Coforge has introduced AI Mod Squads, a new subscription-based delivery model that replaces traditional Time and Material (T&M) contracts with outcome-driven pricing. By combining pre-built AI agents with specialized human engineers, the company offers enterprises a scalable, predictable way to accelerate their digital transformation. Early adopters have already seen significant improvements, including a 70% reduction in cycle time for loan originations and 50% faster insurance underwriting cycles.
Shifting to Outcome-Based Engineering
Coforge has officially launched its AI Mod Squads, a groundbreaking delivery model designed to provide enterprises with greater cost predictability and faster time-to-market. Moving away from legacy T&M pricing, the company now offers a simple monthly subscription fee. This fee covers access to foundational infrastructure, specialized AI agents, and a team of expert senior AI engineers who work alongside the agents to ensure project success.
Strategic AI Integration
The company is offering a library of over 130 pre-built agents categorized into two primary areas: industry-specific solutions, such as fraud detection and claims triaging, and engineering-focused agents designed for tasks like legacy code reverse engineering and quality assurance. These agents can be deployed within the client’s own environment or via the secure, Coforge-hosted Forge-X agentic infrastructure.
Human-in-the-Loop Accountability
At the core of the Mod Squad model is a structured expert-in-the-loop approach. Senior AI specialists at Coforge oversee the autonomous agents, actively directing and validating their output at every critical decision point. This model ensures that high-velocity AI execution is balanced with human accountability, making it suitable for both regulated workflows and complex technical engineering projects.
Measurable Business Impact
The effectiveness of this new model is already validated by real-world performance metrics. A banking loan origination squad successfully achieved a 70% reduction in cycle time, while an insurance underwriting team realized a 50% improvement in underwriting speed. According to company leadership, this transition to transparent, outcome-focused pricing is a key step in accelerating the adoption of autonomous AI-driven enterprises.
Source: BSE
