How Endava is redesigning software delivery around AI agents
Global technology services company Endava is redesigning its software delivery and enterprise operations around AI agents, ChatGPT Enterprise, and Codex. By establishing OpenAI as its enterprise AI platform, the 11,000-person organization aims to foster an AI-native culture where employees solve problems with AI first. This transformation has expanded from engineering teams into legal, commercial, and leadership operations.
The Core Development
Endava is a global technology services company that has spent more than 25 years helping enterprises solve complex business problems through technology. Today, that mission increasingly centers on AI.
But for Endava, adopting AI meant more than introducing new tools. It required rethinking workflows, leadership behaviors, and how teams collaborate across the business.
We sat down with Matthew Cloke, CTO, to hear how Endava is embedding AI across the organization, redesigning software delivery around agents, and creating a culture where experimentation is expected—not optional.
Deployment & Availability
In one internal pricing discussion, employees skipped spreadsheets entirely and instead built a single-page pricing app teams could interact with immediately.
Enabled teams to build internal tools and applications without dedicated engineering support
Strategic Perspective & Ecosystem Impact
“AI has had a fundamental impact on Endava over the past couple of years,” says Cloke. “We really had to answer the question of how to be a relevant organization in the new AI world.”
That mindset led Endava to make OpenAI its enterprise AI platform, giving employees across the company access to ChatGPT Enterprise and Codex. The goal wasn’t simply adoption—it was making AI part of the flow of everyday work.
“To be AI-native at Endava, it’s about thinking about AI to solve the problem first,” Cloke explains. “It’s the first thing you do rather than the last thing that you do.”
Why it matters
Endava's transformation illustrates how global service enterprises are moving beyond basic AI productivity tools to embed reasoning models, Codex agents, and AI-native methodologies directly into their operational models.