AI Clarity Sprint
A focused diagnosis that turns AI pressure and scattered ideas into a clear, responsible starting point.
Best for: Owners, founders, and SME leaders who see potential but are unsure where to begin.
View detailsIndependent AI implementation partner
Bring order to the chaos of AI.
I help SME owners and teams turn scattered ideas, tools, and pressure into clear priorities, working workflows, and systems their people can actually run.
Why this is different
Most AI advice comes from people who have never had to keep a system running.
I have spent 20 years building and maintaining business-critical software — factory automation, payment engines, energy-sector integrations — where being wrong has real consequences. I bring that same judgment to AI: what is actually useful, what is overblown, and what is worth doing first.
A practical perspective
- 20+ years building and running business-critical software
- A decade embedded in one manufacturing operation — automation, integrations, and migrations
- Re-platformed live systems with zero downtime while production kept shipping
- Introduced AI-assisted development that measurably reduced team cycle time
- Experience across manufacturing, energy, and regulated financial systems
- Based in Bordeaux, working in English, French, and Ukrainian
Colleague feedback
What the people I have worked with say
Feedback from leaders, peers, and people I have led across 20 years of engineering and architecture.
“A rare ability to digest complex technical content on the spot and summarize it into clear, actionable next steps. He consistently takes the initiative to improve workflows — including the opportunities AI brings. Calm in nature, transparent in his communication, and incredibly reliable.”
“His passion for innovation, particularly in AI, is truly remarkable. He shared his learnings and generated excitement about its potential across the team. His efforts directly contributed to increased engineer satisfaction and measurable reductions in team cycle time.”
“A remarkable ability to bring structure to highly ambiguous environments. He excels at designing robust architectures even with vague requirements, and has a talent for translating complex technical strategies into clear, actionable plans for stakeholders.”
Common situations
You may be here because…
- Your team is experimenting with AI, but the activity is not coordinated.
- You can see opportunities, but there is no clear first implementation.
- Data, quality, security, or control concerns are slowing decisions.
- You need a concrete next step, not another general AI presentation.
The method
A clear path from pressure to useful change
- 01
Clarify
Understand the business process and the outcome that matters.
- 02
Diagnose
Find bottlenecks, repetitive work, decision points, and risks.
- 03
Prioritize
Choose the smallest useful workflow with meaningful business value.
- 04
Prototype
Build a working version that the team can examine and improve.
- 05
Operationalize
Add ownership, documentation, quality checks, and handover.
- 06
Enable
Help the team use and improve the system without creating dependency.
Services
Practical ways to move from uncertainty to implementation
Every engagement can start with a free 20-minute fit call. From there, each step is proportionate to the work — from focused diagnosis to hands-on delivery.
AI Workflow Lab
A collaborative engagement to design and build a useful AI-assisted workflow around real team needs.
Best for: Teams that have a promising use case and are ready to learn by building.
View detailsImplementation Partner
Hands-on technical leadership and delivery for a clear opportunity that needs to become a reliable working system.
Best for: Businesses with a valuable opportunity and limited capacity to architect, integrate, and deliver it.
View detailsRelevant experience
Proof grounded in real systems and teams
Engineering AI adoption, end to end
Context
An engineering team was experimenting with AI tools without coordination, and a manufacturing support function had critical knowledge trapped in a few specialists' heads.
Contribution
Introduced AI-assisted development across the team — running internal craft days and playback sessions — and separately designed a knowledge-capture process that fed an integrated service-desk AI agent, from structured interviews through to a working retrieval pipeline.
Why it matters
Useful for organizations that want AI adoption to become a responsible daily practice with measurable delivery impact, not an isolated experiment.
Operational self-service portal
Context
Business users depended on developers for routine configuration changes, creating constant interruptions and a bottleneck on delivery capacity.
Contribution
Helped create a self-service back-office portal that gave operational users direct control within clear system boundaries, covered by integration tests — freeing significant developer capacity over time.
Why it matters
Relevant when a workflow needs to reduce handoffs while preserving reliability and appropriate control.
Manufacturing systems and integrations
Context
Business-critical factory operations depended on dependable automation and connections with external carrier systems.
Contribution
Led vendor selection and a third-party carrier integration, migrating shipping operations off legacy systems with zero downtime — factories continued producing and shipping orders throughout.
Why it matters
Relevant when a proposed AI or automation capability must coexist with established systems and consequential operations.
Regulated and compliance-sensitive systems
Context
Financial, payment, and energy-sector environments required technical change to respect strong operational and compliance constraints.
Contribution
Rewrote a payment engine in a regulated financial domain — cutting processing issues by 95% — and later architected integrations in the regulated Dutch energy sector, where traceability and correctness mattered.
Why it matters
Relevant for businesses that need innovation without treating security, quality, and governance as afterthoughts.
A practical next step
Not sure where AI fits in your business yet?
That is often the right starting point. A focused conversation can clarify whether there is a useful next step worth exploring.
Start a conversation