India's Global Systems Integrators Build Next Wave of Enterprise Agents With NVIDIA AI, Transforming Back Office and Customer Support

Agentic AI is reshaping India's tech industry, delivering leaps in services worldwide.

Tapping into NVIDIA AI Enterprise software and NVIDIA Nemotron models, India's technology leaders are accelerating productivity and efficiency across industries - from call centers to telecommunications and healthcare.

Infosys, Persistent, Tech Mahindra and Wipro are leading the way for business transformation, improving back-office productivity and customer services with integrated agentic AI platforms built with NVIDIA AI Enterprise.

At this year's India AI Impact Summit, the state of the art for next-generation business services driven by agentic and generative AI was on full display.

India's tech industry is on track to reach $500 billion in revenue by 2030, up from about $250 billion in 2023, according to IBEF, citing momentum in AI from 38,000 GPUs secured in September.

Wipro WEGA Platform Boosting Efficiency for Call Centers With NVIDIA AI Enterprise For health insurance plans in government regulated markets, customer experience is important - especially during peak enrollment cycles, when deadlines loom and subscribers need 24/7 support to assess options and optimize enrollment decisions for their families. Traditional contact center business models, built around seasonal hiring and lengthy training, simply can't keep pace. What's needed is a new operating model that improves customer experience while containing the growing cost of service.

Wipro's AI agent-assisted solution, powered by the WEGA platform and NVIDIA AI Enterprise software, offers a glimpse of that future. Deployed for a major U.S. healthcare insurance provider, the system is already reshaping member experiences by enabling service representatives to handle more complex requests, accelerate resolution times, deliver more personalized support and improve operational efficiencies.

AI agents help meet the expectations customers bring to their health plans: immediate access to accurate information, conversational self service, frictionless enrollment and consistent guidance across channels. Behind the scenes, payers face rising call volumes, fragmented data and heavy administrative workloads. AI agents bridge that gap by scaling instantly, operating around the clock and supporting human representatives with real time intelligence.

The results have been striking: 42% of inbound calls are now handled by AI agents and near instant responsiveness across 900 concurrent calls and 164 requests per second - all with sub 200 millisecond latency.

Members benefit from natural, conversational self service. Human agents receive real time prompts and knowledge retrieval. A centralized data hub surfaces personalized insights, while automated digitization removes manual work from downstream processes.

Using production grade, horizontally scalable NVIDIA NIM microservices and NVIDIA NeMo Guardrails, part of NVIDIA AI Enterprise, the solution includes the performance, governance and safety required in regulated healthcare environments.

Its impact is already extending beyond healthcare, with similar deployments underway in financial services. Anywhere accuracy, compliance and scale matter, AI agents are becoming a transformative force.

Tech Mahindra Deploying Large Telco Model to Power Autonomous Network Operations Using NVIDIA NIM Tech Mahindra is accelerating the shift toward AI-assisted network operations with a new platform built in collaboration with NVIDIA. At the center is a large telco model (LTM) that generates prioritized, data driven recommendations to help field technicians rank each fix by its historical success rate across the network. The result is faster, more accurate resolutions - often in a single visit - and a clear path toward level 4 plus operational maturity.

A large telecommunications services provider is adopting the same LTM foundation as part of its operations roadmap, targeting improvements in service layer issue resolution, customer experience and back office efficiency through higher quality tickets and fewer escalations.

The platform uses NVIDIA Nemotron embedding models for semantic search across telemetry and a Nemotron reranking model to sharpen decision relevance. These models are deployed with NVIDIA NIM microservices for rapid, reliable accelerated AI inference. NVIDIA NeMo Agent Toolkit orchestrates agent workflows across network domains, enabling true agentic operations at scale.

By embracing autonomous network operations, Tech Mahindra shows how AI can transform a global telecom industry generating more than $1.5 trillion in annual revenue - where even small gains in uptime and efficiency deliver outsized economic impact.

Infosys Builds an Enterprise-Grade Coding Small Language Model With NVIDIA AI Enterprise Infosys developed a new small language model for coding, built using the NVIDIA NeMo framework that's part of NVIDIA AI Enterprise, and integrated within Infosys Topaz Fabric. The model accelerates software delivery with frontier grade performance while remaining lightweight, and it can be deployed across on-premises enterprise data centers, cloud environments and even standard desktops.

The 2.5 billion parameter model supports agent development, code generation, refactoring and end to end software engineering workflows. It's trained on a curated blend of high quality code, synthetic data, mathematical reasoning and natural language inputs - an approach that enables it to match frontier model performance on benchmarks such as MBPP, MBPP+ and BFCL.

Infosys also prioritized safety and trust. The model incorporates safety aligned training and responsible AI practices that reduce harmful outputs while preserving fluency. Its secure coding capabilities are validated through industry benchmarks including Stanford AIR Bench and Meta's CyberSecEval, giving ente

LINK:	https://blogs.nvidia.com/blog/india-enterprise-ai-agents/...
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