After the request is fulfilled, the guest receives a quick satisfaction prompt to complete the experience

Truck Tax Filing System (TTFS)

Use-case code: 10041

Goal: The TTFS is a comprehensive digital infrastructure designed to facilitate the secure, accurate, and efficient electronic submission of tax returns and information documents. It includes platforms like the Modernized e-File (MeF) system supporting both individual and bulk filings through various channels.

Build:

• Submission Composition and Transmission
  • Support for XML-based submissions and MIME headers
  • ZIP file packaging and SOAP envelope creation
  • Validation against IRS XML schemas
• Channels of Submission
  • IFA (Internet Filing Application): Web-based (angular) interface for filers
  • A2A (Application-to-Application): API-based integration for high-volume filers
• Internal Revenue System (IRS)
  • Filing of Forms 2290 via Taxpayer Portal
  • CSV upload and manual entry for small filers
  • Real-time error detection and correction capabilities
• Security and Compliance
  • Encryption and secure transmission protocols
  • Compliance with the Taxpayer First Act and Internal Revenue Code
• Monitoring and Reporting
  • Performance metrics and error logs
  • Business rule validation and audit trails

Demo Expectations: Enable electronic filing of tax returns and information documents such as Forms 2290, while supporting multiple submission channels including Application-to-Application and the Taxpayer Portal. The solution must ensure compliance with federal tax regulations and data security standards, provide real-time validation with error reporting, and ultimately improve the taxpayer experience by reducing processing delays

GOC-Employee Allocation System

Use-case code: 10042

Goal : The application tracks employee allocations across multiple global accounts, supported by the shared services team, and stores required personnel information and billable/non‑billable FTEs.

Build:

• Employee Master Record: Allow owners to add, modify, or delete employees’ records, including allocated billed and unbilled information across supported accounts
• Dashboard and Reporting: Visual dashboard showing total employees, total customers, active vs. resigned, band-wise counts, gender distribution, technology-tower wise employee total count , grad wise, distribution, billed vs. unbilled totals, project-wise billed counts, and monthly counts of resignations, releases, and new joiners
• Account Onboarding: Allow owners to onboard a new customer in the application by adding the project name, multiple Project codes, and finance ID, along with delivery stakeholder details
• Notifications: Send email notifications to employees, reporting managers, and account SDMs when information changes in the Employee Allocation System
• Import/Export Reports: Bulk data import/export in excel with customizable columns
• Admin Module: Manage and configure role-based access control for read/write permissions to employee master data and the dashboard
• Monthly Lifecycle Tracking: Lists and filters for new joiners, planned releases, and resignations by month, with export capability
• Audit Trail: Immutable history of create/update/delete actions and allocation changes, including user identity and timestamps

Demo expectations : Working, configurable application with an admin console and clear visualizations, such as dashboards and screens, to monitor employees’ billable and unbilled information across multiple accounts

AI-driven CRM

Use-case code: 10043

Goal: Ship a lightweight, AI-assisted CRM that sales can actually use: capture leads, qualify, advance deals, generate outreach, summarize meetings, and forecast, all runnable on Replit.

Build:

• Entities: Accounts, Contacts, Leads, Opportunities, Activities/Notes, Users/Roles
• Pipelines/Stages: Qualify, Develop, Propose, Negotiate, Close (Won/Lost)
• Views: Kanban board, List tables, Opportunity detail, Account 360, Activity timeline
• AI Helpers: Lead enrichment (from notes/CSV), BANT/MEDDICC extraction and scoring, outreach drafts (email/LinkedIn), meeting summaries, simple forecast (stage + velocity + heuristic)

Demo expectations: Kanban pipeline view, lead enrichment in action, AI-driven qualification score, auto-drafted outreach, and meeting summary feeding into forecast

Virtual Business Development Representative (BDR)

Use-case code: 10044

Goal: Create a self-running AI agent that sources, enriches, and engages prospects — just like a junior SDR/BDR — becoming the top-of-funnel engine for the sales team.

Build:

• Prospect Identification: Generate/import target lists based on ICP (industry, region, persona)
• Contextual Research: Enrich accounts with firmographics, news, funding, and tech stack
• Personalized Outreach: Draft emails, LinkedIn InMails, and call scripts tailored to persona
• Engagement Scoring: Prioritize prospects based on AI-estimated response likelihood
• Seamless Handoff: Push qualified leads into Opportunities in HexaCRM or export to CSV/Dynamics

Demo expectations: Account research summary, persona-based pitch creation, AI-drafted multi-channel outreach (email, LinkedIn, call opener), and engagement scoring with handoff to CRM

CommuteAI

Use-case code: 10045

Goal: Streamline and optimize employee transportation by leveraging technology for cost savings, enhanced safety, operational efficiency, and improved employee satisfaction, while ensuring compliance and scalability.

Build:

• Dynamic Route Optimization: A cloud-based platform that uses real-time traffic data and predictive analytics to generate the most efficient routes for employee pickups and drop-offs, dynamically adjusting to traffic, road closures, and other disruptions

• Secure Employee Authentication: Integration with secure authentication methods (e.g., company SSO or mobile OTP) to ensure only authorized employees can access and book transport services

• Automated Scheduling and Booking: Employees can book rides via a user-friendly web or mobile app; the system automatically schedules vehicles based on demand, proximity, and capacity, reducing manual intervention and errors

• Live Tracking and Safety Features: Real-time GPS tracking of vehicles, with features such as panic buttons, live monitoring, and automated alerts to ensure employee safety and quick response to incidents

• Compliance and Audit Module: Automated compliance checks and audit trails to ensure adherence to regulatory requirements and company policies, with regular updates and reporting

• Cost and Environmental Analytics: Dashboards and reports that provide insights into cost savings, operational efficiency, and environmental impact (e.g., reduced mileage and emissions)

Demo expectations: Show an employee booking a ride, dynamic vehicle and route assignment, live tracking, a simulated safety incident triggering an immediate alert and response, and dashboards reporting compliance, cost savings, and reduced carbon emissions

Venture – The Internal Talent Marketplace

Use-case code: 10046

Goal: Empower internal talent by connecting employees with available capacity — whether on the bench or eager to take on more beyond their primary role — to short-term projects that accelerate innovation and optimize resource utilization.

Build:

• Venture Workbench: Managers post projects (POCs, small tasks) with AI-assisted scoping, skill tagging, and capacity flags (bench/extra hours)
• Talent Marketplace: Employees showcase full skill sets (core + hidden) and declare “bench” availability or “extra hours” They browse and apply for Ventures
• AI Matchmaking: Proactively notifies employees of perfectly matched Ventures based on skills, availability, and capacity
• AI Team Builder: Suggests optimal, cross-functional teams from both bench talent and employees eager to take on more beyond their primary role
• Strategic Analytics: Provides leadership with dashboards on bench utilization, innovation velocity, and emerging/hidden skill trends

Demo expectations: Show a manager posting a project, an employee (bench/extra hours) receiving an AI match, the manager forming a team using AI, and a leader viewing real-time insights on talent deployment

Internal Audit Platform

Use-case code: 10047

Goal: Give audit teams and compliance officers a single pane of glass to schedule, manage, and track audits while ensuring regulatory readiness.

Build:

• Audit Workbench: Centralized dashboard for planned and ongoing audits with role-based access
• Process s Evidence Repository: Store policies, procedures, and audit evidence securely
• Risks Control Library: Map controls to risks and regulations; auto-link evidence
• Automation Engine: Schedule recurring audits, send alerts, and track remediation tasks
• Analytics: Audit coverage, open closed findings, risk trends

Demo expectations: Simulate an internal IT audit, upload supporting evidence, track findings, and generate a real-time compliance report

ESG Platform

Use-case code: 10048

Goal: Enable sustainability teams and executives to track, analyze, and report ESG performance aligned with global frameworks.

Build:

• Data Workbench: Ingest emissions, workforce diversity, supply chain data, governance policies
• Model Library: Pre-built GRI, SASB, CSRD, and SEBI BRSR templates for reporting
• Scenario Testing: Model carbon tax impacts, net-zero initiatives, and diversity targets
• Portfolio Tools: Compare business units/projects on ESG scores; simulate cost savings from green initiatives
• Reporting: Auto-generate regulator-compliant disclosures and board-ready ESG dashboards

Demo expectations: Input ESG data for two business units, test a carbon pricing scenario, and generate a board-level sustainability report

Bench/Talent Management Platform

Use-case code: 10049

Goal: Reduce bench costs and increase workforce agility by matching talent to opportunities faster using AI-driven profile scoring.

Build:

• Talent Workbench: View available bench talent, their profiles, and readiness for deployment
• Model Library: AI-based JD–candidate fit scoring; role recommendation engine

• Scenario Testing: Test “what if” scenarios for project demand spikes or skill shortages
• Portfolio Tools: Monitor utilization rates, predict bench costs, and model attrition impacts
• Reporting: Export bench utilization summaries, deployment plans, and skill heatmaps

Demo expectations: Match two internal candidates to open JDs, run a utilization scenario, and generate a cost-saving workforce plan

Enterprise Skills Management Platform

Use-case code: 10050 

Goal: Empower employees and managers to capture, validate, and optimize skills data for workforce planning and career growth.

Build:

• Skills Workbench: Employee self-service profile for skills, certifications, and resumes
• Model Library: AI-driven skill validation, gap analysis, and career path mapping models
• Scenario Testing: Test workforce readiness for new technologies, client demands, or projects
• Portfolio Tools: Aggregate skill coverage by BU, geography, or client account; identify gaps
• Reporting: Export skill inventory reports, heatmaps, and tailored learning path recommendations

Demo expectations: Add two employees with skill profiles, run a gap analysis for an AI project, and generate a workforce-readiness report

Hexavarsity AI Learning Path Optimizer

Use-case code: 10051

Goal: Personalize learning journeys for employees by leveraging GenAI to recommend optimal skill development paths based on career goals, current competencies, and market demands.

Build:

• Skills assessment engine using AI-powered competency mapping
• Personalized learning path generator based on role requirements and career aspirations
• Integration with existing learning management systems and external course providers
• GenAI-powered content curator that suggests relevant courses, tutorials, and hands-on projects
• Progress tracking dashboard with milestone achievements and certification pathways
• Peer learning matching system for collaborative skill development
• Mobile-responsive interface for on-the-go learning access

Demo expectations: Demonstrate personalized learning recommendations for different employee profiles, showing skill gap analysis and automated course suggestions with progress tracking

Finance Process Automation and Compliance Monitor

Use-case code: 10052

Goal: Automate routine financial processes and ensure regulatory compliance through intelligent document processing and real-time monitoring systems.

Build:

• OCR and NLP-powered invoice processing with automated approval workflows
• Integration with Oracle Financials Cloud for seamless data synchronization
• Expense report anomaly detection using machine learning algorithms
• Regulatory compliance dashboard with automated alerts for policy violations
• Budget variance analysis with predictive forecasting capabilities
• Vendor payment optimization system with cash flow management
• Audit trail automation with comprehensive reporting features

Demo expectations: Demonstrate automated invoice processing, compliance monitoring alerts, and predictive budget analysis with exception handling workflows

Intelligent Procurement Vendor Ecosystem Manager

Use-case code: 10053

Goal: Optimize vendor relationships and procurement decisions through data-driven insights, automated sourcing, and performance analytics.

Build:

• Vendor performance scoring system using multi-criteria decision analysis
• Automated RFP generation and response evaluation using AI algorithms
• Supply risk assessment dashboard with geopolitical and financial indicators
• Contract lifecycle management with automated renewal notifications
• Spend analysis engine with category optimization recommendations
• Supplier diversity tracking and reporting for ESG compliance
• Integration with external market intelligence platforms for competitive pricing

Demo expectations: Present vendor performance analytics, automated sourcing workflows, and risk assessment capabilities with cost savings projections

Admin Smart Facility and Resource Management Hub

Use-case code: 10054

Goal: Optimize office space utilization, resource allocation, and facility operations through IoT integration and predictive analytics.

Build:

• IoT sensor integration (Mock) for real-time seat occupancy monitoring
• Meeting room booking optimization with smart scheduling algorithms
• Asset tracking system using QR codes and RFID technology
• Predictive maintenance scheduling for facility equipment
• Energy consumption analytics with sustainability recommendations
• Visitor management system with contactless check-in capabilities
• Mobile app for employee facility requests and issue reporting

Demo expectations: Show real-time facility utilization dashboards, automated resource allocation, and predictive maintenance scheduling with cost optimization insights.

Information Governance Data Privacy and Compliance Orchestrator

Use-case code: 10055 

Goal: Ensure enterprise-wide data governance, privacy compliance, and security through automated monitoring, classification, and remediation systems.

Build:

• Automated data classification engine using AI-powered content analysis
• Privacy impact assessment workflows with GDPR/CCPA compliance checking
• Data lineage mapping and metadata management system
• Sensitive data discovery and masking automation
• Compliance reporting dashboard with real-time violation alerts
• Employee training and certification tracking for data handling policies
• Integration with existing security tools for holistic data protection

Demo expectations: Demonstrate automated data classification, compliance violation detection, and remediation workflows with regulatory reporting capabilities

Enterprise IT and Business Platform

Use-case code: 10056

Goal: Create a foundational, working prototype of a business process automation and IT service management platform that allows users to submit requests and track their status.

Build:

• No-code/low-code development environment for building custom forms and approval workflows; this can be a simple drag-and-drop interface or a configuration-based system
• User-facing service portal where employees can submit requests, such as “Request New Laptop” or “Report an Incident”
• IT service management module that includes incident, problem, and change management; this module should allow IT agents to view, update, and resolve requests
• Reporting dashboard to display the number of open incidents and pending change requests
• Authentication system to distinguish between end-users and IT agents

Demo expectations: The team creates a new service request form with the no-code/low-code builder, an end-user submits it via the portal, and an IT agent manages it through the IT module—updating, assigning, and resolving it; the reporting dashboard reflects these status changes in real time

Human Capital Management (HCM) System

Use-case code: 10057

Goal: Develop a minimum viable product (MVP) of an HCM system that centralizes key employee data and streamlines essential HR workflows.

Build:

• Core HR module for maintaining employee records, including personal information, job roles, and a searchable directory
• Organizational chart viewer that dynamically displays the company’s hierarchy based on the data in the core HR module
• Talent management module with basic functionality for managing recruitment and performance reviews; this should allow for a simple “New Hire” workflow and a system for logging a performance review
• Workforce management module that enables employees to log their time and managers to approve timesheets
• Employee self-service portal where employees can view their own information and submit requests, such as time-off requests

Demo expectations: The team will show a new employee added to the HR module appearing in the org chart, submitting a performance review, logging weekly hours in the self-service portal, and a manager approving the timesheet—all in a seamless, end-to-end flow

Financial Management and Accounting Platform

Use-case code: 10058

Goal: Build a core financial system prototype that handles the lifecycle of a financial transaction, from invoice creation to expense tracking and payment.

Build:

• General ledger module to record all financial transactions; the ledger should be auditable, showing a clear history of debits and credits
• Accounts payable module for managing and paying vendor invoices; it should allow for the creation of new invoices, their approval, and tracking
• Accounts receivable module for invoicing customers and managing incoming payments
• Expense management module where employees can submit expense reports with attached receipts for approval
• Dashboard that summarizes the company’s financial health, displaying key metrics like total accounts payable and receivable

Demo expectations: The team will show the life cycle of a financial transaction, from creating and approving a vendor invoice, recording it in the general ledger, and submitting an expense report, to all transactions appearing in the real-time finance dashboard

Reimburse – The Employee Expenses Reimbursement Platform

Use-case code: 10059 

Goal: Make reimbursements fast, compliant, and transparent—shrinking cycle time from weeks to hours while giving finance real-time spend visibility.

Build:

• Smart Capture: Receipt scan, email-forwarding of receipts, OCR with currency detection, auto-categorization, and duplicate detection
• Policy Engine: No-code rules by country/business/grade; per-diem C mileage (maps-based), cash limits, GST/VAT handling, and clear “why flagged” explanations
• Approval SLAs: Multilevel, conditional routing, delegation, and reminders; approve from web, mobile, email, or Slack/Teams
• Finance Workbench: Audit queue with risk scoring, sample audits, exception workflows, and complete audit trails C retention
• Integrations: (Mock integrations). Payroll, HRMS for org hierarchy, ServiceNow for tickets, and SSO/RBAC
• Compliance Controls: Fraud/duplicate detection, vendor C category allowlists, attachment completeness checks, and data residency controls
• Analytics: Live dashboards for spend by cost center/category, policy breaches, cycle time C SLA adherence, top merchants, forecasts, and travel CO₂ estimates

Demo expectations: Show an employee snapping a taxi receipt; AI extracts details, classifies the expense, applies policy checks, and fills the claim; mileage auto-calculates from a map; the manager approves from Teams; finance reviews a risk-scored exception, posts a batch to ERP/payroll (Mock), and the employee gets payout confirmation; a leader opens the analytics dashboard to see spend trends and policy violations dropping

Elevate – The Annual Appraisals Growth Platform

Use-case code: 10060 

Goal: Run fair, fast, and insight-rich annual reviews that drive performance, pay decisions, and development while reducing manager/HR effort.

Build:

• Smart goals KRAs: AI-assisted goal/KRA drafting from role, past projects, and business priorities; library templates by job family and country; auto-alignment to org objectives
• Evidence Vault: Continuous check-ins, kudos, outcomes, and artifacts pulled from Jira/GitHub/ServiceNow/Salesforce/Email/Docs; one-click attach to goals
• Competency Skills: Role-based competency models with level descriptors; proficiency ratings; AI suggestions grounded In attached evidence and measurable
• Fair Ratings Calibration: 9-box and normalization boards with anonymized views, drag-and-drop adjustments, bias/language checks, and variance alerts across teams
• 360 Peer Input: Configurable peer/skip-level feedback with calibrated questions; AI de-duplication and sentiment synthesis; confidential routing where required
• Manager Copilot: Drafts summaries, highlights impact, flags rating/rationale gaps, and proposes development actions while explaining “why” with cited evidence
• Comp Planning Bridge: Merit/bonus/promo proposals with budget guardrails, eligibility rules, and what-if scenarios; exports to payroll/ERP securely
• Workflows SLAs: Country/business/grade-specific cycles (mid-year, year-end), multi-stage approvals, delegation, reminders/escalations, and e-signatures
• Integrations Security: HRMS/SSO/RBAC; Oracle Fusion/Workday/SAP for hierarchy C comp; LMS (Cornerstone/LinkedIn Learning) for IDPs; encryption, audit trails, data residency
• Analytics: Completion funnels, bell curve distributions, rating drift by org/manager, DEI fairness checks, promotion velocity, top skill gaps, and training impact

Demo expectations: Show AI-drafted goals with auto-pulled project evidence, employee check-ins, and a manager using the copilot for appraisal, rating, and peer input; HRBP calibrates ratings with bias alerts and models comp changes; and the flow ends with the employee’s review package, personalized development plan, and leadership dashboards on completion, ratings, and skill gaps

Recruitment Navigator Bot

Use-case code: 10061

Goal: Enable recruitment teams and new joiners with instant access to policy guidance, workflow clarity, and platform support, reducing onboarding friction and improving compliance.

Build:

• Navigator Console: AI-powered assistant that explains Hexaware’s recruitment

policies, approval workflows, and team-wise responsibilities

• Platform Support Engine: User Awareness Troubleshooting Steps across Product Catalog (e.g., Rchilli, ORC, Glider, Hyreo, and PowerBI) with contextual guidance
• Onboarding Assistant: Guides new joiners through Day-1 readiness, ticketing processes, and access provisioning
• Responsibility Mapper: Visualizes team roles and escalation paths for faster issue resolution

Demo expectations: Show a recruiter querying policy guidance, a new joiner receiving Day-1 instructions, and a TA Ops lead viewing compliance metrics

SkillSync Bot

Use-case code: 10062

Goal: Personalize candidate engagement by aligning Hexaware’s technical strengths

with applicant profiles—boosting interview conversion and brand resonance.

Build: 

• Tech Achievements Crawler: Extracts authentic wins and project highlights from internal and external sources
• Skill Matcher: Maps applicant skills to relevant Hexaware capabilities and generates tailored selling points
• Engagement Engine: Sends curated nudges post-interview to re-engage passive talent
• Brand Amplifier: Equips interviewers and recruiters with personalized pitch decks aligned to candidate profiles

Demo expectations: Show a recruiter entering candidate skills, the bot generating personalized selling points, an interviewer using them during the session, and the candidate receiving a follow-up nudge with curated content

Webpage Analytics Dashboard

Use-case code: 10063

Goal: Build a web-based analytics dashboard that tracks and visualizes key user engagement metrics for webpages and provides strategic insights.

Build:

• Track page views to measure overall reach and traffic trends
• Monitor active usersto understand real-time activity
• Measure engagements(clicks, interactions) to evaluate content effectiveness
• Track scrolled users to understand how far visitors explore a page
• Provide automated insightsand takeaways summarizing audience behavior patterns

Demo expectations: Show a dashboard displaying users, engagements, scroll depth, and trends with visual graphs, providing automated insights and clear summaries for quick, informed decisions

Carbon Offsetting through Micro-donations

Use-case code: 10064

Goal: Let customers automatically offset their carbon footprint by donating small amounts to verified climate projects (tree planting, renewable energy).

Build:

• Carbon footprint calculator from transactions
• Round-up/donation engine (e.g., INR 2 extra per transaction goes to offsets)
• API integration with mock carbon offset projects
• Dashboard showing “Your lifestyle offset 50kg CO₂ this month”

 Demo expectations: Spend ₹1,000 on petrol → system offers to add ₹20 offset donation → dashboard shows how many trees planted

Paperless KYC and Document Verifier

Use-case code: 10065

Goal: Reduce delays in customer onboarding by digitizing the KYC process and automatically verifying submitted documents.

Build:

• Full-stack app with Express.js + React 
• Secure file upload (PAN, Aadhaar, passport mock files) 
• OCR or regex-based validation to extract key fields (name, DOB, ID numbers) 
• Approval workflow where customer submits → system verifies → banker approves/rejects

 Demo expectations: Upload mock documents, system extracts details, shows verification results, and banker approves/rejects instantly

Generative AI Financial Advisor

Use-case code: 10066

Goal: Build an AI-powered chatbot that provides personalized financial advice (budgeting, investment suggestions, loan repayment strategies) using uploaded bank statements.

 Build:

• Full-stack app with Next.js + Express.js
• Bank statement ingestion (CSV upload)
• AI model (OpenAI API or local LLM) to analyze spending/saving patterns
• Chatbot UI to interact and get recommendations
• Optional: Visual charts supporting the chatbot’s advice (Nice to have)

 Demo expectations: Upload a statement, ask chatbot “How much can I save monthly?” or “Should I prepay my loan?” → AI responds with advice + charts.

Green Banking Carbon Footprint Tracker

Use-case code: 10067

Goal: Show customers the carbon footprint of their spending (e.g., travel, shopping) and suggest eco-friendly alternatives.

 Build:

• Transaction categorizer (AI model with categories → travel, fuel, fashion, etc.)
• Mock carbon footprint dataset per category
• Dashboard with eco-suggestions (e.g., “Train instead of flight saves 50kg CO₂”)
• Gamification (badges for eco-friendly spending)

 Demo expectations: Upload statement, system shows CO₂ footprint of spending and “Green Score”

Intelligent Document Processing and Workflow Automation

Use-case code: 10068

Goal: Automate document submission, verification, and approval workflows to ensure accuracy, compliance, and efficiency

Build:

• Document Upload: Allow users to upload documents through an intuitive interface
• Automated Verification: Extract information and validate against internal systems, external databases, and regulatory lists for accuracy and completeness
• Approval Workflow: Route documents and data through approval chains defined by business rules, risk thresholds, and regulatory requirements
• Exception Handling: Provide user-friendly interfaces for managing exceptions, corrections, and edge cases that require human review

Demo expectations: Show a document upload, automated verification, routing through approvals, and quick resolution of exceptions before final approval

Reporting and Analytics Platform

Use-case code: 10069

Goal: Provide an application for reporting and analytics using a Data Lake to support credit and lending, financial performance, and regulatory and risk management needs

Build:

• Credit and Lending Analytics
  • Loan origination performance: Pipeline velocity, approval rates, pricing optimization, and competitor win/loss analysis across different loan products and market segments
  • Portfolio concentration risk: Geographic, industry, and borrower concentration metrics with stress testing and scenario analysis for commercial lending portfolios
  • Provision and charge-off forecasting: CECL-compliant loss forecasting models with economic scenario integration and vintage analysis for different loan cohorts
• Financial Performance and Profitability
  • Net interest margin analysis: Interest rate sensitivity analysis, asset-liability duration matching, and margin compression or expansion drivers with scenario modeling for rate environment changes
  • Customer profitability analytics: Relationship-level profitability including cost-to-serve, product cross-sell opportunities, and lifetime value analysis across retail, commercial, and wealth management segments
  • Fee income optimization: Non-interest income tracking by source such as cards, treasury management, and wealth fees with benchmarking against peer institutions and market opportunity analysis
  • Efficiency ratio management: Operating leverage metrics, cost-per-transaction analysis, and branch or digital channel profitability with workforce productivity insights
• Regulatory and Risk Management Dashboards
  • Capital adequacy and stress testing: Real-time monitoring of Tier 1 capital ratios, risk-weighted assets, and stress test scenarios with automated regulatory reporting for Basel III or IV compliance
  • Credit risk portfolio management: Loan portfolio health metrics, probability of default models, loss given default analysis, and early warning indicators for credit deterioration across commercial, consumer, and mortgage portfolios
  • Liquidity coverage and NSFR monitoring: Daily liquidity coverage ratio tracking, net stable funding ratio management, and cash flow forecasting to ensure regulatory compliance and optimize funding costs
  • AML and BSA compliance: Automated suspicious activity monitoring, customer due diligence status tracking, and regulatory filing metrics with case management workflow visibility
• Connect to a custom DataLake prepared by the institute, with mock data sources and generated mock data to support all reporting above

Demo expectations: Demonstrate dashboards showing loan origination performance, portfolio concentration risk, and CECL forecasting. Walk through profitability analytics such as net interest margin and customer profitability. Show regulatory dashboards for capital adequacy, stress testing, liquidity coverage, and AML compliance, using mock data from the Data Lake to simulate real-world reporting

Enterprise Data Analytics Portal Redesign

 Use-case code: 10070

Goal: Rethink the current Enterprise Data Analytics Portal to make it more seamless, usable, powerful, and insightful

Build:

• Custom Front End: Develop a fully connected front end that integrates the landing page with data views
• Landing Page Design: Create a landing page that conveys awareness and value, with dynamic aspects driven by user role and prior activity
• Data Views: Focus on one or two representative use cases to keep the experience simple and clear
• Insights Presentation: Surface key insights prominently to demonstrate direct business value
• Personalization: Enable light customization options to improve user experience and flexibility
• Simulated Data: Use mock datasets throughout to avoid security risks
• Error Handling with Prompts: Intentionally generate “wrong answers” to showcase how prompts can quickly resolve issues
• Feature Evolution: Demonstrate how new features can be added rapidly via prompt-driven interactions

Demo expectations: Highlight a role-based landing page connected to simplified data views, surface key insights clearly, show error resolution via prompts, and demonstrate quick personalization and feature evolution using simulated data

Early Warning System (EWS)

Goal: Develop an application that predicts the flight risk of consultants by combining objective data with subjective human insights

Build:

• Objective Parameters: HR template to track performance rating, aging from promotion/DOJ, quartile positioning, rewards, certifications, skill classification, onsite travel, visa status, working hours, utilization percentage, and touchpoints
• Subjective Parameters: HR template for line managers to capture career and role clarity, personal concerns, onsite aspirations, behavioral issues, and compensation concerns
• Scoring Algorithm: Model to calculate risk scores (high, medium, low) across both objective and subjective parameters
• Dynamic Dashboard: Displays overall objective and subjective scores with filtering, slicing, and dicing options
• HR Self-service Module: Allows users to download reports of employees flagged as at risk, with key details included

Demo expectations: Employees are added with objective and subjective parameters that flow into a dynamic dashboard.; the team filters at-risk employees, slices the data, and downloads reports, with real-time updates as parameters change

Aura – An Intelligent Oversight Platform

Use-case code: 10072

Goal: Provide an intelligent, human-centric system that ensures the accuracy and integrity of critical business processes by automating exception handling and delivering clear, actionable insights for decision-making.

Build:

• Process Automation and Exception Engine: Handles automated workflows, applies business rules, flags data or actions that do not meet criteria, and routes exceptions for review
• Human Validation and Intervention Dashboard: User interface for reviewing flagged exceptions, accessing context, making decisions (approve, reject, modify), and re-submitting data into the workflow
• Reporting: Tracks and aggregates data on process performance, exception types, resolution times, and user activity
• Admin and Configuration: Allows administrators to manage system settings and configurations
• Notification System: Sends real-time alerts via email or in-app when tasks are assigned, exceptions are resolved, or processes are completed

Demo expectations: Simulate end-to-end workflow with automated exception detection, human review of flagged items, and dashboard reporting. Show notifications triggering for task assignments and completed actions, with aggregated insights visible in the reporting module

Access Provisioning and UAT Tracking Application

Use-case code: 10073

Goal: Create an application that tracks user access provisioning and UAT status, escalates delays, and provides real-time alerts and reporting for Agents and Supervisors.

Build:

• Application and Users Tracker: Detailed list of Agents, Supervisors, and applications required for each LOB or process
• Access Provisioning Timeline: Track provisioning timelines for each user and application
• UAT User Access Testing: Capture real-time UAT inputs from Operations for each user and application
• Automation Engine: Schedule recurring delay alerts, send notifications, and track UAT completion
• Dashboard and Analytics: Monitor application coverage, open or pending accesses, and delay trends

Demo expectations: Simulate an internal report showing access provisioning and UAT status, highlight delays in provisioning, and generate real-time alerts and end-of-day UAT reports for stakeholders

Prospectus / DHRP Extractor

Use-case code: 10074

Goal: Give analysts a fast, reliable way to review IPO/offer documents by auto-structuring key terms, timelines, covenants, and risk factors with citations.

Build:

• Document Intake: Upload Prospectus/DHRP PDFs and addenda; basic OCR for scanned pages
• Section Extractor: Detect ToC, key sections (Summary, Offer Details, Risk Factors, Covenants)
• Table Parser: Extract terms/timelines/offer structure tables into structured fields
• Risk Summarizer: Generate concise risk bullet points with inline citations (page/section)
• Compliance Checker: Flag compliance red-flags (e.g., missing disclosures, risky covenants)
• Term Sheet Generator: Compose a structured “deal term sheet” (JSON + human-readable)

Demo expectations: Upload a sample DHRP → show auto-extracted sections & tables → display a generated term sheet and a risk summary, each item clickable to a cited page/paragraph

Multi-Company Financial Report (aka Side-by-Side Company Compare)

Use-case code: 10075

Goal: Create instant, error-reduced side-by-side comparisons from filings, KPIs, and (optionally) web data.

Build:

• Data Ingestion: Accept company PDFs/HTML (10-K/10-Q), research notes, and CSV KPIs
• Entity/KPI Alignment: Normalize company names, map metric synonyms (e.g., “Adj. EBITDA”)
• Comparator/Aligner: Line up like-for-like metrics across years/companies
• Report Composer: Generate a structured comparison table and concise highlight callouts
• (Optional) Web Enricher: Pull 1–2 public metrics if available; cache to avoid rate limits

Demo expectations: Load 2–3 companies with mixed sources → show a clean comparison table with highlights (e.g., revenue, profit, growth deltas, margin diffs) → export/share as CSV/HTML

You must register by 16th (4 PM IST) to receive your Replit license on the 17th. Registration must be completed using Hexaware SSO only.

All registered participants will receive access to Replit on the 17th (IST), immediately after the VIBEATHON 2025 launch communications are sent

You’ll receive an activation email from Replit on the 17th. Follow the instructions in the email to finalize access. If you don’t see it, check your spam/junk folder and search for “Replit”

You must register by the 16th (4:00 PM IST) to receive your Replit license access on the 17th. Registration must be completed using Hexaware SSO only. Late registrations may not be provisioned in time for the build window.

Only the use cases published on the official VIBEATHON 2025 landing page are permitted. Submissions outside these use cases will be disqualified. Each app must correspond to a valid UseCaseNumber from the landing page

Name your app exactly as: Use-case Code_Employee ID
The UseCaseNumber must match one of the official use cases listed on the landing page

Examples:
10012_20000VXYZ
10016_10000VXYZ

Any other format will be disqualified. Tip: Rename your Repl to match this pattern before submission

All apps must be developed on Replit only. Your coding, running, and submission should be completed on Replit

You have 48 hours from the official launch to complete your app. Submissions after this window will not be accepted

We strongly recommend focusing on a single app. With only 48 hours, concentrating on one high-quality build usually yields the best results

• All dates/times are IST (UTC+5:30)
• Registration must be completed using Hexaware SSO
• Keep your app name compliant from the start to avoid disqualification
• Only code built on Replit qualifies

• Video Guides (YouTube @replit): Short how‑tos, feature explainers, and live demos
  https://www.youtube.com/@replit
• Getting Started — Replit Learn: Beginner-friendly courses, tutorials, and lessons (includes “YouTube Tutorials” and “Deployments”)
  https://replit.com/learn
• Official Docs — Intro to Replit: Step-by-step basics to get productive quickly
  https://docs.replit.com/getting-started/intro-replit

1. Open the activation email on the 17th and accept access.
2. Log in at replit.com and click Start Building.
3. Create your project on Replit (no external IDEs).
4. Rename your Repl to the mandated format: Use-case Code_Employee ID.