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Zero Tickets
Resolve disruption before users feel it, and stop predictable demand before it ever reaches the queue.
Resolve disruption before users feel it, and stop predictable demand before it ever reaches the queue.
Hexaware helps enterprises automate IT ticket resolution with AI and move from reactive support to self-healing IT operations. Agentic AI reads live signals, resolves routine issues, and removes the causes of demand, so fewer tickets are ever created.
How IT Operations Move from Reactive Support to Self-Healing
Most support models close tickets faster, but the queue keeps refilling because nothing addresses why the tickets appear. Hexaware's Zero Tickets combines agentic AI for IT operations with service desk automation. Agents read live operational signals, reason over context, and resolve routine issues before users notice. Recurring incidents are fixed at the root, so demand falls rather than simply moving faster.
Cut the Demand Instead of Chasing the Queue
Every service desk has a queue that never empties, because faster resolution does nothing about why tickets appear. Zero Tickets goes after the source: agentic AI spots recurring issues, fixes them at the root, and deflects the repetitive requests that make up so much of the volume. This creates sustained IT ticket reduction rather than faster queue movement. With Tensai® for Reasoning Ops, the approach targets a 5 to 12% drop in incident demand, lifting real workload from the team and reducing user interruptions.
Resolve the Incidents That Remain in Less Time
Some issues will always need attention, and when they do, resolution speed decides how much the business feels it. Zero Tickets shortens that gap: agents read live signals, reason over operational context, and surface evidence-backed fixes so the right action happens sooner instead of after rounds of diagnosis. With Tensai® for Reasoning Ops, mean time to resolution is designed to improve by 25 to 40%, so outages are shorter and your team focuses on the incidents that need human judgment.
Keep People Working Instead of Waiting on IT
When a laptop stalls or an app locks up, the real cost is not the ticket, it is the work lost while someone waits for help. Zero Tickets keeps employees moving. Predictive self-service, virtual assistants, and automated fixes handle common problems the moment they surface, and when help is needed it arrives fast across chat, voice, or portal. A digital workplace transformation Hexaware delivered cut call volumes by 14% in the first year through self-service, so people work instead of waiting.
Track How Work Feels, Not Just Whether Systems Are Up
Uptime tells you the server is running; it does not tell you whether people can get their work done. Zero Tickets shifts the measure to experience itself. Sentiment analysis surfaces the friction users feel, and proactive support resolves issues before they spread. With Tensai® for Reasoning Ops, SLA and user experience are designed to improve by 10 to 20%, so you can show leadership that work is getting smoother, not just that the lights are on.
Spend Less to Run Operations at Higher Quality
Traditional operations scale cost with volume: more tickets and systems mean more people and spend. Zero Tickets breaks that link. By removing demand at the source and automating the repeatable work, the same team covers more without the usual headcount curve. With Tensai® for Reasoning Ops, cost to serve is designed to fall by 10 to 18%, so operations get more affordable even as quality improves, and savings can be redirected toward work that moves the business forward.
Tensai® brings agentic AI to IT operations. Agents read live operational signals, reason over context from observability, CMDB, topology, and dependency data, and recommend evidence-backed actions, while human experts validate and execute the ones that matter.
Hexaware runs end-user operations through a defined model: auto-heal, proactive maintenance, self-management, virtual assistance, live agents, and smart hands. Support scales from fully automated resolution up to hands-on help, matching each issue to the lightest touch that resolves it.
AI-powered sentiment analysis uncovers user pain points and prioritizes fixes, moving the measure of success from uptime to experience. Omnichannel support across chat, voice, and self-service portals keeps help one click away, so service is judged on how work actually feels.
An AI-enabled workplace platform delivers predictive self-service, automated upgrades, and IT ticket deflection. Common requests are resolved through self-help and virtual assistants as soon as they arise, so routine demand never reaches a human agent in the first place.
Agentverse™ deploys ready-to-deploy ITSM and service desk agents that triage tickets, propose fixes, and auto-resolve repetitive tasks. Integrated with your ITSM and knowledge tools, they deflect routine demand so human agents handle only what needs them.
Agents operate under role-based access, audit trails, observability, and policy guardrails, with humans validating high-impact actions. Automation scales safely across the estate, staying accountable and aligned to enterprise compliance at every step.
Tensai® for Reasoning Ops reads live operational signals, reasons over enterprise context, and recommends evidence-backed actions for human validation. It is the engine behind moving from reactive support to self-healing, demand-reducing operations.
Ready-to-deploy agents that triage tickets, propose fixes, and auto-resolve repetitive tasks across your ITSM and knowledge tools. Governed by role-based access and audit trails, they deflect routine demand so people handle only what needs them.
Explore how Hexaware applies agentic AI across software delivery, technical debt, cybersecurity, IT operations, quality, and SaaS optimization to reduce friction, risk, and cost.
Zero Tech Debt
Use agentic AI to identify, prioritize, and remediate technical debt continuously. Improve code health, reduce hidden legacy risk, and modernize applications faster, at lower cost and greater scale.
Zero Backlog
Connect requirements, code, testing, and release in one governed, agentic flow. Reduce hand-off delays, prevent work from piling up, and move business intent into production-ready software faster.
Zero Vulnerability
Unify strategy, engineering, and security operations to reduce cyber risk continuously. Align controls with business priorities, compliance needs, and emerging AI risks while strengthening trust.
Zero Defects
Prevent defects before release through shift-left testing, continuous quality signals, and AI-based validation. Improve release confidence, reduce production escapes, and assure AI systems with evidence.
Zero License
Replace bloated SaaS workflows with AI agents that handle intake, routing, execution, and follow-up. Expose shelfware, spend leakage, and tool overlap to cut license costs within months.
The most effective strategy is to remove the causes of demand rather than only close tickets faster. Zero Tickets combines service desk automation, predictive self-service, and root-cause remediation so common issues are prevented, deflected, or resolved before users need help. This creates sustained IT ticket reduction because recurring incidents stop returning to the queue and human teams focus on exceptions.
Agentic AI for IT operations can correlate live observability, CMDB, topology, dependency, and knowledge data to identify why the same incident keeps returning. Zero Tickets uses that context to recommend evidence-backed corrective actions and automate repeatable fixes under human oversight. Automated incident resolution then addresses the underlying pattern, not merely the latest ticket created by it.
The shift starts by monitoring experience and operational signals continuously, then acting before disruption becomes a user-reported issue. Self-healing IT operations combine auto-heal, proactive maintenance, virtual assistance, and intelligent escalation. Agents detect emerging patterns, apply approved fixes, and surface high-impact decisions to people, moving the operating model from queue management to prevention.
Yes. Cost can fall when automation removes repetitive demand and routes each issue to the lightest effective level of support. ITSM automation, self-service, virtual agents, and governed auto-remediation let the same team cover more while preserving access to live agents and smart hands for complex work. Success should be measured through ticket volume, cost to serve, resolution time, SLA performance, and user experience.
Apply automation at the points where users and support teams lose the most time: diagnosis, knowledge retrieval, routine fulfillment, ticket routing, and approved remediation. By using AI in IT service desk tasks, Zero Tickets can deflect simple requests and give agents evidence-backed next actions for the incidents that remain. That reduces waiting without relying on a larger service desk.
Look for a provider that combines AIOps, service desk automation, IT ticket deflection, and workplace support rather than treating them as separate tools. The model should integrate with observability, CMDB, ITSM, and knowledge platforms; include role-based access, audit trails, and human validation; and measure incident prevention as well as resolution. The best AI solutions for minimizing ticket resolution delays also reduce the number of tickets created.
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