Observed Signal · Jun 4, 2026 · Partnership · Source: OpenAI Blog · Impact: 3/5 · Sentiment: Positive
Endava Redesigns Software Delivery Around AI Agents
Endava, a global technology services company, has embedded OpenAI technologies (ChatGPT Enterprise and Codex) across its software delivery lifecycle—branded internally as DavaFlow—and into non-engineering functions such as legal, finance, project management and commercial teams. CTO Matthew Cloke describes a shift to agentic workflows and AI-first behaviors, where AI agents assist requirements gathering, planning, reporting and day-to-day operations. The company (~11,000 employees) reports faster software delivery, reduced manual reporting, broader internal tool creation without dedicated engineering, and AI fluency becoming part of hiring and promotion expectations. Endava positions itself as a long-term OpenAI partner and says the next phase is orchestration: combining models, agents, workflows and human expertise into integrated enterprise systems.
Demonstrates enterprise-scale adoption of LLMs and agentic workflows beyond engineering into business functions; signals a trend toward orchestration of models and agents that could influence enterprise MarTech and automation practices.
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Key Takeaways & Evidence Grounding
- Endava selected OpenAI as its enterprise AI platform and provided employees access to ChatGPT Enterprise and Codex.
- Endava embedded OpenAI technology across its DavaFlow lifecycle, from meeting prep and product discovery to engineering and deployment.
- AI adoption expanded beyond engineering into legal, finance, project management and commercial teams.
- Endava reports accelerated software delivery and reduced manual reporting through AI-assisted workflows and agents.
- Endava has an 11,000-person global workforce and describes itself as a long-term OpenAI partner focused on model/agent orchestration.
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Endava Builds Agentic Organization Using Codex
Endava, a global software contracting firm, has adopted Codex to codify senior engineering judgment into AI agents that work across the client engagement lifecycle. Company leaders say Codex improved output quality, accelerated collaboration between senior and junior engineers, and compressed multi-week analysis and specification tasks into hours. Endava describes itself as an "agentic organization," using Codex as a desktop agent for requirements analysis, design, specification, development and operations. A cited example: a two-hour recorded meeting fed to Codex produced a working requirements specification, reducing what normally took weeks of back-and-forth to two one-hour meetings.
OpenAI: AI-native firms turn workflows into operating capability
OpenAI's latest Enterprise Signals data shows enterprise AI shifting from assistance to execution, with top 10% 'frontier' AI-using firms now generating 8.3x more output tokens per active user than typical firms, up from 2.6x in January. The article profiles three startups applying AI agents to real workflows: Basis (AI agents for accounting firms) cut first-day onboarding from two hours to 30 minutes using OpenAI's Codex; Clay (a revenue engine for go-to-market teams) uses persistent workspaces and subagents to save about an hour of daily inbox triage; and Exa Labs (web search infrastructure for AI agents) automated its developer integration workflow with Codex. OpenAI outlines six steps for scaling these agentic workflows, including defining measurable outcomes, writing agent job descriptions, and building human oversight. The core message: leading firms are connecting agents to company context and tools to automate substantive work end-to-end.
OpenAI's Agentic Software Factory: Codex Agents Take Over Dev Workflows
A visit to OpenAI reveals that its internal coding agent, Codex, has become the backbone of software development and broader workflows. Since January, adoption across non-engineering teams surged from near zero to 90%, driven by improved long-running task handling and awareness. OpenAI has built an 'agentic software factory' where Codex agents handle context gathering, code implementation, CI/CD, code review with domain-specialized agents, deployment handholding, and incident response via Sevbot. The shift has led to a 10x increase in CI/CD load, a rethinking of pull requests and code reviews, and a move towards agents with judgment and agency. The article also notes that IDE usage has declined, and native mobile app deployment remains a bottleneck due to app store review processes.
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