Tech Mahindra Launches AWS Agentic Process Transformation CoE to Redefine AI-Led Business Operations

In September 2026, Tech Mahindra launched an AWS Agentic Process Transformation Centre of Excellence to support wider use of agentic artificial intelligence in business operations. The center brings together Tech Mahindra's business process services arm with Amazon Web Services tools and cloud infrastructure. It aims to help organizations move beyond pilot projects and put AI systems into day-to-day operations. The initiative will also focus on sectors including telecoms, healthcare, banking and financial services, retail, and manufacturing. It will also form part of a broader collaboration between Tech Mahindra and AWS on AI-led process change.

The CoE combines Tech Mahindra BPS' deep process expertise with AWS cloud and Agentic AI capabilities to help organizations move from AI experimentation to measurable business impact. Built as a scalable AI execution engine, the AWS APT CoE will allow enterprises to deploy industry-specific AI solutions that improve operational efficiency, reduce costs, enhance decision-making, and accelerate pilot-to-production cycles. The initiative reinforces Tech Mahindra's collaboration with AWS while strengthening its ability to deliver governed, enterprise-scale AI transformation across various industries including telecom, healthcare, banking and financial services, retail, and manufacturing.

The APT CoE is already delivering measurable business impact through its first jointly developed solution. Collections Guru, which is an agentic AI-powered collections agent co-developed by Tech Mahindra and AWS as part of the APT CoE, was deployed by Target Group, a leading UK-based financial services outsourcing provider, to transform arrears management operations. Built on AWS cloud and AI infrastructure, the solution delivered approximately 40% efficiency gains by autonomously optimizing collection strategies through agentic AI, representing the type of production-grade, jointly engineered offering the CoE is designed to scale across industries.

Impact on the ICT Market

The launch reflects a wider effort by service providers and cloud companies to turn interest in generative and agentic AI into operational programs tied to specific business processes. Many large companies have run AI pilots over the past two years, but moving those tests into broader production has remained uneven. Tech Mahindra is positioning the new center as a structure for governed delivery at scale rather than experimentation alone.
In practice, this means building repeatable models for use cases in business process operations where companies want lower handling times, better decision support, or more consistent execution. The launch further strengthens Tech Mahindra BPS' go-to-market strategy for AWS-powered AI services by expanding customer opportunities, enabling scalable delivery models, and accelerating AI engagements through industry-focused innovation and execution.

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is growing rapidly, driven by digital transformation, rising demand for autonomous decision-making in business activities, and deeper integration of AI with enterprise software.

According to Precedence Research, the market is establishing a foothold as enterprises evolve from predictive systems to autonomous systems in search of a more efficient, cost-effective, and adaptive intelligence. Deeper integration with enterprise software and the speed at which AI is developing mean that agentic AI will cause a paradigm shift within enterprise operations. Organizations are moving toward autonomous systems that limit human decision-making. This movement helps spur the adoption of agentic AI because AI can find the right sequence of actions and minimize human involvement in the enterprise workflow.

By combining large-scale enterprise data, predictive analytics, and continuous learning, these systems thus allow organizations to make proactive decisions, optimize ongoing processes, and build operational resilience. One of the greatest technology trends in agentic AI is the evolution of multi-agent collaboration approaches, composable architectures allowing for maximum flexibility, and trusted governance frameworks related to these approaches that ensure security and accountability across all enterprise functions.

Impact on the Cloud Infrastructure Services Market

The global cloud infrastructure services market size accounted for USD 166.51 billion in 2025 and is predicted to increase from USD 194.82 billion in 2026 to approximately USD 766.57 billion by 2035, expanding at a CAGR of 16.50 % from 2026 to 2035.

According to Precedence Research, the market is driven by growing adoption of artificial intelligence, increasing demand for scalable computing, and rising enterprise digital transformation. Cloud providers invest heavily in security measures and compliance certifications. This enhances data protection, access control, and regulatory compliance, addressing concerns related to the security of sensitive information and ensuring adherence to industry-specific regulations.

The expanding landscape of edge computing is also helping to create significant opportunities for the cloud infrastructure services market. As edge computing gains prominence, there is a growing need for decentralized infrastructure that brings computational power closer to data sources. Cloud infrastructure services can now capitalize on this trend by developing solutions tailored to edge environments. Offering scalable and flexible resources for processing data at the edge allows businesses to optimize performance, reduce latency, and enhance overall efficiency. Cloud providers that strategically position themselves to meet the demands of edge computing scenarios can unlock new revenue streams and cater to industries requiring real-time data processing capabilities.

Expert Opinion

"Enterprises are moving quickly on AI, but many still struggle to scale beyond pilots and fragmented use cases," said Birendra Sen, President - Business Process Services, Tech Mahindra. "With the AWS APT CoE, we are bringing together Tech Mahindra BPS' process expertise and AWS-native AI capabilities to help customers operationalize Agentic AI with stronger governance, faster execution, and measurable business impact."