Coforge Limited has achieved a significant milestone by securing all regulatory approvals and statutory clearances across multiple jurisdictions for its acquisition of Encora. The company announced on April 13, 2026, that all necessary approvals have been obtained without conditions, clearing the path for the transaction to close by the end of April 2026.

Transaction Overview

The acquisition, initially announced on December 26, 2025, will create a combined entity operating at approximately $2.5 billion run rate. The deal includes a preferential issue of equity shares that received in-principle approval from both BSE and NSE.

Integration Progress and Leadership

Coforge reports that integration planning and execution are progressing exactly according to the established schedule. The integration management office continues tracking workstreams across all functional areas, with the company on course to meet its stated integration milestones.

Leadership continuity remains a critical priority, and all senior leaders requested to stay have accepted their offers. The front-end commercial and sales teams of both organizations are ready to commence collaborative operations immediately post-closing.

Cost Optimization and Synergies

The company's cost optimization program targeting General & Administrative (G&A) functions is progressing on track. With detailed workplans and governance structures established, Coforge remains confident in achieving its margin guidance.

Strategic Vision

According to Sudhir Singh, Chief Executive Officer and Executive Director of Coforge, the transaction has proceeded exactly as planned with every element of anticipated synergies on course to be realized. The combined entity will operate as a $2.5 billion firm on a run rate basis, with a $2 billion enterprise core focused on AI-led engineering, data, and cloud services.

The acquisition positions Coforge as an AI-native engineering services leader, combining AI agents with an AI-enabled workforce in specialized delivery units. The company emphasizes its focus on trusted AI solutions that are secure, governed, and enterprise-grade, designed to deliver measurable business outcomes including lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth.

Coforge has announced the launch of AI Mod Squads, featuring outcome-based human-agent pods delivered through a subscription pricing model. This innovative approach represents a significant departure from traditional time-and-material pricing structures, combining pre-built AI agents with specialized AI engineers to deliver outcome-driven solutions with enhanced cost predictability and faster implementation timelines.

Comprehensive AI Agent Portfolio

The AI Mod Squads feature an extensive suite of over 130 pre-built AI agents organized into two distinct categories. Industry-specific agents are designed to handle specialized tasks such as fraud detection for banking institutions, claims triaging for insurance companies, and weather alert management for airlines. Engineering-focused agents concentrate on technical execution including legacy code reverse engineering, automated quality assurance, and incident ticket resolution.

Human-Agent Pod Structure and Infrastructure

The outcome-based human-agent pods operate through a structured expert-in-the-loop model that ensures human oversight at critical decision points. Senior AI specialists from Coforge actively direct, validate, and course-correct the agents throughout the delivery process, maintaining the balance between AI autonomy and human accountability for both high-stakes regulated workflows and high-velocity engineering delivery.

Customers can deploy the AI agents through two infrastructure options. The first involves customer-hosted AI infrastructure, providing organizations with direct control over their deployment environment. Alternatively, Coforge offers its proprietary Forge-X agentic infrastructure, which includes built-in security controls, traceability features, agent-to-agent collaboration capabilities, and comprehensive data connectors.

Subscription Pricing Structure

The new model introduces fixed monthly subscription fees per AI Mod Squad, covering access to foundational elements, required agents, and senior AI engineers. Pricing determination factors include the number, complexity, and autonomy level of deployed agents, ranging from basic code-writing bots to sophisticated agents capable of orchestrating multiple tasks.

Demonstrated Business Impact

Early implementations of AI Mod Squads have generated measurable business outcomes across different industry sectors. A banking loan origination human-agent squad achieved a 70.00% reduction in cycle time, while an insurance underwriting human-agent squad delivered a 50.00% faster underwriting cycle. These results demonstrate the model's capability to deliver significant operational improvements alongside faster time-to-market and enhanced standardization.

Leadership Perspective and Market Positioning

According to Sudhir Singh, CEO of Coforge, the AI Mod Squads provide clients with unprecedented freedom to compose their own AI-powered delivery teams, supported by domain intelligence developed over three decades. Sunil Fernandes, Chief Operating Officer, emphasized that the transition from effort-based pricing to outcome-focused subscription models enables cost predictability while accelerating customers' transition to autonomous AI-driven enterprises.

The AI Mod Squads are immediately available for deployment, positioning Coforge as an AI-native engineering services leader focused on delivering measurable business outcomes including lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth.