BusinessFriday, May 29, 2026· 2 min read

Endava Uses Codex to Build an Agentic Organization, Cutting Analysis from Weeks to Hours

Source: OpenAI Blog

TL;DR

Endava adopted OpenAI Codex to create an agentic organization that automates routine engineering workflows and accelerates software delivery. By turning requirements analysis from weeks into hours, teams can focus on higher-value design and deliver features faster.

Key Takeaways

  • 1Codex powers agentic workflows at Endava, automating routine engineering tasks.
  • 2Requirements analysis time dropped from weeks to hours, speeding project kickoff.
  • 3Software delivery cycles accelerated, freeing engineers to focus on design and quality.
  • 4Human+AI collaboration improved productivity and enabled scalable, repeatable processes.

Endava builds an agentic organization with Codex

Endava has integrated OpenAI Codex into its engineering practices to create what it calls an "agentic organization"—a structure where AI agents handle repeatable, time-consuming tasks so humans can focus on higher-value work. The result: faster project starts, smoother handoffs, and measurable reductions in busywork across delivery teams.

Codex is used to automate requirements analysis and routine code-generation tasks. According to Endava, activities that previously took weeks—gathering, synthesizing, and translating requirements into actionable developer work—now complete in hours. This acceleration shortens feedback loops and enables teams to iterate more rapidly on product ideas.

Benefits observed include faster time-to-market, more predictable delivery pipelines, and higher developer satisfaction as engineers spend less time on repetitive chores. The approach emphasizes human oversight: AI agents handle structured, repeatable work while people retain decision-making authority and focus on design, architecture, and stakeholder collaboration.

Endava’s experience demonstrates a practical path for enterprises to scale engineering capacity without adding headcount. By combining agentic AI with clear governance and human-in-the-loop checkpoints, organizations can achieve both speed and quality—unlocking more value from existing teams and accelerating customer impact.

  • Automated requirements analysis reduced from weeks to hours
  • Faster software delivery and shorter feedback cycles
  • Improved developer focus on high-value work
  • Human oversight ensures quality and alignment

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