According to the company, Mod Squads merge pre-built AI agents with specialized AI engineers, enabling organizations to create tailored AI-powered teams for specific use cases and engineering workflows. Enterprises can construct these teams by choosing from over 130 pre-built AI agents categorized into industry-specific agents and engineering-focused agents.
Industry-specific agents assist functions such as fraud detection in banking, claims triaging in insurance, and weather alert management for airlines. Engineering-focused agents are capable of performing tasks like legacy code reverse engineering, automated quality assurance, and incident ticket resolution.
The agents can be deployed on customer-hosted AI infrastructure or through Coforge’s Forge-X agentic infrastructure, which includes built-in security controls, traceability, agent-to-agent collaboration, and data connectors. The company emphasized that its domain and technical expertise are integrated into the agents to provide specialized solutions for enterprises.
Each Mod Squad follows an “expert-in-the-loop” model, where senior Coforge AI specialists monitor and guide the agents at critical decision points, ensuring a balance of human accountability and AI autonomy.
Coforge reported the model has already generated measurable outcomes for clients. A banking loan origination human-agent squad achieved a 70% reduction in cycle time, while an insurance underwriting human-agent squad produced a 50% faster underwriting cycle.
Under the subscription model, clients incur a fixed monthly charge based on the number, complexity, and autonomy of the deployed agents, ensuring cost transparency and predictability for engineering budgets.
Also read: Coforge shares recover from intraday lows as Motilal Oswal sees 73% upside; UBS stays ‘neutral’
Coforge shares concluded higher on the NSE, climbing ₹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.
