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Endava builds agentic organization using OpenAI Codex | AI Best Practices — McFadyen Digital | AI Best Practices for Commerce
  1. News
  2. › Agentic AI reshapes enterprise workflows and org design
  3. › May 29, 2026
Agentic AI reshapes enterprise workflows and org designFriday, May 29, 2026
  • Business Services
LLMEndavaOpenAICodex · openai

Endava builds agentic organization using OpenAI Codex

Endava, a global software firm, has restructured around OpenAI's Codex to codify senior expertise into agents that guide teams through the entire client engagement lifecycle, compressing weeks of sequential work into days. For commerce practitioners, this model demonstrates how AI agents can amplify junior developer output to senior-level quality while accelerating requirements, design, and delivery phases in parallel.

Endava, a software contracting firm serving banks, insurers, retailers, and media companies, has adopted OpenAI's Codex as a foundational tool to become an "agentic organization." Rather than treating Codex as a coding assistant alone, the company uses it across requirements analysis, design, specifications, development, and operations. A concrete example: Endava's legal team needed thousands of contract pages reviewed; instead of weeks of back-and-forth between lawyers and engineers, a two-hour recorded meeting transcript fed to Codex generated a usable requirements specification in two one-hour follow-up sessions.

For commerce practitioners, this approach reveals a scalable knowledge-transfer model. Senior architects codify their judgment into Codex prompts, allowing junior developers to produce mature-level outputs with real-time guidance on best practices and architectural decisions. The payoff is compressed delivery timelines—analysis, design, and build stages that once took weeks as sequential handoffs now happen in parallel as a unified workflow. This directly impacts project velocity and resource utilization for engineering teams supporting retail, fintech, and media clients.

Endava's leadership recommends starting with non-coding workflows (requirements, design documentation, client communication) to unlock Codex's full value beyond code generation. The model suggests that commerce technology teams can reduce time-to-insight in discovery and requirements phases while simultaneously upskilling junior engineers—a dual productivity and talent-development win.

Sources:1 report
  • Open AI news
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ShareLast updated: May 29, 2026