Major enterprise AI contracts involve more than selecting a cloud platform. Buyers also have to consider the engineering resources and consulting expertise available to support their investments.
Cognizant said it committed more than 18,000 engineers to a new Gemini Frontier Capability Group under its expanded partnership with Google Cloud, announced Oct. 19. Its specialists will help enterprise customers bring AI agents into production.
For smaller systems integrators and managed service providers, the expansion raises questions about how to compete on industry expertise and secure ongoing support work after deployment.
AI services cover industry workflows and legacy systems
Engineering priorities range from modernizing older applications to improving software development with AI. Teams will also focus on automating complex business processes and strengthening cybersecurity defenses as organizations introduce autonomous agents.
Planned enterprise offerings span Cognizant’s Catalog Support Agent for retailers and a Healthcare Agentic Marketplace coordinated through its Neuro San platform. Neuro San’s open-source framework enables specialized AI agents to delegate tasks, communicate with one another, and connect with external tools.
Manufacturing customers are another target, with proposed multi-agent order-to-cash workflows. Coordinated agents would manage activities across business systems, from receiving customer orders through payment collection.
Deployment model combines engineers with security controls
The group plans to use Gemini to support enterprise AI agents and deploy a standardized architecture based on Model Context Protocol (MCP) for connecting them with business systems. The planned architecture will incorporate Google Cloud’s Model Armor, which screens incoming prompts and generated responses for risks such as prompt injection and sensitive data exposure.
Cognizant will build on its existing Frontier Certified Engineer delivery model, which places specialists alongside Google Cloud teams inside customer environments. Engineers examine existing workflows, evaluate agent behavior, and help implement applications for production use. The approach provides a way to adapt AI systems to individual customer processes before deployment.
Workforce preparation also supports the expanded initiative. Cognizant said more than 55,000 employees completed Build with Gemini, developing agents and applications and earning Gemini skills credentials. In July, the company said it aimed to deploy Gemini Enterprise to 100,000 associates in 2026, with plans to expand to 200,000.
Smaller partners face competition and new service opportunities
Cognizant’s dedicated workforce could intensify competition for major enterprise AI contracts. Smaller systems integrators should concentrate on industries where they have proven AI integration experience, then support their bids with customer references and measurable results. Competing with a global consultancy on engineering capacity alone is unlikely to be their strongest approach.
MSPs, MSSPs, and VARs could approach the expansion differently, depending on their existing customer relationships and technical capabilities.
- MSPs. Existing enterprise accounts may create opportunities for managed AI services after deployment, including monitoring agent performance and maintaining software connections. Providers should price recurring work separately from implementation and define escalation procedures when automated workflows fail.
- MSSPs. Customers may need ongoing AI agent security and governance as autonomous systems gain access to sensitive business information. Security providers should verify permissions, retain activity logs and establish which actions require human approval. Response procedures must also cover disabling compromised agents.
- VARs and specialist consultancies. Specialists could explore implementation or subcontracting relationships with larger integrators, but the announcement does not specify a reseller program or a route for smaller partners to participate. Partners considering these arrangements should negotiate customer access and technical handoffs before committing to projects.
Customer contracts could ultimately determine which providers retain responsibility after an AI system goes live. For smaller partners, securing that continuing role may be the difference between a one-time implementation project and a recurring service relationship.
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