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How Endava is redesigning software delivery around AI agents
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.
“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.”
“If I don’t have an agent running in the background, I somehow think I’m wasting my time.”
—Matthew Cloke, CTO, Endava
Inside the rollout
Endava’s AI transformation began inside its software delivery teams.
As developers started experimenting with AI-assisted coding and agentic workflows, teams quickly realized the bottleneck was no longer engineering output. Requirements gathering, business analysis, planning, and stakeholder coordination all needed to move faster too.
That realization led to the creation of DavaFlow(opens in a new window), the company’s AI-native delivery methodology.
“We started to challenge how quickly we could produce requirements and how quickly we could produce the right business solutions for our clients,” says Cloke.
“There isn’t a part of DavaFlow that doesn’t use OpenAI technology.”
Original source
This story was published by OpenAI News. SyncAI.news shows a preview; the complete article is on the publisher's site.
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