‘Essentially it addresses two scenarios when you are modernizing your applications on Azure, as well as when you are doing cloud-native development. It takes your developer experience beyond individual developer productivity. Today, pretty much any GenAI or agentic AI software will improve developer productivity, but we’re going beyond that to bring in a more governed software development process,’ says Girish Phadke, head of TCS’s Azure practice.
India-based global IT services, consulting, and business solutions provider Tata Consultancy Services has introduced two new solutions for AI aimed at leveraging agentic interventions to make it easier for those working in software engineering and IT operations.
The first of these is TCS Agentic SDLC on Microsoft Azure, an agentic solution based on Azure AI Foundry and GitHub Copilot aimed at accelerating cloud native development and application modernization on Microsoft Azure, said Girish Phadke, head of the Azure practice of TCSranked No. 3 on CRN’s 2025 Solution Provider 500.
TCS Agentic SDLC on Microsoft Azure uses an enterprises’ design pattern, coding standards, and best practices for a predefined set of archetypes for application modernization and cloud-native development on Azure, Phadke said.
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“Essentially it addresses two scenarios when you are modernizing your applications on Azure, as well as when you are doing cloud-native development,” he said. “It takes your developer experience beyond individual developer productivity. Today, pretty much any GenAI or agentic AI software will improve developer productivity, but we’re going beyond that to bring in a more governed software development process. That minimizes rework by almost 90 percent to 95 percent, and that reduction in rework essentially results in almost 15 [percent] to 30 percent additional developer productivity.”
With TCS Agentic SDLC on Microsoft Azure, TCS is augmenting the existing capabilities of tools in the Microsoft world like GitHub and Copilot, which are focused on individual developer productivity, Phadke said.
“We are bringing in the enterprise way of building software,” he said. “Otherwise, what happens is, you develop the initial set of code, but then there is lot of rework needed because you need to align that code to your enterprise standard. We eliminate that rework. And that is our unique value proposition for this particular solution, which comes bundled with set of around six agents especially for app modernization and building the application documentation, including Features Agent, UI Design Agent, UI Build Agent, Documentation Agent, Solution Agent, Code Scanner Agent and Impact Analysis Agent.”
The second new offering is TCS Autonomous Operations on Microsoft Azure.
TCS Autonomous Operations on Microsoft Azure uses a suite of specialized agents to automate platform and application operations to improve the ability of organizations to achieve digital-first interactions by integrating with ITSM tools, reducing ticket volumes, and improving mean time to recovery (MTTR).
The offering also leverages Azure AI Foundry, Semantic Kernel, and AutoGen for sophisticated agentic orchestration, and is strategically designed to adopt the Microsoft Agent Framework.
Phadke said TCS Autonomous Operations on Microsoft Azure goes beyond traditional AIOps and automation, which is today present for Azure operations including infrastructure and application operations as well as SRE, or site reliability engineering.
“It brings in agentic AI interventions,” he said. “It results in reduction of up to 25 percent and up to 10 [percent] to 30 percent reduction in ticket resolution and documentation time. The unique value proposition is that it’s not a rip-and-replace solution. It augments customers’ existing AIOps solutions and brings them a layer of autonomy over and above the automation that customers have today.”
TCS Autonomous Operations on Microsoft Azure comes prebuilt with a set of around 12 agents including operability agent and coder agent, Phadke said.
“We also have a framework to build custom agents for our customers,” he said. “It also comes along with a set of curated recipes based on the TCS way of running Azure operations. These curated recipes help the agents to solve IT operation issues on a proactive basis in a very fast manner. One of the unique things we are doing is building a knowledge fabric based on existing ITSM or IT Service Management artifacts such as standard operating procedures and knowledge repositories. All of this results in very proactive issue resolution.”
TCS is currently piloting the new solution for one of its customers by building a set of SRE agents for one of their units which is big on Azure to help increase efficiency and resiliency via the SRE agent, Phadke said.
Also new is TCS MXDR Services with Microsoft, which the company called a next-generation cybersecurity solution aimed at securing AI and cloud transformation from the core. TCS MXDR Services with Microsoft combines TCS’ deep domain expertise and proprietary AI frameworks with Microsoft’s Unified Security Operations Platform which includes Microsoft Sentinel, Defender XDR, and Purview. The technology aims to help businesses achieve perpetual cyber resilience with AI-powered real-time threat detection, unified security operations center (SOC) operations through Microsoft Purview, and zero-trust principles.
Phadke said that increased automation via the adoption of AI in its new Microsoft solutions is not expected to result in a reduction of businesses’ workforces.
“We see an operating model emerge where agents and human work together, actually,” he said. “Agents will augment what humans are doing. Obviously, some of the lower-end tasks will probably get significantly automated, but it will free up time for humans to do more value adding work. I don’t see a complete replacement, but more of augmentation and a new operating model that will emerge eventually, especially for IT software development and IT operations.”
Hemal Mehta, head of technology for TCS Cloud Workplace, said TCS sees this as an opportunity for making these toolsets enabled for more employees for their daily work.
“A lot of mundane tasks can be done with AI-assisted tools,” Mehta said. “Employees can get time back, which can be used to create more value for organizations.”
TCS’s new solutions are based in large part on Microsoft Azure AI Foundry capabilities for building, deploying, governing, and optimizing agents, Phadke said.
Customers understand AI agents will be increasingly important, but they don’t always know how to embark on the agent journey, Mehta said.
“Microsoft wants to democratize creating agents,” he said. “At the same time, there is a risk in terms of governance and security. There are multiple layers where we need to manage security and governance before we can start everyone in an organization building purposeful agents. It’s not like these are the only 15 agents you are going to use. You will be creating another 100, 150, whatever number of agents you want to make to get the things done for the individual persona. We’re going to build that strong foundation layer on which you can start building and using agents from the security aspect with all the guardrails in place. So an enterprise which is starting with Copilot can take it to the next step and start realizing their own agents rather than just relying on first-party agents from Microsoft or others.”