How Wipro Uses Factory to Reimagine Software Engineering

As enterprises move from AI experimentation to enterprise-scale adoption, autonomous AI agents are becoming part of how engineers build software at Wipro. Wipro has integrated Factory into its AI-powered delivery platform, known as WEGA, within the Wipro Intelligence™ suite.

Using Factory, engineers delegate repetitive implementation and testing tasks to Factory’s agents, called “Droids.” This allows engineers to focus on complex edge cases, architectural questions, and business problems. All the while, they continue to manage the review and governance required for enterprise software.

Engineers interviewed for this case study shared examples of faster development using Factory. These include:

• A technology platform refresh completed by one engineer in approximately 2 to 3 months, compared with an original estimate of 9 to 12 months for a couple of developers.
• A resumability fix completed by one engineer in approximately 15 minutes, compared with an estimated 2 to 3 days to complete.

About Wipro

Wipro Limited is a leading AI-powered technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. The company leverages a consulting-led approach and the Wipro Intelligence™ unified suite of AI-powered platforms, solutions, and transformative offerings to help clients realize their boldest ambitions to build intelligent and sustainable businesses.

The Wipro Innovation Network, part of the Wipro Intelligence™ suite, underpins Wipro’s commitment to client-centric co-innovation and co-creation by bringing together capabilities from the innovation labs and partner labs, academia, and global tech communities. With over 240,000 employees and business partners across 65 countries, the company delivers on the promise of helping its customers, colleagues, and communities thrive in an ever-changing world.

The opportunity

The Wipro Innovation Network team was exploring autonomous software development lifecycles, with the ambition of moving from humans “in the loop” to humans “on the loop.”

The team considered how work across the lifecycle, from requirements gathering and specification development to coding, testing, and deployment, could be carried out autonomously with human oversight.

Achieving this at scale would require a fundamental shift in how engineers work. The team looked beyond code generation. It explored how autonomous agents could contribute across multiple stages of the lifecycle, including planning, implementation, and testing, within enterprise engineering environments.

Why Wipro chose Factory

Wipro was already familiar with Factory through Wipro Ventures’ investment in the company. Wipro Ventures, Wipro’s corporate investment arm, invests in early-to-mid-stage enterprise software startups.

Factory’s architecture and agent-native approach matched the team’s ambition for an autonomous software development lifecycle. The team was looking for agents that could contribute across a broader range of engineering work, and Factory offered capabilities spanning planning, implementation, and testing. Droids, Factory’s software engineering agents, operate within parameters that engineers define.

Sandhya Arun, Wipro’s Chief Technology Officer, described the effect on the team:

“Our engineers love using it because it puts control right back in their hands. They don’t feel like they are being displaced by AI, but they feel that they are being empowered with AI.”

Sandhya Arun, Chief Technology Officer, Wipro

How Wipro works with Factory

Factory is integrated into the Wipro Intelligence™ suite, where it supports software delivery from planning and implementation through testing. Engineers at Wipro use it to refresh existing platforms, build new applications, and explore new concepts through rapid prototyping.

A senior solution architect at Wipro described a project in which a single prompt started planning, implementation, and testing, resulting in the end-to-end development of an application.

The Wipro Innovation Network also used Factory to build an engagement platform for its community of “exponential engineers” who augment their expertise with AI agents and reusable skills. On the platform, engineers share agents, prompts, and AI skills that colleagues can reuse in their own projects.

Utkarsh Pateriya, Senior Engineer at Wipro, described his experience using Factory:

“I’ve moved from being an implementer to an orchestrator. The focus has shifted towards defining the problem clearly, setting the right constraints and guiding execution towards the desired outcome rather than performing every step manually.”

Utkarsh Pateriya, Senior Engineer, Wipro

The results

The examples and observations below come from interviews with engineers who use Factory in their workflows.

• A platform refresh: from an estimated 9 to 12 months to approximately 2 to 3 months. One engineer reported completing a technology platform refresh using Factory in approximately 2 to 3 months. According to the engineer, the effort had originally been estimated to require 9 to 12 months of work for a couple of developers.
• A resumability fix: from 2 to 3 days to approximately 15 minutes. On a separate project, an engineer described using Factory to fix a resumability problem, which affects whether software can pick up where it left off after an interruption instead of starting over, in approximately 15 minutes. The same task would otherwise have required 2 to 3 days to complete.

Wipro’s CTO, Sandhya Arun, described the broader outcomes of using Factory:

“We are seeing meaningful results across our teams, including better engineering experience, faster engineering cycles, improved productivity, and client outcomes.”

Sandhya Arun, Chief Technology Officer, Wipro

With Factory, Wipro’s teams are reimagining existing solutions through rapid prototyping, enabling engineers to explore new approaches, translate concepts into working prototypes, and validate ideas before taking them forward.