Fictional worked example
A product decision made tangible
An industrial example shows how evidence, economics and delivery constraints inform a recommendation.
Open the worked decisionPRODUCT MANAGEMENT FOR PHYSICAL AI & INDUSTRIAL AI
Connect business, research and engineering.
For industrial technology leaders: define the product, connect software and hardware, and lead the work.Physical AI, Industrial AI and software-defined products. AI is not a requirement.
Founder-led product leadership · Based in Delft · Worldwide, with an EU focus
Schneider Electric · Client engagement
Founder’s career
Founder’s career
Founder’s career




AI Ambassador · Osez l’IA
Key Advisor · Berkeley SkyDeck
Board member · La French Tech Athens
FranceNum Activateur
Ways to work together
Advice while your leaders stay in charge, or an agreed leadership role for an initiative or your product function. In every case, I help you make decisions.
Advice
A product, platform or AI investment is waiting on a decision.
Initiative leadership
An industrial product or AI initiative needs a clear next milestone and someone to lead it.
Senior / Principal Product Lead
Product leadership
Product decisions span teams, but senior product leadership is missing.
You can start with any option. A Decision Review is never a prerequisite. Scope, responsibilities and fees are agreed before work starts.
Developing a product and improving an existing operation call for different work. Start with the context that matches your situation.
For founders and product leaders developing connected or software-defined products and platforms, robots or intelligent equipment. Clarify customer value, roadmap choices and the work needed for launch.
Physical AI product workFor operations leaders and industrial business owners working on maintenance, quality, technical service or planning. Start with one workflow, its users and the owner of adoption. AI may or may not be the answer.
Industrial AI in operationsOpen models, confidential data and controlled actions. Mohammed connects the business case to the model, architecture and operating decisions—from startup to enterprise, worldwide with an EU focus.
Select, configure and adapt Mistral, Qwen, DeepSeek and other suitable models. Build retrieval and agentic systems around your workload, data boundary and hardware.
Threat-model the AI system, protect confidential data and constrain agent permissions. Define evidence for model integrity, safe integration and recovery.
Shape AI-assisted security products and analyst workflows. Evaluate detection, triage and investigation against error costs, human oversight and operational value.
Work you can inspect
Inspect a product decision, follow the method behind it, and explore Hyperion’s research.
Fictional worked example
An industrial example shows how evidence, economics and delivery constraints inform a recommendation.
Open the worked decisionProduct System method
The Product System connects each decision to evidence, an owner, acceptance criteria and the next checkpoint.
Explore the Product SystemPublic research reference · Hyperion-authored
Auralink is a Hyperion-authored Physical AI research reference. Inspect the architecture, control boundaries, operational decisions and evaluation approach behind the method.
The research record sets out the architecture, assumptions and current limits.
Inspect AuralinkShared-resource coordination · local controller authority

You work directly with Mohammed — a product leader across connected platforms, mobility, industrial systems and AI, now focused on Physical AI and Industrial AI.
17+ years
Deputy General Manager, Connected Car Services at the Renault-Nissan-Mitsubishi Alliance — product leadership on connected-services programs (Renault OpenR Link, NissanConnect), technology now deployed in 7M+ connected vehicles
A 64-person Product Management / Product Owner function, up to 40 direct reports, a 96-person product organisation and a €25M programme budget at Renault-Nissan-Mitsubishi. Attested by the founder, Mohammed Cherifi, on 10 October 2026, from his own employment record; not independently verified.
product marketing at ABB E-mobility on EV-charging hardware and charging software
Selected Insights
From research to a product decision
Research finding
What does the evidence establish?
Operating conditions
Where must the capability work?
Product decision
What should the team commit to next?
AI & Product Management · Flagship
A vendor-independent decision guide for choosing the role, authority, evidence and lifecycle of world models, VLAs, robot policies, simulators and independent monitors.
By Mohammed Cherifi · September 5, 2026
AI & Product Management · 15 min read
A product decision guide to exposure, intervention, recovery, memory, generalization, learning from experience and cost per successful outcome.
Deep Tech · 6 min read
Classify an AI product by the authority it receives, the environment it changes and the evidence it needs—not by the model family in its architecture diagram.