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Leverage the Benefits of GenAI
Generative AI Services
Turn generative AI from promising demos into secure, working solutions in production, with Hexaware.
Turn generative AI from promising demos into secure, working solutions in production, with Hexaware.
Hexaware brings deep generative AI consulting and engineering together with proprietary platforms and a responsible AI foundation to take enterprises from their first use case to secure production.
How Enterprises Scale Generative AI Safely Beyond Proof of Concept
Most GenAI initiatives stall after the proof-of-concept due to data risks, hallucinations, and weak governance. Hexaware addresses these by grounding models in governed enterprise data, adding guardrails and human oversight, and continuously monitoring outcomes. We prioritize high-ROI use cases and scale AI securely with domain-specific models and built-in controls.
Practical, flexible ways to bring GenAI into your business, spanning consulting, co-built delivery, engineering depth, and integration with your AI stack.
GenAI Consulting and Strategy
Partner with our experts, from ideation to a clear strategic roadmap, so your GenAI program starts with a plan tied to real business goals rather than isolated experiments.
Product-oriented GenAI Delivery
We build alongside your teams, turning shared ideas into a working GenAI implementation, so what you ship reflects how your people work and keeps improving after the first release.
GenAI Engineering and NLP
Leverage our NLP engineers to build generative AI grounded in industry-specific language and context, delivering accurate, relevant results that perform in real-world use.
GenAI Integration
We connect GenAI with your existing AI, machine learning, and predictive analytics so they work together across your platform, rather than running as separate, disconnected tools.
Fairness
We keep your solutions fair and inclusive, checking datasets for bias and designing for equitable outcomes, so results hold up for everyone they affect.
Accountability
We stay accountable through clear documentation and third-party oversight, so every stage of development follows responsible AI policies you can audit.
Transparency
We document data origins, processing, and model design in plain terms, so you can see how each decision is made and explain it with confidence.
Reliability & Security
We protect your data with anonymization and strong security controls, and test models for reliability, so outputs stay consistent and trustworthy.
Decode AI: Understanding and Scoping
Before building, we work out where generative AI will pay off by mapping journeys, defining needs, surfacing risks, and choosing the right models for scope.
Decode is about understanding and scoping before you build. In the Demystify phase, we identify what makes a GenAI integration effective, map generative AI journeys, define needs, and surface frictions and hypotheses, then assess your business and IT areas and identify best-fit generative AI models. In the Discover phase, we ideate with your experts around a clear enterprise value proposition and define the generative AI use cases worth pursuing.
Encode AI: Building and Delivering
With scope agreed, we build and deliver, readying your data, designing and developing the solution, then deploying and running it with models monitored via LLMOps.
Encode is where scoped ideas become working solutions. In the Engage phase, we build to foster innovation, working with your experts on new design blueprints, evaluating your data pipeline and preparing it for GenAI. In the Execute phase, we balance creation, validation, and refinement, moving quickly through solution design, development, deployment, and training. Once live, LLMOps keeps large language models monitored and improving in production.
Find where GenAI can open new revenue, not just cut costs. We identify high-value use cases across sales and marketing, customer experience, and supply chain, and build them—for example, personalized product recommendations that tailor descriptions and offers to each audience and boost conversion.
Support the people on the front line, whether they serve customers or work in the field. Tensai® voice bots handle natural customer conversations, our contact center co-pilot transcribes and summarizes calls in real time across Amazon Connect, Genesys, and ServiceNow, and multimodal connect gives field engineers context-aware visual help.
For work where accuracy and compliance are non-negotiable, we build domain-specific co-pilots. The Tensai® clinical co-pilot synthesizes literature from trusted sources like DrugBank and DailyMed, the Tensai® legal co-pilot detects risk and automates redlining, and a private LLM keeps sensitive legal data under your control.
Give your teams answers they can trust. We generate accurate knowledge articles, stand up an enterprise chatbot that spans business information across verticals, and use Agentverse™ agents to make document interaction agentic, so people can access deep domain knowledge in a few words instead of long searches.
Speed up the whole software lifecycle with RapidX®. It handles optimization and refactoring, modernizes legacy applications, and generates documentation, so your engineers spend less time on repetitive work and more on building, and aging systems become easier to maintain and extend.
Scale secure generative AI without opening new risks. We let your generative AI applications use company data without exposing it, and build the guardrails around it: security, risk, and compliance controls, alignment with AI regulations, and model scoring to check quality and bias, so responsible AI is built in, not bolted on.
Hexaware turns generative AI from experimentation into secure, scalable, production-ready enterprise solutions.
Siddharth Dhar
Leader
Vaibhav Bhatnagar
Leader
Mehdi Goodarzi
Leader
Satyajith M
Leader
Enterprises move generative AI from pilot to production by prioritizing use cases by business value and feasibility, grounding models in their own governed data, and adding guardrails, human review, and monitoring before they scale. Hexaware keeps generative AI projects moving on secure, domain-specific models and reusable components, so one proven use case expands into many without rebuilding each time.
Enterprises build secure, compliant generative AI by designing controls in from the start rather than adding them later: private data handling with access controls and anonymization, transparent documentation of data origins and model design, and development aligned to regulatory and responsible AI policies. Hexaware bakes these into every build, so GenAI stands up to both customers and auditors.
Generative artificial intelligence takes on repetitive, knowledge-heavy work across business functions, including knowledge management and enterprise chatbots, customer service and contact centers, software development and testing, and document-heavy legal, clinical, and operations tasks. Teams apply these generative AI technologies to cut manual effort and speed decisions, freeing people for higher-value work.
Yes. Enterprises can deploy GenAI on proprietary data securely by using a private, domain-specific LLM that keeps full control of the data, so sensitive information stays in your environment and never trains a public model. Hexaware grounds the model in your governed data with access controls, anonymization, and audit trails, delivering accurate answers without exposing anything confidential.
Companies govern and monitor generative AI at enterprise scale by applying controls across the full lifecycle: role-based access and human-in-the-loop review during use, observability and audit trails to monitor live outputs, and model scoring for quality and bias. Hexaware builds AI regulations and internal policies into development, so oversight scales with your GenAI footprint.
Enterprises should choose a generative AI implementation partner that can go from strategy to secure production, not just run pilots. Key criteria are proven GenAI consulting and engineering, a responsible-AI foundation, proprietary accelerators, a generative AI center of excellence, and real industry experience. The best partners prioritize use cases by value, protect your data, and stay accountable across build, deploy, and run.
Leverage the Benefits of GenAI