Bengaluru: Cognizant's partnership with Rohan Murty-led AI startup Workfabric AI has already generated an incremental sales pipeline of about $200 million, with the company expecting that figure to reach $1 billion by the end of the year.
AI Forum Announcement
Speaking at Cognizant's AI Forum, CEO Ravi Kumar said the opportunity emerged from analyzing client conversations and unlocking 'tribal knowledge' embedded across the organization and turning it into actionable business insights.
Platform Capabilities
The context-engineering platform developed by Workfabric taps into Cognizant's vast repository of organizational knowledge spanning emails, meetings, chats, documents and enterprise systems. The platform helps employees surface expertise, identify business opportunities and create customer-facing insights.
"We roughly have $200 million of pipeline generated incrementally through this effort. By the end of the year, we think this is going to be a $1 billion pipeline just by listening to conversations with our clients and extracting tribal knowledge to create insights," Kumar said.
Internal Deployment
Beyond sales, Cognizant is deploying the platform internally to improve talent allocation. Instead of relying solely on resumes and skills databases, managers can query the system to identify employees working on similar projects and find the best candidates for new assignments.
Strategic Vision
Kumar said Cognizant has spent the past two years helping clients achieve "more for less", enabling them to clear technology backlogs at lower cost and greater speed. The effort has also driven consolidation-led engagements, with the company signing multiple deals worth more than $100 million each quarter while boosting software spending.
He argued that technology consumption historically rises when technology becomes cheaper and easier to deploy. Even if that elasticity takes time to materialize, Kumar said nearly $5 trillion in enterprise operational spending could be unlocked as organizations increasingly blend human workers, software systems and digital labor into a unified operating model.
