2023 - 2026
Applied AI Engineering
Hands-on self-study
Applied learning through real systems, expert communities, agent workflows and client/product problems.
- Context engineering
- Knowledge graphs
- Claude Agent SDK
- Python / TypeScript workflows
Liège · AI systems · Automation
Frédéric Lambrechts
AI systems & automation for leadership teams
I help teams turn business context into usable AI workflows: knowledge bases, graphs, automations and go-to-market intelligence.
18+ years MedTech / digitalFull-stack AI & automationTargeted missions · Liège
Experience & selected work
One career line: operator depth, builder execution.
The CV should not sit apart from the proof. The important roles and projects are shown together, with enough detail to understand the work without turning the homepage into a long PDF.
2024 - present 
Independent AI systems work / SuperSwift Full-stack AI Product Builder & Strategic Operator
Building context-first AI systems, automation workflows and MedTech GTM intelligence tooling, with SuperSwift as the primary product proof.
Independent AI systems work / SuperSwift
Full-stack AI Product Builder & Strategic Operator
Building context-first AI systems, automation workflows and MedTech GTM intelligence tooling, with SuperSwift as the primary product proof.
- Design and build full-stack AI workflows across context collection, structured databases, knowledge graphs, extraction pipelines and agentic workflows.
- Develop SuperSwift as a MedTech GTM intelligence system collecting competitors, accounts, KOLs, distributors, job posts, LinkedIn/blog signals and market context.
- Translate scattered commercial, market and operational context into reusable systems that support outreach, account planning, market analysis and decision support.
- Work hands-on across TypeScript, Python, Supabase, Neo4j, n8n/Make-style automation, Claude/OpenAI APIs, Claude Agent SDK, MCP and evaluation patterns.
2022 - 2024 
Osimis CEO / Chief Business Development Officer
Led commercial scale, strategic partnerships and ecosystem positioning for an AI medical imaging distribution platform in Europe.
Osimis
CEO / Chief Business Development Officer
Led commercial scale, strategic partnerships and ecosystem positioning for an AI medical imaging distribution platform in Europe.
- Built and managed strategic partnerships with AI medical imaging algorithm providers and hospital-facing stakeholders.
- Expanded adoption across European hospital networks and helped position the platform as a major distribution layer for radiology AI.
- Worked across go-to-market strategy, vendor relationships, customer development, pricing discussions, partner enablement and operational execution.
- Converted a complex clinical AI ecosystem into practical commercial motions: identifying the right algorithms, buyers, adoption constraints, distributor roles and hospital workflows.
Early career 
Accenture Consulting foundations in structured delivery
Built the consulting foundation behind the operator profile: structured problem solving, transformation work, stakeholder management and delivery discipline.
Accenture
Consulting foundations in structured delivery
Built the consulting foundation behind the operator profile: structured problem solving, transformation work, stakeholder management and delivery discipline.
- Worked in a consulting environment where clarity, scope control, stakeholder alignment and delivery rhythm mattered as much as analysis.
- Developed the habit of turning ambiguous business problems into structured work packages, decision points and implementation paths.
- This remains relevant today: the AI work is not just technical implementation, it is helping leadership teams decide what should be automated, what needs context first and what should not be built yet.
Finance career 
Deutsche Bank / Petercam / BNP Paribas ecosystem Finance, analysis and commercial discipline
Built analytical, commercial and client-facing foundations before moving deeper into software, MedTech and AI systems.
Deutsche Bank / Petercam / BNP Paribas ecosystem
Finance, analysis and commercial discipline
Built analytical, commercial and client-facing foundations before moving deeper into software, MedTech and AI systems.
- Developed financial analysis, client communication and commercial judgment in environments where trust, precision and timing matter.
- Carried that discipline into later MedTech and AI work: understand the buyer, quantify the stakes, and avoid technology for its own sake.
2015 
Le Wagon Full-stack development transition
Moved from operator/commercial roles into hands-on software development, creating the builder foundation for later product and AI work.
Le Wagon
Full-stack development transition
Moved from operator/commercial roles into hands-on software development, creating the builder foundation for later product and AI work.
- Completed Le Wagon full-stack development training: Ruby on Rails, JavaScript, SQL, database design and web application foundations.
- This transition made the later AI/product work practical: not just advising teams, but building actual systems and workflows.
Education & applied learning
Formal foundations, current practice.
Jan - Mar 2015
Full-stack Development
Le Wagon, Batch #7
Ruby on Rails, JavaScript, SQL and database design.
- First cohort outside France
- Product-oriented coding
- Web application foundations
1998 - 2003
Master in Business Administration
ICHEC Brussels
SME and entrepreneurship track.
- Magna Cum Laude
- Erasmus: Germany
- Business foundations
Mission offers
Start small, but properly.
The offer stays deliberately sober: clarify the context, choose one workflow, then build only if the scope is clear enough.
Context-first scoping
A short format to identify the right first workflow, inventory available context and decide next steps without launching a large transformation.
- Priority workflow
- Context / data inventory
- Feasibility and ROI estimate
- Recommended next step
AI workflow sprint
Structure business context and deliver a first usable AI workflow in a few weeks, with human checkpoints and documentation.
- Context base
- Connected automation
- Team handover
- Scope defined after scoping
Advisory / fractional
Help a leadership team turn AI strategy, automation or GTM intelligence into decisions, systems and daily practices.
- Durable AI adoption
- Pragmatic architecture
- GTM intelligence
- Leadership support
Do you have a concrete workflow to clarify? Let's first check whether the context is clear enough.
Get in touchGarden
Useful notes, not filler blog content.
A few texts to explain the context-first approach: French for local leadership teams, English for SuperSwift, MedTech and investor readers.
L'IA ne réussira pas mieux que le dirigeant qui la pilote
Quand j'étais CEO chez Osimis, puis plus tard dans des rôles de business development, j'ai appris une chose assez simple: dans une entreprise complexe...
Durable AI adoption starts with context, not tools
Most AI adoption conversations start with the wrong question: which model, which chatbot, which agent framework, which automation tool? Those choices...
Adopter l'IA durablement : commencer par le contexte
Beaucoup de dirigeants sentent qu'ils doivent faire quelque chose avec l'IA, mais ne savent pas par où commencer. La tentation naturelle est de parti...
IA context-first pour dirigeants
Profitez de l'été pour mettre votre entreprise en ordre de bataille en matière d'IA. Je propose une approche courte et concrète pour dirigeants et éq...
Contact
A workflow to clarify or a mission to scope?
The first conversation is about checking fit, not selling a vague transformation.