AI-Native Engineering Transformation
You bought the AI licences. Now build the engineering organisation that can use them.
I help engineering leaders move from individual AI code completion to an AI-native engineering operating model — spec-driven workflows, reviewer-first quality, and a talent model for the AI era.
The tools aren’t the problem. The operating model is.
Most organisations rolled out Copilot or Cursor expecting faster delivery. Many got unreviewable pull requests, rising technical debt and processes designed for a slower era.
Google’s 2024 DORA research found that a 25% rise in AI adoption was associated with a 1.5% drop in delivery throughput and a 7.2% drop in delivery stability. Getting value from AI takes changes to process, quality governance and skills — not just licences.
Source: Google Cloud DORA, Accelerate State of DevOps Report 2024
Four areas I work on
Process & Workflow
Spec-driven development and agentic workflows, with engineers at the decision points. Agile, evolved for AI-speed delivery.
Quality & Governance
Reviewer-first engineering, test-first verification and guardrails that keep AI-generated code safe, secure and maintainable.
Talent & Skills
Growing engineers into systems thinkers when AI writes the boilerplate — and preparing managers to lead teams of people and agents.
Organisation & Metrics
Leaner team design and outcome metrics — DORA, lead time, change failure rate — that show leadership whether it is working.
Built from the inside, not the sidelines
I have led this change myself — most recently as Head of R&D Transformation & Operations at Nokia.
30+ yrs
in the software industry, the last 17 leading R&D at Nokia / Alcatel-Lucent
200+
strong global R&D organisation that I led
300+
telecom operators running software my teams built and tested
AI tools
enterprise rollout of GitHub Copilot and Cursor, plus AI agents for test design, debugging and more
Three ways to start
2–3 weeks
Readiness Audit
A baseline of how your teams use AI today, and a roadmap to AI-native workflows. Most clients start here.
6–8 weeks
Pilot Transformation Team
One critical team moved to spec-driven, agentic development, with before-and-after metrics as your internal reference case.
4–6 weeks
Academy & Playbook
AI review guidelines, architectural guardrails and training for engineers and managers, built around your codebase.
Where is your engineering organisation on the path to AI-native?
Let’s find out in 30 minutes. No charge, no obligation.