How Endava builds an agentic organization with Codex

2026-05-29 · Source: OpenAI News · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Project & Product Management · Depth: Intermediate, short

Summary

Endava, a global software contracting firm operating across Europe, the Americas, and Asia, has adopted OpenAI's Codex to scale senior engineering expertise and transform into an "agentic organization." This approach codifies senior architects' judgment into AI agents, making advanced guidance accessible to junior developers and significantly improving output quality. Endava reports reducing requirements analysis time from weeks to hours, with one instance compressing a complex legal contract review into two one-hour meetings to generate a usable specification. Codex is applied across the entire delivery lifecycle, including requirements analysis, design, specifications, development, and operations, enabling teams to produce design documents and diagrams live in client sessions, accelerating client engagement and ideation.

Key takeaway

For AI Architects or Software Engineering Managers aiming to scale expertise and accelerate project delivery, consider adopting an "agentic organization" model. By codifying senior architects' judgment into AI agents like OpenAI's Codex, you can empower junior developers with real-time guidance, significantly reducing analysis time and improving output quality. Start by integrating AI agents into non-coding workflows such as requirements analysis or client communication to quickly demonstrate value and foster adoption across your development lifecycle.

Key insights

Codifying senior expertise into AI agents like Codex enables organizations to scale knowledge, accelerate delivery, and elevate junior talent.

Principles

• Senior expertise can be codified for scalable guidance.
• AI agents offer broad utility beyond coding.
• Real-time senior guidance accelerates junior development.

In practice

• Start with non-coding workflows like requirements analysis.
• Generate specs from meeting transcripts.
• Create live design documents in client sessions.

Topics

• AI Agents
• Agentic Organization
• OpenAI Codex
• Software Development Lifecycle
• Knowledge Transfer
• Requirements Analysis

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, Software Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.