Cognizant to Deploy 1,000 Context Engineers, Powered by 颁辞苍迟别虫迟贵补产谤颈肠鈩�, to Industrialize Agentic AI
Cognizant (NASDAQ: CTSH) has announced a major initiative to deploy 1,000 context engineers over the next year, partnering with Workfabric AI to industrialize agentic AI solutions across enterprises. The initiative leverages Workfabric AI's 颁辞苍迟别虫迟贵补产谤颈肠鈩� platform, which transforms organizational DNA into actionable context for AI agents.
The platform has demonstrated significant improvements in enterprise deployments, including up to 3X higher accuracy, 70% fewer hallucinations, faster deployment cycles, and higher ROI. Context engineers will capture enterprise knowledge, manage context lifecycles, build integration pipelines, and create industry-specific solutions while ensuring governance, privacy, and security.
Cognizant (NASDAQ: CTSH) ha annunciato un'iniziativa importante per impiegare 1.000 context engineer nel prossimo anno, in collaborazione con Workfabric AI per industrializzare soluzioni di AI agentica nelle aziende. L'iniziativa si basa sulla piattaforma 颁辞苍迟别虫迟贵补产谤颈肠鈩� di Workfabric AI, che trasforma il DNA organizzativo in contesto utilizzabile dagli agenti AI.
La piattaforma ha mostrato miglioramenti significativi nelle implementazioni aziendali, con fino a 3 volte maggiore accuratezza, 70% di allucinazioni in meno, cicli di implementazione pi霉 rapidi e un ROI superiore. I context engineer cattureranno la conoscenza aziendale, gestiranno il ciclo di vita del contesto, costruiranno pipeline di integrazione e svilupperanno soluzioni specifiche per settore, garantendo governance, privacy e sicurezza.
Cognizant (NASDAQ: CTSH) ha anunciado una iniciativa importante para incorporar 1.000 context engineers en el pr贸ximo a帽o, en asociaci贸n con Workfabric AI para industrializar soluciones de IA agentiva en las empresas. La iniciativa aprovecha la plataforma 颁辞苍迟别虫迟贵补产谤颈肠鈩� de Workfabric AI, que convierte el ADN organizacional en contexto accionable para agentes de IA.
La plataforma ha demostrado mejoras significativas en despliegues empresariales, incluyendo hasta 3 veces mayor precisi贸n, 70% menos alucinaciones, ciclos de despliegue m谩s r谩pidos y mayor ROI. Los context engineers capturar谩n el conocimiento empresarial, gestionar谩n el ciclo de vida del contexto, crear谩n pipelines de integraci贸n y desarrollar谩n soluciones sectoriales, garantizando gobernanza, privacidad y seguridad.
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Cognizant (NASDAQ: CTSH) a annonc茅 une initiative majeure pour d茅ployer 1 000 context engineers au cours de l'ann茅e 脿 venir, en partenariat avec Workfabric AI afin d'industrialiser des solutions d'IA agentique au sein des entreprises. L'initiative s'appuie sur la plateforme 颁辞苍迟别虫迟贵补产谤颈肠鈩� de Workfabric AI, qui transforme l'ADN organisationnel en contexte exploitable pour les agents IA.
La plateforme a d茅montr茅 des am茅liorations significatives dans les d茅ploiements en entreprise, notamment jusqu'脿 3 fois plus de pr茅cision, 70 % de hallucinations en moins, des cycles de d茅ploiement plus rapides et un ROI sup茅rieur. Les context engineers captureront le savoir de l'entreprise, g茅reront le cycle de vie du contexte, construiront des pipelines d'int茅gration et cr茅eront des solutions sectorielles tout en assurant la gouvernance, la confidentialit茅 et la s茅curit茅.
Cognizant (NASDAQ: CTSH) hat eine bedeutende Initiative angek眉ndigt, innerhalb des n盲chsten Jahres 1.000 Context Engineers einzusetzen und arbeitet dazu mit Workfabric AI zusammen, um agentenbasierte KI-L枚sungen in Unternehmen zu industrialisieren. Die Initiative nutzt die 颁辞苍迟别虫迟贵补产谤颈肠鈩�-Plattform von Workfabric AI, die die DNA von Organisationen in f眉r KI-Agenten nutzbaren Kontext umwandelt.
Die Plattform hat in Unternehmensanwendungen deutliche Verbesserungen gezeigt, darunter bis zu 3-mal h枚here Genauigkeit, 70 % weniger Halluzinationen, schnellere Einsatzzyklen und h枚heren ROI. Context Engineers werden Unternehmenswissen erfassen, Kontext-Lebenszyklen verwalten, Integrationspipelines aufbauen und branchenspezifische L枚sungen entwickeln und dabei Governance, Datenschutz und Sicherheit gew盲hrleisten.
- Strategic partnership with Workfabric AI to enhance AI capabilities
- Platform demonstrates up to 3X higher accuracy and 70% fewer hallucinations
- Investment in 1,000 new context engineers shows significant commitment to AI development
- Solution promises improved ROI and faster deployment cycles for enterprise clients
- Significant resource investment required in training and deploying 1,000 engineers
- Complex implementation process requiring extensive organizational transformation
- Potential challenges in scaling context engineering across diverse enterprise environments
Insights
Cognizant's strategic investment in 1,000 context engineers represents a significant pivot toward monetizing the emerging AI agent ecosystem.
Cognizant's announcement represents a major strategic pivot toward capitalizing on the next wave of enterprise AI adoption. By committing to deploy 1,000 context engineers in partnership with Workfabric AI, Cognizant is positioning itself at the forefront of the emerging discipline of context engineering - essentially creating a new service category in the professional services market.
This initiative addresses a critical gap in the enterprise AI adoption journey. While many organizations have experimented with large language models and basic AI implementations, the ability to scale these solutions across complex enterprise environments has been limited by context challenges. AI agents require deep understanding of organizational processes, rules, and knowledge to deliver reliable outcomes.
The strategic value lies in Cognizant's recognition that context is the bottleneck for enterprise AI adoption. By focusing on context engineering as a discipline, Cognizant is creating a defensible market position that leverages their existing strengths in domain expertise and system integration while moving up the value chain from traditional IT services.
The partnership with Workfabric AI provides the technological foundation through their ContextFabric platform, which transforms organizational knowledge into actionable context for AI agents. This platform approach suggests Cognizant is building scalable capabilities rather than one-off consulting solutions.
From a competitive standpoint, this positions Cognizant ahead of many traditional IT services firms that remain focused on implementation rather than the emerging agentic AI paradigm. The company is essentially building a specialized workforce for a market need that is just materializing, creating potential first-mover advantages in capturing enterprise AI transformation work.
Cognizant and Workfabric AI join forces to create a new discipline that enables high-impact, enterprise-grade agentic AI solutions for clients across industries
As part of this initiative, Cognizant is partnering with Workfabric AI, the company building the context engine for enterprise AI. Cognizant's 1,000 context engineers will be powered by Workfabric AI's 颁辞苍迟别虫迟贵补产谤颈肠鈩� platform, which transforms the organizational DNA of enterprises 鈥� how their teams work, including their workflows, data, rules, and processes 鈥� into actionable context for AI agents. By serving as a continuous runtime grounding layer, capturing organizational context and keeping agents aligned with workflows and real-world execution patterns, ContextFabric industrializes context engineering at scale.
"Every technology shift creates a services shift," said Ravi Kumar S, CEO, Cognizant. "In the microprocessor era, the lever was code. In the cloud era, it was workload migration. In the LLM era, the lever is context. Cognizant's deep expertise in engineering, operations, and industry domains positions us to create unique value. By training 1,000 context engineers and equipping them with Workfabric AI's ContextFabric platform, we are helping our clients move beyond experimentation toward scalable AI adoption."
Cognizant defines context as a company's pool of knowledge, including its operating model, roles, goals, metrics, processes, policies and governance systems. 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. Most critically, context embodies a company's collective wisdom from decisions 鈥� what worked, why it worked, and how feedback loops drive continuous learning, behavioral alignment and adaptive change.
This collection of intelligence, which manifests itself in content, data, applications, workflows and other systems is the fuel for AI Agents to be precise, effective and to dynamically optimize both workflows and human-AI collaboration. The science and art of bringing the right context, at the right time to agentic systems is the emerging discipline of context engineering. Context engineering can support agentic AI making accurate decisions, aligning with human goals, operating within policy frameworks and adapting to real-time challenges. Context engineering is designed to help AI systems represent enterprise knowledge, align with human intent and reflect company work-culture. With context engineering, agents can be built to deliver outcomes that foster trust, uphold enterprise standards, and support strategic business goals.
Context engineering skills combine and build on domain, functional, and technical expertise to deliver relevant context to AI agents. These skills will be honed across Cognizant's service lines through targeted training and enablement. Integrated with Cognizant's Agentic Development Lifecycle (ADLC) and strategic enterprise-agentification framework, context engineering will be scaled as a foundational capability. This approach helps ensure context is crafted & managed holistically, enabling AI Agents to operate effectively, securely, and at scale 鈥� accelerating time-to-value and enhancing solution quality across industries.
"Cognizant's commitment to this discipline, starting with 1,000 context engineers, is a bold signal of where the services industry is headed," said Rohan N. Murty, CEO of Workfabric AI. "ContextFabric will be the force multiplier that turns this vision into reality, enabling engineers to deliver trusted, enterprise-grade outcomes. In enterprise deployments, the platform has demonstrated improvements such as up to 3X higher accuracy,
As Cognizant's context engineers engage with clients through the ADLC phases, supported by ContextFabric, they will:
- Capture enterprise knowledge, including processes, rules, and execution patterns
- Manage the full context lifecycle helping ensure governance, privacy, and security
- Build integration pipelines for retrieval, synthesis, storage & distribution of context
- Package reusable context assets ("context packs") for scalable deployment
- Design context blueprints and templates for industry-specific听agentic use cases
- Create solutions to bootstrap context-sharing ecosystems
Additionally, Cognizant's context engineers can deliver new value for clients by embedding organizational knowledge and governance into AI systems that help them move beyond AI pilots to enterprise-scale impact. The impact of this work can bring the following benefits:
- Risk Reduction: Agents operate in alignment with client-defined standards and applicable regulations
- Higher听ROI: Trusted, accurate agents increasing adoption
- Efficiency Gains: Fewer errors and rework
- Cost Optimization: Streamlined architectures
- Accelerated Time-to-Value: Reusable assets and libraries
- Differentiation: Context as embodiment of company's strategy to execution model
Learn more about Cognizant's strategic investment in .
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life.
See how at听www.cognizant.com听or @cognizant.
For more information, contact:
Name: Gabrielle Gugliocciello 贰尘补颈濒:听[email protected] | Name: Sarah Douglas 贰尘补颈濒:听[email protected]听 | Name: Vipin Nair听 贰尘补颈濒:听[email protected]听 |
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