Key takeaways
- Cognizant plans to train 1,000 context engineers to enhance enterprise AI capabilities.
- The initiative is a partnership with Workfabric AI, utilizing the ContextFabric platform.
- Context engineering will enable AI agents to align with organizational goals and workflows.
- This investment marks a significant shift towards scalable AI adoption in enterprises.
- Cognizant aims to move beyond experimentation to practical, enterprise-level AI solutions.
Cognizant has announced that it would deploy 1,000 context engineers over the next year to industrialise agentic AI across enterprises.
According to an official release, the company claimed that the move marks a “pivotal investment” in the emerging discipline of context engineering.
As part of this initiative, Cognizant said it is partnering with Workfabric AI, the company building the context engine for enterprise AI.
Cognizant’s context engineers will be powered by Workfabric AI’s ContextFabric platform, the statement said, adding that the platform transforms the organisational DNA of enterprises, how their teams work, including their workflows, data, rules, and processes, into actionable context for AI agents.
Context engineering is essential to enabling AI agents to reason, act, and adapt in alignment with enterprise goals.
By serving as a continuous runtime grounding layer, capturing organisational context and keeping agents aligned with workflows and real-world execution patterns, ContextFabric industrialises context engineering at scale, the company explained.
"Every technology shift creates a services shift," Ravi Kumar S, CEO of Cognizant, said in the statement.
"In the microprocessor era, the lever was code. In the cloud era, it was workload migration. In the LLM era, the lever is context…”
Kumar added that by training 1,000 context engineers and equipping them with Workfabric AI’s ContextFabric platform, the company is helping its clients move beyond experimentation toward scalable AI adoption.
The company defines context as a company’s pool of knowledge, including its operating model, roles, goals, metrics, processes, policies and governance systems.
It explained further that context reveals how people work together using tools for execution, leveraging insights from data for decisions, navigating constraints to address anticipated and unforeseen challenges, while staying compliant to deliver targeted outcomes.
Calling this a bold move from Cognizant, Rohan N Murty, CEO of Workfabric AI, said, “ContextFabric will be the force multiplier that turns this vision into reality, enabling engineers to deliver trusted, enterprise-grade outcomes.”
“In enterprise deployments, he said, the platform has demonstrated improvements such as up to 3X higher accuracy, 70% fewer hallucinations, faster deployment cycles, and higher ROI, depending on use case and implementation.”
