TCS Launches AgentHub to Put Agentic AI to Work in Drug Development

TCS said the approach is intended to address challenges around governance, trust and scalability that have limited the adoption of AI in highly regulated pharmaceutical environments.

TCS Launches AgentHub to Put Agentic AI to Work in Drug Development

Tata Consultancy Services (TCS) has launched TCS ADD™ AgentHub, an enterprise AI platform to help pharmaceutical companies deploy agentic AI across drug development and pharmacovigilance.

The platform is built around a role-based framework that allows pharmaceutical companies to create, deploy and manage AI agents across clinical and drug-safety workflows.

TCS said the approach is intended to address challenges around governance, trust and scalability that have limited the adoption of AI in highly regulated pharmaceutical environments.

The pharmaceutical industry is dealing with growing volumes of clinical and safety data, fragmented technology systems and increasingly complex regulatory requirements across the research and development lifecycle. TCS said AgentHub provides a structured environment in which AI agents operate with defined roles, human oversight and built-in auditability.

The platform is based on the TCS ADD™ agentic AI architecture and supports a Human + AI Operating Model, where AI agents are embedded into enterprise workflows while humans retain responsibility for governance and decision-making.

According to TCS, solutions powered by AgentHub have delivered up to 40% efficiency gains in clinical data management, while metadata-driven automation can reduce clinical study build efforts by up to 30%.

The company also claims up to 30% cost savings in end-to-end safety case processing and as much as 50% reduction in quality-control effort through AI-powered safety agents.

“TCS ADD™ AgentHub, is a role-based, enterprise-ready, and trusted AI platform that will enable our customers to accelerate drug development using agentic AI at scale. It enables a shift from reactive to proactive, scalable, and audit-ready operations amidst an ever-changing regulatory environment. TCS’ strategy is to move towards autonomous enterprise functions where AI agentic workforce operates alongside humans driving innovation in drug development and improving patient safety,” Debashis Ghosh, President, Lifesciences and Healthcare, TCS, said.

AgentHub supports AI workers across several pharmaceutical workflows, including ICSR intake, data entry, coding, review and literature analysis. It also supports study design, protocol digitisation, clinical data review, SDTM transformation and medical monitoring assistance.

TCS said the platform includes an evolving catalogue of AI agents that can be deployed progressively based on an organisation’s requirements and existing technology landscape.

The company is positioning the platform as a way for pharmaceutical organisations to automate repetitive processes while allowing scientific and clinical teams to focus on higher-value activities.