New Agentic Development & Modernisation Services Portfolio Signals Shift Toward Autonomous Software Engineering
In a significant move to strengthen its position in the rapidly evolving artificial intelligence landscape, Tech Mahindra has reimagined one of the IT industry’s most familiar service categories. The company has officially transformed its traditional Application Development and Maintenance Services (ADMS) model into Agentic Development & Modernisation Services, placing autonomous AI at the center of enterprise software modernization.
The announcement marks more than a simple rebranding exercise. It reflects a broader strategic shift across the technology services sector, where organizations are increasingly moving away from labor-intensive software management approaches and embracing intelligent, self-learning systems capable of operating with minimal human intervention.
A New Era of AI-Driven Enterprise Applications
As enterprises worldwide seek faster innovation cycles and greater operational efficiency, Tech Mahindra’s new ADMS portfolio aims to help businesses modernize legacy applications and transition toward AI-native digital ecosystems.
The company believes the future of software development lies in agentic AI—intelligent systems capable of making decisions, executing tasks, and continuously optimizing operations without constant manual oversight.
According to Tech Mahindra, the new services portfolio is designed to help organizations create adaptive, resilient, and context-aware application environments that can evolve alongside business demands.
Four Strategic Pillars Powering the Transformation
The newly launched Agentic Development & Modernisation Services framework is built around four core pillars designed to support end-to-end software modernization.
1. Platform Modernisation
The first pillar focuses on transforming aging enterprise technology stacks into modular, API-first architectures. This approach enables organizations to build flexible digital foundations capable of supporting advanced AI capabilities and future innovation.
2. Agentic Software Engineering
AI agents are being embedded directly into software development and DevSecOps workflows. By automating routine development tasks and supporting engineering teams, the company aims to improve productivity, accelerate release cycles, and enhance software quality.
3. Autonomous Operations
Tech Mahindra is integrating intelligent automation, AIOps, and knowledge graph technologies to create self-managing operational environments. These systems can monitor performance in real time, detect anomalies, and initiate corrective actions before issues impact business operations.
4. Autonomous Quality Fabric
The fourth component introduces a continuous, AI-driven quality assurance framework. Operating alongside DevOps pipelines, autonomous quality agents can identify defects, validate code, and maintain software reliability throughout the development lifecycle.
Proprietary Platforms Strengthen AI Delivery
Supporting the new portfolio is a collection of Tech Mahindra-developed accelerators and platforms, including Swifter.io, AppGinieZ, Reforge, and LitmusT. These technologies are intended to speed modernization initiatives while helping enterprises scale AI adoption more effectively.
A key differentiator of the strategy is the company’s Vector Squad model, which combines human expertise with AI agents. Rather than replacing engineers, the model seeks to create collaborative teams where AI handles repetitive and data-intensive tasks while human professionals focus on strategic decision-making and innovation.
Introducing “Service Tokens” for Flexible AI Adoption
In an effort to simplify enterprise technology spending, Tech Mahindra is also rolling out an innovative Service Tokens pricing framework.
The model is designed to provide clients with greater flexibility in how they consume technology services, allowing organizations to select and scale capabilities as needed while benefiting from more predictable cost structures. The approach could make AI-driven modernization initiatives more accessible for enterprises looking to accelerate digital transformation without committing to rigid service contracts.
Betting Big on the Future of Agentic AI
Commenting on the launch, Kunal Purohit, President of Next Gen Verticals at Tech Mahindra, emphasized the growing demand for intelligent operations, autonomous software engineering, and outcome-focused transformation.
The company sees Agentic Development & Modernisation Services as a critical enabler for organizations seeking to build future-ready application ecosystems capable of adapting to changing business conditions and technological advancements.
Strategic Move Amid Intensifying AI Competition
The launch comes at a time when global IT services providers are racing to establish leadership in agentic AI and autonomous enterprise solutions. As traditional application management services face increasing commoditization pressures, technology firms are searching for higher-value offerings that deliver measurable business outcomes.
For Tech Mahindra, which serves more than 1,100 clients across over 90 countries and employs approximately 147,000 professionals worldwide, the new ADMS strategy represents a calculated step toward becoming a leading partner for AI-powered enterprise transformation.
By combining autonomous AI, intelligent automation, and modern software engineering practices, the company is positioning itself to help enterprises move beyond conventional digital infrastructure and embrace the next generation of composable, AI-native business environments.
Outlook
Tech Mahindra’s reimagined ADMS portfolio highlights a growing industry reality: the future of software development is increasingly autonomous, intelligent, and outcome-driven. As businesses accelerate their AI journeys, solutions that blend human expertise with agentic AI capabilities are expected to play a pivotal role in shaping the next phase of enterprise modernization.
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