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Dava.Flow

Endava’s AI-native engagement system for faster, safer and more accountable change in the AI era.

Dava.Flow is how Endava delivers change at speed – with governed control. It’s an AI-enabled engagement methodology that connects every idea, feature and fix in a single, continuous flow – across four AI-enhanced phases: Signal, Explore, Govern and Evolve.

 

By combining agentic automation, built-in governance and human oversight, Dava.Flow shortens release cycles, improves quality and gives clients clear evidence of progress and value.

 

Used today across industries from financial services to mobility, it typically reduces time-to-market by up to 40 per cent while telemetry and traceability increase confidence in every release.

Engineers collaborating on robotics programming at night with laptops and electronic components.

Treating change as a constant – not a project

At the core of Dava.Flow is the Change Delivery Lifecycle – the control layer that governs how work moves from idea to value.

 

Each update passes through the four connected phases of Signal, Explore, Govern and Evolve, ensuring each step is traceable and data-driven.

 

Automation enforces compliance and quality checks within the workflow, while human experts review key decisions.

 

Instead of manual stage-gates, the CDLC uses live telemetry to release changes safely and continuously – turning delivery into a reliable, auditable rhythm.

  • A continuous, AI-enabled pipeline compresses the journey from concept to value.

  • A product mindset drives perpetual evolution instead of one-off projects.

  • Built-in governance replaces manual sign-off with continuous, verifiable assurance.

  • Real-time metrics track speed, quality and value delivered.
  • Every phase leaves an evidence trail clients can see and trust.
AI-native delivery

How we move beyond pilots

Many organisations have experimented with AI in isolated use cases.

Dava.Flow takes the next step - embedding AI across delivery so gains scale predictably. Our enablement programmes train teams to work confidently with agentic tools, while policy-in-pipeline controls keep governance consistent.

Results are measured continuously through telemetry, providing visibility of quality, speed and ROI.

Clients move from proof-of-concept to production in weeks, not quarters – building AI capability that grows stronger with every release.
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Turning Dava.Flow from method into measurable results

Teams are using Dava.Flow to accelerate releases, cut delivery risk and increase value realisation. By combining AI-enabled workflows with built-in governance, clients are achieving faster time-to-market and higher quality without compromising control.

 

Every engagement adds new evidence: shorter cycle times, fewer defects and measurable uplift in business outcomes.


Learn more about how Dava.Flow works and how it's making an impact in this fireside chat with CTO Matt Cloke.

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See how Dava.Flow helps organisations deliver governed AI-native change — faster, safer and with measurable results.

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