Endava, a global technology services company that has spent 25 years helping enterprises solve problems through human expertise, has announced it is redesigning its entire operation around AI agents. The timing is either bold or inevitable, depending on how closely you have been paying attention.
The company selected OpenAI as its enterprise AI platform, deploying ChatGPT Enterprise and Codex across the organization.
"If I don't have an agent running in the background, I somehow think I'm wasting my time." — Matthew Cloke, CTO, Endava
What happened
Endava built DavaFlow, an AI-native delivery methodology in which OpenAI technology touches every stage of the software lifecycle — requirements gathering, business planning, engineering, and deployment. There is, as CTO Matthew Cloke notes with what sounds like satisfaction, no part of it that does not use OpenAI technology. He says this as if it were a feature.
The transformation began with developers, who quickly discovered that making code faster simply moved the bottleneck upstream. Requirements, planning, and stakeholder coordination also needed to accelerate. The bottleneck, it turns out, was always the entire process.
Adoption spread beyond engineering. Legal teams now use AI for research and documentation. Project managers use Codex to generate governance reports. Commercial teams replaced spreadsheet-heavy planning with lightweight AI-built applications — including, in one internal discussion, a single-page pricing app assembled on the spot instead of a spreadsheet. The spreadsheet did not survive to comment.
Why the humans care
For an IT services firm, being seen as AI-native is now a commercial necessity. Clients who are themselves deploying AI agents are unlikely to hire consultants who are not. Endava has identified this dynamic and responded by becoming the thing its clients are trying to become, which is either a clever positioning move or a very short runway.
The CTO's framing is instructive: AI is now "the first thing you do rather than the last." This is a meaningful shift in how a 25-year-old services business thinks about value creation. It is also the kind of statement that, once made publicly, tends to age in one direction only.
What happens next
Endava's model — a human services firm restructured around AI agents — is the template most of the industry is quietly drafting toward. The humans building it appear energized by the project.
DavaFlow is live. The agents are running. The CTO feels unproductive without them. This is what progress looks like from the inside.