Agentic AI has generated no shortage of vendor surveys promising transformation, but India's largest IT services companies have also put out specific, named products in 2026 — worth examining on their own terms rather than through another round of market forecasts.
In August 2026, TCS launched TCS ADD AgentHub, a platform applying agentic AI specifically to drug development workflows for life sciences clients. Built on TCS's broader ADD agentic AI architecture, the platform is designed around what TCS calls a "Human + AI Operating Model" — AI agents handle multi-step tasks inside clinical workflows while humans retain oversight for governance and final decisions, rather than being removed from the loop entirely. TCS's own projections for the platform include up to 40% efficiency gains in clinical data management, up to 30% reduction in clinical study build effort, and up to 30% cost savings in end-to-end safety case processing. Those are company estimates, not independently verified figures, but the specificity of the target workflows — clinical data management, study builds, safety case processing — is a useful signal that this is aimed at defined, document-heavy processes rather than a general-purpose assistant.
Infosys took a different route. At the India AI Impact Summit in New Delhi in February 2026, the company announced a partnership with Anthropic to integrate Claude models, including Claude Code, into Infosys Topaz, its existing AI platform. The stated goal is automating multi-step workflows in sectors where governance and compliance requirements have historically slowed AI adoption. A dedicated Anthropic Centre of Excellence is launching first within Infosys's telecom practice, with plans to expand into financial services, manufacturing, and software development. This builds on Infosys's earlier Agentic AI Foundry, launched in 2025 as a platform for building and deploying agents within Topaz — so the Anthropic tie-up reads as an extension of an existing bet rather than a new direction.
What's notable is how differently the two companies are approaching the same technology shift. TCS has built a purpose-specific tool for one regulated, high-value vertical — life sciences — with measurable efficiency claims attached. Infosys is making a platform-level bet across multiple regulated industries by partnering with a foundation model provider rather than building everything in-house. Neither looks like the kind of broad, consumer-facing "AI agent" that gets the most headlines; both are aimed squarely at enterprise clients with compliance-heavy workflows, where the selling point is a defined, auditable task getting done faster, not an autonomous agent making open-ended decisions.
For employees inside these firms, or those targeting them, the pattern is consistent with other sector data: demand is shifting toward people who can design, govern, and audit agentic workflows in regulated domains, not just people who can build a chatbot. Experience with compliance-heavy sectors — life sciences, financial services, telecom — paired with AI tooling familiarity looks like a more durable combination than generic "AI skills" alone.
More detail is available on the Infosys-Anthropic partnership and on TCS's AgentHub launch.