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
Choose a direction. Move an initiative forward. Fill a leadership gap.
For founders, product leaders and industrial business leaders who need advice on product choices and priorities, or leadership of agreed work.Physical AI, Industrial AI and software-defined products. AI is not a requirement.
Founder-led product leadership for Physical AI and Industrial AI · Based in Delft · Working across Europe
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 needs a decision. You want an independent view, or an experienced adviser as the questions evolve.
Initiative leadership
A product or operational initiative needs clearer priorities, a practical plan and someone to lead the next agreed milestone.
Senior / Principal Product Lead
Product leadership
Product decisions span teams, but senior product leadership is missing or temporarily unavailable.
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 operationsWork 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 Auralink
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
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.