How Endava builds an agentic organization with Codex

Endava Implements OpenAI's Codex to Build an Agentic Framework

IT services firm Endava is actively integrating OpenAI's Codex model to build what it describes as an 'agentic organization.' The initiative focuses on embedding AI agents directly into its internal software development and operational workflows. This strategic move is aimed at accelerating project delivery and enhancing developer productivity by automating repetitive coding and process management tasks, representing a significant internal application of AI within the professional services sector.

Technical Architecture and Integration

The project's architecture hinges on creating a network of specialized AI agents powered by large language models. These agents are designed to handle discrete parts of the software development lifecycle, from initial code generation to testing and documentation. The system relies on constant communication with model endpoints, likely through OpenAI's API infrastructure, to function. Key components of this agentic framework include:

• Automated generation of boilerplate code, data structures, and function stubs directly within developer environments.
• AI-assisted creation of unit tests and integration tests to improve code coverage and quality.
• Natural language-to-code translation for non-specialist stakeholders to define application logic.
• Streamlined CI/CD pipeline tasks, where agents can assist in managing deployments and environment configurations.

This implementation demonstrates a move beyond simple code completion tools. It points toward a more systemic integration of AI into the core engineering processes of a large-scale consultancy. By building an internal platform, Endava aims to create a standardized, efficient, and AI-augmented delivery model that can be scaled across its global client projects, creating a proprietary advantage in the competitive IT services market.

Endava's move to build an 'agentic' framework is less about adopting a single tool and more about re-architecting its core service delivery model around AI automation. This signals a strategic shift in the IT consulting industry, where internal operational efficiency gained from AI becomes a direct competitive advantage and a client-facing selling point.