Endava embeds OpenAI across enterprise, from legal to leadership

Endava's shift to an AI-native model started within its software delivery teams. Once developers experimented with AI-assisted coding, the bottleneck moved away from engineering output to earlier stages like requirements gathering and business analysis. This prompted Endava to redesign its entire DavaFlow process around AI agents, embedding tools like ChatGPT Enterprise and Codex into daily workflows. The company's experience suggests that AI adoption is less about introducing software and more about changing behaviors, which is why leaders are expected to use AI themselves, and hands-on experience is seen as the quickest way to overcome skepticism.

What stands out is the expansion beyond technical roles. Legal teams use AI to streamline research, project managers generate reports, and commercial teams build lightweight internal apps without dedicated engineering support. Endava says AI fluency is now part of hiring and promotion expectations. This broad integration indicates the company views AI not as a separate initiative but as the underlying operating model—one that combines models, agents, and human expertise into orchestrated systems.

The stakes for Endava, and for other enterprises watching its rollout, hinge on whether this cultural shift can sustain as the company moves into more complex orchestration. The next phase will likely test how well these integrated systems handle real-world, enterprise-scale collaboration. For skeptics, Cloke's straightforward advice—to start using the technology personally—may be the practical first step, but the long-term value depends on whether the orchestration vision delivers on its promise of reshaping how organizations operate.