In its Integrated Annual Report for FY 2025, Tata Consultancy Services (TCS) outlines a strategic shift toward embedding Artificial Intelligence (AI) and Generative AI (GenAI) into the core of enterprise operations.
As global challenges persist, TCS sees AI not just as a tool but as a foundational layer shaping the future of digital business. Described as a “civilizational shift,” GenAI is expected to impact all industries and functions. TCS has begun integrating AI into its services portfolio to support clients in building resilient, adaptive, and future-ready businesses.
“AI was at the core of transforming sales processes, including optimizing sales order process, and driving insights across the order cycle through proactive monitoring,” the report mentioned.
Structured Approach to AI and GenAI Adoption
TCS is pursuing a four-part strategy to expand AI capabilities:
- Creating a pool of AI agents to assist human teams across business functions.
- Implementing a Human+AI model where automation and decision-making are distributed between AI systems and people.
- Investing in dedicated AI infrastructure, including data centers and cloud platforms that support secure, scalable deployments.
- Collaborating with hardware vendors, solution providers, and startups to expand the ecosystem for innovation.
These initiatives aim to support a long-term transition to autonomous enterprise operations—where software development, supply chain decisions, and IT operations can be guided or executed by intelligent systems.
Enterprise-Scale Implementations Already Underway
TCS has moved beyond pilots and proofs of concept to deploy GenAI in full-scale projects. A few examples from the report include:
- In pharmaceuticals, a GenAI-based drug design platform generated 1,300 new molecular structures and identified 12 viable candidates for testing reducing research time from 12 months to just eight weeks.
- In logistics, AI-generated address-level risk scores help reroute parcels to prevent theft and loss, potentially saving millions in operational costs.
- In aviation, TCS helped a global airline create a unified data platform that enables business users to interact with data using natural language queries, thereby accelerating decision-making and reducing reliance on technical teams.
Focus on Scalability and Responsible Deployment
To support growing demand, TCS launched WisdomNext, a GenAI aggregation platform that allows clients to test and deploy various large language models (LLMs) from different providers through a single interface. This platform supports secure experimentation, helping organizations identify the most suitable models for their specific business needs.
TCS has also established AI Centers of Excellence and Labs for experimentation, along with deploying over 150 domain-specific AI agents in real-world use cases across various industries, including banking, telecommunications, and retail.
Preparing for Long-Term Impact
TCS recognizes that widespread adoption of AI requires foundational changes, including workforce readiness, secure infrastructure, and effective data governance. The company’s strategy includes training its workforce in GenAI tools, improving software delivery processes through automation, and aligning with clients to scale AI with measurable outcomes.
Overall, TCS’s efforts suggest that AI and GenAI will play a central role in shaping the next phase of enterprise transformation, requiring a clear strategy, investment in infrastructure, and a balanced approach to human-machine collaboration.