According to the company, Mod Squads combine pre-built AI agents with specialized AI engineers to help organizations build customized AI-powered teams for specific use cases and engineering workflows. Enterprises can assemble these teams by selecting from more than 130 pre-built AI agents offered across two categories — industry-specific agents and engineering-focused agents.
Industry-specific agents are designed to support functions such as fraud detection in banking, claims triaging in insurance, and weather alert management for airlines. Engineering-focused agents can execute tasks including legacy code reverse engineering, automated quality assurance, and incident ticket resolution.
The agents can be deployed either on customer-hosted AI infrastructure or through Coforge’s Forge-X agentic infrastructure, which provides built-in security controls, traceability, agent-to-agent collaboration and data connectors. The company said its domain and technical expertise is embedded into the agents to deliver specialized solutions for enterprises.
Each Mod Squad operates with an “expert-in-the-loop” structure, where senior Coforge AI specialists supervise and guide the agents at key decision points to ensure human accountability alongside AI autonomy.
Coforge said the model has already produced measurable results for clients. A banking loan origination human-agent squad achieved a 70% reduction in cycle time, while an insurance underwriting human-agent squad delivered a 50% faster underwriting cycle.
Under the subscription structure, clients pay a fixed monthly fee based on the number, complexity and autonomy of the deployed agents, offering cost transparency and predictability for engineering budgets.
Also read: Coforge shares recover from intraday lows as Motilal Oswal sees 73% upside; UBS remains ‘neutral’
Coforge shares ended higher on the NSE, rising ₹40.20 or 3.27% to ₹1,270.80, while the closing price stood at ₹1,270.40, up ₹39.80 or 3.23% on April 8.
