Coforge launches “Mod Squads” – Outcome based human-agent pods under a subscription pricing construct
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Coforge introduces AI Mod Squads, a subscription-based delivery model that replaces traditional T&M with outcome-driven pricing, faster time-to-market with full cost predictability.
- Enterprises can assemble custom AI-native teams tailored to industry and engineering workflows, enabling autonomous, scalable execution with proven impact
Customers can create their own AI-powered teams by selecting a set of pre-built AI agents for their use cases. Coforge is offering a comprehensive suite of 130+ agents across two categories:
- Industry-specific agents: Designed to handle tasks like fraud detection for banking, claims triaging for insurance, and weather alert management for airlines.
- Engineering-focused agents: Designed to execute legacy code reverse engineering, automate quality assurance, fix incident tickets, and more.
The agents can be deployed in either customer hosted AI infrastructure, or in Coforge hosted Forge-X agentic infrastructure that includes built-in security controls, traceability, agent-to-agent collaboration and data connectors. Coforge's vertical and technical expertise is deeply embedded into every agent, enabling these squads to deliver hyper-specialized solutions that other agentic delivery models cannot match.
At the heart of every Mod Squad is a structured expert-in-the-loop model, where Coforge's senior AI specialists oversee the agents, and actively direct, validate, and course-correct them at every critical decision point. This ensures that AI autonomy is paired with human accountability, making this model equally suited to high-stakes, regulated workflows and to high-velocity engineering delivery.
“With our AI Mod Squads, we are giving clients something the market has not offered before: the freedom to compose their own AI-powered delivery team, backed by domain intelligence built over three decades,” said
A clear departure from the traditional T&M pricing model, customers pay a fixed subscription fee per month for each AI Mod Squad. This covers access to the foundational elements, the agents required for their use case, and the senior AI engineers who work alongside them on delivery.
Pricing is determined by the number, complexity and autonomy of the agents deployed, which range from simple code-writing bots to complex agents that orchestrate multiple tasks. This model provides enterprises with the flexibility to pay for only what they consume, ensuring high transparency and cost predictability for annual engineering budgets.
“By moving from effort-based pricing to a transparent outcome focused subscription model, we are giving clients cost predictability while enabling acceleration of our customers’ transition to autonomous AI-driven enterprises.” said
Coforge’s AI Mod Squads are proving to be a groundbreaking delivery model – they are already generating strong, measurable business outcomes for customers. A banking loan origination human-agent squad has generated a 70% reduction in cycle time, and an insurance underwriting human-agent squad has led to a 50% faster underwriting cycle. In addition, they are leading to significantly faster time-to-market, greater standardization of output, and flexibility to scale, reconfigure, or expand squads as business needs evolve.
Coforge’s AI Mod Squads are available immediately for deployment.
About Coforge:
Coforge is an AI-native engineering services leader, where AI is the very foundation of how we design, build, and deliver intelligent solutions for our clients. We use AI and hyperspecialized industry expertise to engineer autonomous enterprises. We combine AI agents with our AI-enabled workforce, including specialized FDEs in hybrid pod-based delivery units. With a deep focus on trusted AI, our solutions are secure, governed, and enterprise-grade. We are outcome-led by design. Moving beyond AI experimentation, we deliver measurable business outcomes – lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth.
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Source: Coforge