Tech Mahindra has launched a new services portfolio Agentic Development & Modernization Services (ADMS), aimed at enterprise application development, legacy modernization, and AI-led operations. The company says the offer is built to help companies move from traditional application maintenance to more autonomous software systems that can sense, reason, and act.
According to Tech Mahindra, the new portfolio is designed to modernize how applications are built, evolved, and operated. ADMS is a redefinition of the older Application Development and Maintenance Services model, with “agentic AI” added across the application lifecycle. The idea is to shift enterprise software work toward AI-led delivery, autonomous operations, and continuous quality control.
The portfolio is built on its long experience in application development and managed services, and that it combines engineering expertise with AI-powered delivery models to help enterprises modernize legacy estates and build digital frameworks that are easier to manage at scale.
Tech Mahindra is targeting companies that still rely on old application stacks, complex maintenance processes, and heavy manual work across build, test, run, and modernization cycles. Agentic AI can reduce manual involvement, improve predictability, and make software environments more adaptive.
What is inside the new portfolio
Tech Mahindra says ADMS is organized around four pillars: Modernizing Platforms for Autonomy, Agentic Software Engineering, Autonomous Operations, and Autonomous Quality Fabric. Each pillar covers a different part of the enterprise software lifecycle, from re-architecting legacy systems to running self-healing environments and improving testing.
The portfolio is powered by its internal platforms and accelerators, including Swifter.io, AppGinieZ, Reforge, and LitmusT. These tools support autonomous software engineering, platform modernization, intelligent operations, and AI-enabled quality assurance.
A further detail is the company’s Vector Squad-based delivery approach, which combines human expertise with AI agents, and its Service Tokens pricing model, which Tech Mahindra says is meant to make consumption more modular and cost predictable.
Tech Mahindra is updating its application-services language for the current AI cycle. Instead of selling only development and maintenance, it is now talking about agentic engineering, autonomous operations, and AI-native enterprise systems. That reflects where the market is heading: buyers want fewer handoffs, more automation, and tighter control over code quality and operations.
It also shows how Indian IT services firms are trying to reposition themselves as enterprises demand AI-led modernization. Industry spending on application implementation and next-generation engineering services is expected to grow over the next several years, driven by demand for intelligent operations and autonomous software engineering. That is the business case behind the launch.
Executive view
Tech Mahindra’s President of Next Gen Verticals, Kunal Purohit, said the company is helping enterprises move toward more adaptive, resilient, and context-aware application ecosystems. On the company’s official page, he said autonomy will define the next decade of enterprise transformation, with software increasingly learning, deciding, and acting within guardrails.
Everest Group’s Alisha Mittal said the application services market is entering a more agentic phase, where enterprises are progressing beyond traditional automation and looking for AI-enabled delivery models that support continuous progress and business continuity. That external view gives the launch supplementary context: Tech Mahindra is not inventing a new problem, but trying to meet a market shift that is already underway.
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