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  • Agentic AI

Cognizant Deploys 1,000 Context Engineers for Agentic AI


Cognizant Deploys 1,000 Context Engineers for Agentic AI
  • Source: Source Logo
  • |
  • September 2, 2025

Cognizant announced on August 29, 2025, a strategic initiative to deploy 1,000 context engineers powered by Workfabric AI’s ContextFabric™ platform, aiming to industrialize agentic AI across enterprises. This move establishes context engineering as a critical discipline, enabling AI agents to align with enterprise goals through scalable, context-driven solutions.

Quick Intel

  • Cognizant to deploy 1,000 context engineers by August 2026.
  • Partners with Workfabric AI to leverage ContextFabric™ for enterprise AI.
  • ContextFabric™ enhances AI accuracy by up to 3X, reduces hallucinations by 70%.
  • Context engineers capture enterprise knowledge, ensure governance, and build reusable assets.
  • Benefits include risk reduction, higher ROI, and faster deployment cycles.
  • Aligns with Cognizant’s $1 billion AI investment strategy.

Pioneering Context Engineering

Cognizant’s initiative introduces context engineering as a new discipline to industrialize agentic AI, enabling AI agents to reason, act, and adapt in alignment with enterprise goals. “In the LLM era, the lever is context,” said Ravi Kumar S, CEO of Cognizant. The partnership with Workfabric AI utilizes the ContextFabric™ platform, which transforms organizational workflows, data, rules, and processes into actionable context, serving as a continuous runtime grounding layer for AI agents. This approach addresses the projected 33% adoption of agentic AI in enterprise software by 2028, per Gartner.

The Role of ContextFabric™

Workfabric AI’s ContextFabric™ platform is central to this initiative, offering a scalable solution that captures enterprise knowledge and aligns AI agents with real-world execution patterns. “ContextFabric will be the force multiplier that turns this vision into reality,” said Rohan N. Murty, CEO of Workfabric AI. The platform has demonstrated up to 3X higher accuracy, 70% fewer hallucinations, faster deployment cycles, and improved ROI in enterprise deployments, making it a game-changer for AI scalability.

Context Engineering: A New Paradigm

Cognizant defines context as an organization’s collective knowledge, encompassing operating models, roles, goals, metrics, processes, and governance systems. Context engineering ensures AI agents deliver precise, compliant, and effective outcomes by integrating this knowledge into AI systems. Context engineers will:

  • Capture enterprise processes and execution patterns.
  • Manage context lifecycles with governance and security.
  • Build integration pipelines for context retrieval and distribution.
  • Create reusable “context packs” and industry-specific blueprints.

This discipline, integrated with Cognizant’s Agentic Development Lifecycle (ADLC), enables secure, scalable AI adoption, reducing risks and enhancing solution quality.

Strategic Impact and Benefits

The deployment of 1,000 context engineers positions Cognizant to move clients from AI pilots to enterprise-scale impact, offering:

  • Risk Reduction: Agents align with regulations and standards.
  • Higher ROI: Increased adoption through trusted AI agents.
  • Efficiency Gains: Fewer errors and streamlined processes.
  • Cost Optimization: Simplified architectures and reusable assets.
  • Accelerated Deployment: Faster time-to-value with context libraries.

With the global AI services market expected to grow at a 30% CAGR through 2030, Cognizant’s investment in context engineering, backed by a $1 billion AI commitment, strengthens its leadership in enterprise AI transformation.

About Cognizant

Cognizant (Nasdaq-100: CTSH) engineers modern businesses, helping clients modernize technology, reimagine processes, and transform experiences to stay competitive in a fast-changing world.

  • CognizantWorkfabric AIContext EngineeringAgentic AIContext Fabric
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