Establish ambition, assess readiness and prioritise value pools, risks and use cases.
AI Adoption Journey
From assisted work to governed agentic operations
AI adoption is an operating-model change, not a tools rollout. The journey moves from secure copilots to industrialised GenAI use cases to bounded agentic workflows — reshaping processes, roles, controls and cost structures at each step.
The five-stage model
Discover → Assist → Generate → Orchestrate → Scale
A controlled path, not a leap. Each stage adds capability, reshapes the operating model, and raises the governance bar.
Deploy secure AI copilots for search, analysis, documentation and everyday productivity.
Industrialise GenAI use cases across development, support, testing, knowledge and business processes.
Introduce bounded agents that plan and execute multi-step workflows with human oversight and traceability.
Embed agentic capabilities into the operating model, platforms and governance while continuously measuring value.
What I help you build
The offering, from value architecture to agent governance
AI strategy & value architecture
Ambition, value pools, use-case portfolio and investment logic — the case before the code.
Readiness & maturity assessment
Data, platform, workforce and governance readiness, benchmarked against where you want to be.
Use-case factory
Qualification, pilot, industrialisation and value measurement as a repeatable practice — not one-off experiments.
Agentic operating model
Human–agent workflow design, bounded autonomy, escalation and clear accountability.
Agent governance & design authority
Approved patterns, decision rights and lifecycle controls — a control plane, not a free-for-all.
Agent identity & access
Treating agents as privileged non-human identities: least privilege, continuous verification.
AI FinOps
Cost transparency and unit economics for inference, training and AI-infused applications.
Responsible AI
Security, privacy, IP, compliance, human-in-the-loop and audit traceability by design.
Adoption at scale
Sponsorship, role-based learning, communities and change networks that make it stick.
Why this is different
I am not reselling a platform. My job is to keep you out of the cohort that scales agents faster than it can govern them.
Proof point · INETUM
Scaling AI-enabled delivery in production
Leading Agentic, GenAI and Lean Management initiatives across banking and energy accounts — optimising real delivery processes and feeding them back into the IT operating model, not a lab.
What's driving 2026
The pressures shaping every AI programme
End of pilots
Show value, modernise the base
The era of isolated pilots is over. CIOs are under pressure to show measurable value and to modernise infrastructure for a "silicon workforce".
Architecture risk
Agent sprawl needs a control plane
Siloed agents are becoming an architectural risk. The emerging answer is a unified control plane — centralised orchestration plus full observability and traceability.
Executive liability
Weak governance is now a liability
Inadequate agent governance is being modelled as real executive exposure — lawsuits, fines and CIO dismissals — not a theoretical risk.
Specialisation
Domain models beat general ones
Domain-specific models are outperforming general models for regulated, specialised use cases.
Binding constraint
Workforce readiness, not model capability
The binding constraint on AI returns is workforce readiness — the people, not the model.
Economics
Inference costs are underestimated
AI infrastructure and inference costs are systematically underestimated — which is why FinOps now belongs on the AI agenda.
Self-assessment
Where are you: Discover, Assist, Generate, Orchestrate or Scale?
Five questions, one honest read of your AI maturity. No email required — your answers stay in your browser.
From lab to line
AI that ships — in banking and energy delivery
Agentic, GenAI and Lean initiatives feeding real delivery processes back into the operating model, not a proof-of-concept slide.
Next step
Turn AI ambition into a governed capability
Bring your read from the self-assessment — we'll map the shortest safe path to the next stage.