Global technology firm Endava is overhauling its software delivery pipeline by integrating AI agents built on OpenAI's ChatGPT Enterprise platform, according to a case study published by OpenAI.
From Copilots to Autonomous Agents
According to the OpenAI announcement, Endava is moving beyond using AI as a coding assistant and building specialized agents intended to handle segments of the software development lifecycle with less human intervention — including tasks such as generating boilerplate code from specifications, drafting unit tests, supporting parts of the CI/CD pipeline, and producing documentation.
Core Components
Per the case study, Endava's approach includes:
- ChatGPT Enterprise as the underlying platform for internal AI applications, with data handled under enterprise privacy terms.
- Custom AI agents built for specific engineering tasks rather than general-purpose chat.
- Workflow integration, embedding agents into existing developer tools.
- Training programs aimed at building AI fluency across its engineering workforce.
Why It Matters
Endava, a tech services firm serving enterprise clients, describes this as an effort to redesign a core business process around AI agents rather than simply supplementing developer tools. OpenAI did not disclose specific performance metrics, timelines, or cost savings in the announcement, and no independent figures are yet available to assess the initiative's impact.