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Endava entwirft Software-Lieferung rund um Agentic Workflows neu

Durch die Einbindung der OpenAI-Technologie in die DavaFlow-Methodik geht Endava über die einfache Codierungshilfe hinaus zu einem KI-nativen Betriebsmodell.

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Matthew Cloke, CTO of Endava, views a lack of background agents as a waste of time.

As Endava scales AI across its 11,000-person global workforce, the company has moved beyond simple developer productivity to a complete redesign of its software delivery lifecycle. This transformation is centered on DavaFlow, an AI-native delivery methodology where OpenAI technology is embedded in every stage, from initial meeting preparation and business planning to product discovery, engineering, and deployment.

Moving Beyond Engineering Output

When Endava first introduced AI-assisted coding, the company quickly realized that engineering output was no longer the primary bottleneck. Requirements gathering, business analysis, planning, and stakeholder coordination all needed to move at the same speed as the code. This realization led to the creation of DavaFlow, which integrates OpenAI technology into the entire lifecycle to ensure that non-engineering workflows do not stall technical progress.

This shift extends far beyond the development team. Legal teams use AI to streamline research and documentation, project managers utilize Codex to generate governance reports, and commercial teams have replaced spreadsheet-heavy planning with lightweight, AI-generated applications. In one instance, employees bypassed traditional spreadsheets entirely to build a single-page pricing application that teams could interact with immediately.

AI as the Enterprise Operating Model

For Endava, AI is transitioning from a productivity layer to the actual operating model of the organization. Leadership teams now use agents to summarize projects, automate communications, and manage work asynchronously. This integration has enabled teams to build internal tools and applications without requiring dedicated engineering support, effectively democratizing software creation across the company.

As a long-term OpenAI partner, Endava is now looking toward the next phase of enterprise AI: orchestration. This involves combining reasoning models, agents, and human expertise into integrated systems that fundamentally reshape how organizations operate. The goal is to move from individual tools to complex, orchestrated workflows that serve as the foundation for all enterprise activity.


Source: How Endava is redesigning software delivery around AI agents
Domain: openai.com

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