IT services major Cognizant has built an additional sales pipeline worth about $200 million by using artificial intelligence to analyse information generated through employee interactions across the company, Moneycontrol reported.
Speaking at the company’s AI Forum, Chief Executive Ravi Kumar said the initiative draws insights from emails, meetings, chats and other enterprise systems to uncover business opportunities that may otherwise remain hidden. He added that Cognizant expects the incremental pipeline generated through the effort to reach $1 billion by the end of the year.
The initiative forms part of Cognizant’s broader strategy around what Kumar described as “context engineering”, a framework aimed at organising enterprise knowledge and business context for AI systems.
According to the company, the technology brings together signals from multiple functions including sales, delivery, support and finance to create digital representations of customer accounts. The platform has been developed in collaboration with Workfabric, a startup co-founded by Rohan Murty.
Cognizant said the system analyses customer-related interactions and identifies potential business opportunities for its sales teams. During a demonstration, the platform detected concerns around engineering costs and quality assurance spending at a client organisation and suggested a quality assurance optimisation offering as a possible solution.
The company also said the technology can help identify emerging client issues before they become larger problems. By analysing information generated by teams working on customer accounts globally, the platform can flag project risks and recommend responses, relevant experts and customer communication strategies.
Beyond customer-facing applications, Cognizant has started using the platform internally to support workforce deployment. Kumar said the company can identify employees with suitable project experience based on work they have previously performed rather than relying only on resumes or skills databases.
The development comes as IT services companies increasingly explore ways to use generative AI not only to improve productivity but also to create new business opportunities across enterprise operations.