M
Meaning
What real problem are we solving?
MAKIA LABS · AI training and adoption for teams
AI your teams use on Monday morning. And keep using.
We train your teams on ChatGPT, Claude, and Gemini using their real work, not demos. Then we keep it running long after the session, so AI becomes how your teams work, not a badge on a CV. 60% hands-on. Measured outcomes.
Deployed at 30 industrial SMEs · 2025 to 2026
−30%
Operational costs
+15%
Revenue activities
+5h
Saved per manager / week
Averages observed by Makia Labs across 30 industrial SMEs (2025–2026). Varies with adoption depth.
OUR METHOD
Five steps. None of them skipped.
From mapping to adoption, a linear journey built for operational teams.
- 01MMap
Map real usage and friction points.
- 02AActivate
Spark the first high-value use cases.
- 03KKickstart
Quickly prototype: Project, GPT, Gem.
- 04IIterate
Learn from the field, adjust, measure.
- 05AAdopt
Embed into practice. Internal usage charter.
OUR COMPASS
Five questions before you deploy.
We never train on a tool without answering these five questions first.
A
Actors
Who will use it, and who decides?
K
Knowledge
What data, what expertise?
I
Impact
How do we measure the value created?
A
Alignment
Aligned with your culture & GDPR?
This filter eliminates 80% of 'AI-for-AI's-sake' projects. We keep the 20% that actually create value.
TAKE THE TEST
Want to see where your team stands on these 5 dimensions?
The MAKIA audit: 25 questions, 5 minutes, a personalised report by email. Free, no strings attached.
GDPR-compliant · Data stored in the EU
SERVICES
A three-step journey.
Understand, deploy, anchor. We meet you where you are — not somewhere else.
PHASE 01
Understand
See clearly before committing budget.
PHASE 02
Deploy
Move to execution on real work.
PHASE 03
Anchor
Make it last, six months after training.
01
Understand
See clearly before committing budget.
AI Readiness Audit
2 weeks. Interviews with your teams, mapping of priority use cases, AI maturity scoring against the MAKIA framework, then a 30/60/90-day roadmap with estimated ROI.
Explore the auditExecutive briefings
2h with your exec team or board. What really changes in your sector, what's just hype, risk framing (GDPR, sovereignty), and concrete recommendations on 2026 AI budget.
Explore the briefingsIA Café
30 minutes. No slides. We look at one of your use cases and tell you what we'd do. Free, no strings attached.
Book an IA Café02
Deploy
Move to execution on real work.
Custom in-house trainings
1 to 5-day programs tailored to AI literacy: fundamentals of generative AI, prompt engineering, ChatGPT / Claude / Gemini, then use cases specific to each team. 60% hands-on.
Explore the trainingsPrototype sprints
1–2 weeks to go from idea to a working Project / GPT / Gem: scoping, system prompt, integration of your data, iterations with end users, handover of a version tested in real conditions.
Explore the sprints03
Anchor
Make it last, six months after training.
MAKIA Ancrage
The monthly subscription that keeps your AI alive across every team: adoption barometer, prompt maintenance, quarterly reviews, onboarding for new joiners.
Discover MAKIA AncrageBest fit: 20–250-person industrial SMEs whose teams already pay for AI tools but underuse them.
TOOLS WE COVER
- Claude
- ChatGPT
- Gemini
- NotebookLM
- Notion AI
- Make
- Zapier
- n8n
- Lovable
- Dust
Most importantly, we teach you how to choose between them.
TRUSTED BY
Industrial SMEs, Innovative Startups, Public Sector.
CASE STUDY · 01 / 04
Cayrol Energie — Energy · Photovoltaic & hydroelectric · Frontignan
1-day training, May 12, 2026. Leadership & engineering. MAKIA framework applied to meeting notes, client emails, and tenders.
EnergyIndustryPublic sectorEducationAgricultural cooperatives
ABOUT
One standard: it has to work on Monday morning.
Makia Labs started from one observation: most corporate AI trainings stop at the demo. Teams leave impressed and… change nothing. Our MAKIA framework and CRAFT prompt method (Context · Role · Action · Format · Tone) are built for the opposite: you leave the room with working prompts, a configured Project, and a 90-day plan.
Research-grounded, active pedagogy, and one stated bias: we'd rather find one use case that saves 30 minutes a day than show ten slides about the singularity.
FOUNDER
Maria Angel Ferrero
PhD Innovation Management · Design Thinking Expert · AI Educator
10+ years of research in innovation, creativity, and digital transition. Built the MAKIA framework and AI fluency programs for students, startups, and executive teams.
AI FOR SMEs
Generative AI for SMEs: where to start without burning six months
We work with industrial, energy, agricultural and public-sector SMEs that want to move from « we tried ChatGPT » to real, measured, GDPR-compliant use cases. No talk of disruption — use cases that save hours from the following week.
Audit my AI readinessAI for SMEs: a framework, not another tool
Before buying a licence, we run your AI ideas through the MAKIA filter (Meaning, Actors, Knowledge, Impact, Alignment). 80% of « AI-for-AI's-sake » projects stop here. The remaining 20% show measurable ROI within 90 days.
AI training for companies: 60% hands-on, your real work
One day, 7 modules, 6.5 effective hours on your teams' actual meeting notes, client emails, tenders and technical documentation. You leave the room with prompts that work — not another PDF.
Tools chosen, not stacked
ChatGPT, Claude, Gemini, NotebookLM, Notion AI, Otter. We teach you how to choose between them per use case and stay sovereign over your data (GDPR built into the scoping phase).
Outcomes observed across 30 industrial SMEs
−30%
on certain operational costs
+15%
on revenue-generating activities
+5h
freed per manager / week
Averages observed by Makia Labs across 30 industrial SMEs (2024–2026). Varies with adoption depth.
FREE TOOL
Your AI SME checklist: 10 questions before you invest
Download a practical checklist built on the MAKIA framework. Every box ticked = one risk avoided and a budget better spent.
- —10 concrete questions (Meaning, Actors, Knowledge, Impact, Alignment)
- —Quick score: know whether you're ready to launch
- —GDPR, governance, test before buying: nothing is forgotten
- —Printable text file to share with your team
WHITEPAPER · FREE
Generative AI in SMEs: what works, what doesn't.
In February 2025, AI training became a legal duty across the EU. Most SMEs haven't noticed. This 32-page playbook explains what changed, what to do about it, and how the MAKIA framework filters the 80% of AI projects that don't belong in your business from the 20% that do.
FAQ
Frequently asked questions
What is the MAKIA framework?
Five questions asked before any AI deployment: Meaning, Actors, Knowledge, Impact, Alignment. The filter rules out 80 % of 'AI-for-AI's-sake' projects and keeps the 20 % that create real value.
How long does an AI training take?
From ½ to 5 days depending on level and depth. Most SMEs start with a 1-day intensive (7 modules, 6h30 effective, 60 % hands-on).
Is ChatGPT GDPR-compliant for French companies?
Yes, provided usage is framed: Team or Enterprise tier (not the personal version), training on conversations disabled, internal usage charter, and sensitive data excluded. This is exactly what a Makia training puts in place.
How is this different from generic AI training?
60 % of the time, participants work on their own real files (meeting notes, emails, tenders). No demos. And every use case goes through the MAKIA filter so nothing is wasted.
What results can we expect?
Averages observed across 30 industrial SMEs (2024–2026): −30 % on some operational costs, +15 % on revenue-generating activities, +5 h freed per manager per week. Varies with adoption depth.
Let's talk about your AI adoption.
30 minutes. No slides. We look at one of your use cases and tell you what we'd do.