Physical AI Architect | Forbes Technology Council | French Gov AI Ambassador
Physical AI Architect | Fractional CAIOAI That Ships Intothe Physical World.
70% of AI pilots never reach production. The problem isn't the model — it's the system architecture. I design and deploy AI-native infrastructure for energy, mobility, industry, and physical systems.
Physical AI systems for energy, mobility, industry, and infrastructure.
20+
Years Shipping AI
100M+
Users on Systems I Built
50+
AI Projects Shipped
Trusted by leaders at
Physical AI. Not Physical Hype.
The next $5T of AI value comes from physical systems — factories, grids, vehicles, infrastructure — not chatbots.
17+ years at Cisco, Renault-Nissan-Mitsubishi, and ABB — every role at the intersection of AI and physical infrastructure. I built Auralink: 319 microservices and 27 AI agents autonomously managing EV charging networks. That's the Physical AI Stack™ in production, not on a slide. For European SMEs entering AI for the first time: I created the SME AI Activation Stack™ — 6 stages from AI confusion to AI capability, backed by my role as French Government AI Ambassador and FranceNum Activateur.
Physical AI Architecture. Not Strategy Theater.
The Reality
Sound Familiar?
The Execution Gap: You want AI but nothing is in production
Maybe you've been researching for two years without building. Maybe your pilot impressed the board and then stalled. Either way, the gap between wanting AI and having AI in production is costing you every month.
Strategy Theater: Your AI roadmap is a PowerPoint, not a plan
Vendor pitches fill your inbox. Your team debates ChatGPT over lunch. You paid a Big 4 firm six figures for a deck that's collecting dust. Still no deployed system.
Demo Debt: Your RAG works in demos, crashes in production
The proof-of-concept looked great on Tuesday. Then real users arrived on Wednesday. Hallucinations. 8-second latency. Costs 10x over budget. The demo-to-production gap is a graveyard.
Compliance Blindness: August 2, 2026 is not a suggestion
EU AI Act high-risk requirements take effect August 2, 2026. Fines reach €35 million or 7% of global turnover. You don't even know which of your AI systems are classified as high-risk.
70% of AI initiatives never reach production. For AI controlling physical infrastructure — factories, energy grids, vehicles — the failure rate is even worse. The problem isn't the model. It's the system architecture. For enterprises: the Physical AI Stack™. For European SMEs taking their first AI step: the SME AI Activation Stack™.
Your Challenges
What's Blocking Your AI?
Organized by urgency. Pick the problem that keeps you up at night.
The Method
The DEPLOY Method™
70% of AI projects die between pilot and production. The DEPLOY Method was built at Cisco, Renault-Nissan-Mitsubishi, and ABB — organizations where a pilot without a production date gets killed, not extended.
Diagnose
You get clarity on what's actually broken. Most AI projects don't fail because of technology. They fail because objectives are unclear, stakeholders are misaligned, or expectations were set by a vendor demo. Week one: we name the real problem.
Engineer
You get an architecture that survives contact with real users. Build-vs-buy decisions grounded in your team's actual capabilities. Security and governance designed in from day one — not bolted on when the auditor calls.
Pilot
You test fast, learn fast, and decide fast. Every pilot ships with graduation criteria written before the first line of code. If the pilot can't meet them in 90 days, we kill it and save the budget. 'Permanent experiment' is a disease.
Launch
You ship to real users with real data. This is where most AI consultancies disappear — they hand over a deck, wish you luck, and send the invoice. I stay until the system handles production traffic.
Optimize
You get a system that improves after I leave. Evaluation frameworks, feedback loops, monitoring dashboards, and retraining pipelines. Production is the beginning of the value curve, not the end of the project.
Yield
You own the capability, not me. Knowledge transfer. Documentation your team actually reads. Training that sticks. My success metric is that you never need to call me again for the same problem.
Named Villains I Help You Kill
These five failure modes kill 70% of AI initiatives. Name them to defeat them.
The Execution Gap
“Two years of planning, or 18 months of 'almost ready.' Either way, nothing in production.”
Every initiative gets production criteria and a 90-day clock. Ship or pivot.
Demo Debt
“Works in the demo room. Crashes when real users arrive.”
Architecture designed for production load from day one. No demo-quality shortcuts.
Strategy Theater
“A six-figure deck gathering dust on a shared drive.”
Strategy sprints that end with deployed systems, not PowerPoint deliverables.
Compliance Blindness
“August 2, 2026 arrives. You haven't inventoried your AI systems.”
EU AI Act readiness built into every engagement. Governance from day one.
Vendor Lock-In
“Your entire AI stack depends on one US provider. Their pricing changes. Their API changes. You have no plan B.”
Built on Mistral AI — Europe's sovereign AI champion. Full data residency in the EU. No dependency on US big tech for your core AI capabilities.
How We Work Together
Engagement Models
Pick the model that matches your urgency. Every engagement ends with a deployed outcome, not a deliverable.
01
Strategy Sprints
Fixed-scope, fixed-price. You get answers in weeks, not quarters. Ends with decisions, not more questions.
- AI Value Map — 2 weeks
- EU AI Act Gap Analysis — 3 weeks
- Production AI Audit — 1 week
02
Ship-to-Production Projects
Your AI moves from pilot to production with defined milestones. 90-day clock. Ship or pivot.
- RAG Pipeline Optimization
- Agent Development & Deployment
- LLMOps Infrastructure Build
03
Embedded AI Leadership
A fractional CAIO who embeds in your team 2-3 days per week. Owns the AI roadmap, unblocks the team, reports to the board.
- Fractional CAIO — 2-3 days/week
- Interim AI VP — full engagement
- AI Engineering Lead — hands-on
04
Team Capability Transfer
Your team learns the methods, not just the theory. I leave, your capability stays.
- Executive AI Decision-Making
- AI-Augmented Development Methods
- Production AI Engineering
Why This Works
One Partner. Strategy Through Production.
Most AI consultants either advise or build. They don't do both. I spent 17+ years doing both — at Cisco, Renault-Nissan-Mitsubishi, and ABB. Then I built 8 AI ventures to prove the method works independently. That combination is why clients don't need to hire three different firms.
01
Strategy
I've Set the Direction
- Forbes Technology Council Member — published AI strategy reaching 100K+ readers
- French Government AI Ambassador — national industrial AI acceleration
- Berkeley SkyDeck Advisor — 30+ AI startups mentored
- AI strategy tied to P&L, not technology trends
“AI strategy is worthless if it doesn't connect to business metrics. Every roadmap I build ties directly to revenue, cost reduction, or competitive moat — because that's what boards fund.”
02
Product
I've Owned the Outcome
- Deputy GM at Renault-Nissan-Mitsubishi Alliance
- €250M program — Product Management for 20 vehicle launches
- Connected services shipped to 4M+ users across 39 countries
- World's first Google-built-in vehicle head unit
“I've sat in the chair you're sitting in — owning the budget, facing the board, managing the politics. I know what stakeholder alignment costs because I've paid that price.”
03
Code
I've Shipped the System
- AuraLinkOS: 319 microservices, 27 AI agents — built in 2 months
- Production RAG systems, fine-tuned models, open-source LLM deployment
- Systems at Cisco scale — 100M+ users in production
- 8 AI ventures built and shipped, not imagined
“When your engineering team says 'it can't be done in that timeline,' I can evaluate that claim because I've done it. I speak your developers' language because I write their code.”
04
Transformation
I've Led the Shift
- Software-Defined Vehicle transformation at Renault-Nissan-Mitsubishi
- Software-Defined Power strategy at Schneider Electric
- Software-Defined Charging platform — AuraLinkOS
- Same transformation methodology applied across 3 industries
“Software-defined transformation fails when companies treat it as a technology project. It's an organizational shift. I know where the hidden resistance lives because I've fought through it three times.”
This four-layer depth — strategy, product, code, and transformation — means one partner replaces the strategy consultancy, the implementation firm, and the interim executive. That's not efficiency. That's coherence.
Why Hyperion
Ships vs. Advises
Senior expertise. No vendor bias. AI in production, not in PowerPoint.
15+
Years Shipping AI
You Work With the Decision-Maker
No junior analysts. No delegation. Every hour is direct senior expertise from Cisco, Renault-Nissan-Mitsubishi, and ABB. When I say 'I've shipped this before,' I mean I wrote the code, managed the budget, and presented to the board.
319
Microservices Shipped
I Advise and Build — Most Only Advise
I built AuraLinkOS: 319 microservices and 27 AI agents in 2 months. That typically requires a 25-person team and 2 years. When I review your architecture, I'm not guessing. I'm comparing it to systems I built last quarter.
€0
In Vendor Kickbacks
Built on Mistral. No US Lock-In.
While most consultants default to OpenAI or Google, I build on Mistral AI — Europe's sovereign AI champion. Your data stays in the EU. Your AI stack doesn't depend on US big tech. I also deploy open-source models when they fit. Zero vendor kickbacks. Zero referral fees. The right tool for your problem, not for my margin.
90
Days to Ship
You Own the Capability. I Leave.
My success metric is that you never need to call me again for the same problem. Every engagement includes knowledge transfer, runbooks, and hands-on training. I build your team's capability, then I get out of the way.
Proof, Not Promises
Talk is cheap. Here's what I built — all on Mistral AI: AuraLinkOS — a full EV charging platform (319 microservices, 27 AI agents). Athena AI — a business operating system. Aegis AI — an EU AI Act compliance engine. Achilles AI — an AI code security scanner. Kairos VC — a venture due diligence platform. Techne AI Studio — a creative AI toolkit. Vectis AI — a vehicle intelligence system. EU AI Navigator — an SME compliance navigator. Eight ventures. All shipped. All in production. All running on European AI infrastructure. That's the gap between advising on AI and building AI.
Domain Depth
Industries Where I've Shipped
Not theoretical expertise. Production systems in sectors where failure has consequences.
Automotive & Mobility
Connected vehicles, EV charging, software-defined vehicles
What You Get
Connected vehicle AI platforms for 4M+ users
EV charging software (AuraLinkOS — 319 microservices)
Android Automotive integration (world's first Google-built-in)
Fleet management AI with real-time telemetry
See Relevant Experience
Led NissanConnect Services across 39 countries. Built AuraLinkOS EV charging platform from zero to production.
Track Record
Institutional Recognition
Not self-proclaimed expertise. Recognized by governments, institutions, and industry bodies.
Forbes Technology Council
Member since 2021. Published thought leadership reaching 100K+ readers on AI strategy, production deployment, and the pilot-to-production gap.
French Government AI Ambassador
Selected for the national 'Osez l'IA' initiative. Mandate: accelerate industrial AI adoption across French manufacturing and enterprise.
Berkeley SkyDeck Advisor
Key Advisor since 2022. Mentored 30+ AI and deep-tech startups on product-market fit, go-to-market, and engineering architecture.
La French Tech Athens Board
Board member bridging French-Greek technology ecosystems. Building cross-border European AI collaboration.
Senior Executive AI ThinkTank
Member of the Senior Executive AI ThinkTank. Contributing to enterprise AI adoption frameworks and C-suite decision-making standards.
FranceNum Activateur
Referenced expert by France Num, the French government's national initiative to accelerate SME digital and AI adoption.
Shipped at Enterprise Scale
Ships vs. Advises
How Hyperion Compares
An honest comparison. Including when to choose someone else.
Traditional Consulting
Hyperion
Strategy deck → handoff → good luck
Strategy → Architecture → Code → Production
Ends at recommendations. Sends invoice.
Ends at deployed system. Transfers capability.
"Here's what you should do."
"Here's what I built. Your team can run it."
Traditional Consulting
Hyperion vs. Big 4 / McKinsey / BCG
Hyperion Advantage
You work with me directly — not junior analysts supervised by a partner who appears quarterly. I both advise and build: 319 microservices shipped, not slide decks delivered. 3-5x more cost-effective. 10x faster to production.
When to Choose Alternative
When you need 50+ consultants on parallel workstreams across multiple business units simultaneously.
US Technology Vendors
Hyperion vs. AI Vendors (OpenAI, Google, AWS)
Hyperion Advantage
I build on Mistral AI — Europe's sovereign AI champion — so your data stays in the EU and your AI stack isn't dependent on US big tech pricing changes. Zero commercial partnerships with any vendor. When open-source Llama or a cloud-specific model fits better, I deploy that instead. My loyalty is to the right architecture, not a vendor quota.
When to Choose Alternative
When you've already committed to a specific US platform and need deep implementation certification for that vendor's proprietary stack.
Internal Build
Hyperion vs. Building In-House Team
Hyperion Advantage
Hiring a senior AI leader takes 6-12 months and carries risk if the hire doesn't work out. I provide immediate expertise with a 17+ year track record. Every engagement includes capability transfer — your team becomes self-sufficient.
When to Choose Alternative
When you have ongoing AI needs that justify a permanent senior team and can wait 6-12 months to hire.
Smaller Firms
Hyperion vs. Boutique AI Consultancies
Hyperion Advantage
17+ years at enterprise scale (Cisco: 100M+ users, Renault-Nissan: 39 countries) plus hands-on building. Plus Auralink: 319 microservices, 27 AI agents in production. Most boutiques advise only. I shipped 319 microservices and 27 AI agents. The difference shows in the architecture review.
When to Choose Alternative
When you need multiple dedicated full-time resources on a single project for 6+ months.
Cost-Optimized Delivery
Hyperion vs. Offshore Development Teams
Hyperion Advantage
European-based. GDPR-native. EU AI Act expertise built in. Same timezone, no communication friction, direct access to the decision-maker. No 12-hour feedback loops.
When to Choose Alternative
When budget is the primary constraint and you have strong internal technical leadership to manage offshore coordination.
Hyperion Consulting is the right choice for European mid-market and enterprise companies that need senior AI expertise bridging strategy and production — built on Mistral AI and European infrastructure, without consultancy overhead or US vendor lock-in.
Frequently Asked Questions
Three concrete differences: (1) You work with me directly — no junior analysts doing the work while a partner shows up quarterly. (2) I both advise and build — 319 microservices and 27 AI agents shipped, not slide decks delivered. (3) 3-5x more cost-effective — no analyst teams, no consultancy overhead, every hour is senior expertise. The test: ask your current consultancy to show you code they shipped. I'll show you eight production ventures.
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Close the Execution Gap
Get AI Into Production in 90 Days
Book a 30-minute diagnostic call. I'll tell you exactly what's blocking your AI, whether I can help, and what it would take. If we're not the right fit, I'll tell you who is. No pitch. No pressure. Just clarity.
Join the European companies that stopped experimenting and started shipping.