Decision framework
A Physical AI prototype that demos well and never ships has usually failed one of five decisions — and failed it long before the demo. These are the five, in the order they get expensive.
Most industrial AI pilots stall before production, and the common explanation — the model was not accurate enough — is almost never the reason. A prototype is judged on whether it works. A product is judged on what it does when things are not as the prototype assumed: the network is gone, the light is wrong, the operator disagrees, the hardware revision changed, the certification body asks who signed the safety case. None of those are model problems. All of them are decisions, and every one is cheaper to make before the prototype exists than after it works.
Ordered by when the decision becomes irreversible, not by when teams usually get to it. Most teams reach gate 1 last.
Gate 1
When the system cannot do the smart thing, what does it do — and who decided that?
Gate 2
Is your hardware and market variant count a decision, or an accumulation?
Gate 3
What breaks when the environment is not what the demo assumed?
Gate 4
What must be true at full deployment that is not true at pilot scale?
Gate 5
Who signs the safety and compliance case, and when did they start?
Not a maturity score. Each row is a signal you can check this week without instrumenting anything.
| Signal | Not ready | Ready |
|---|---|---|
| Degraded mode | Described as 'graceful fallback' with no named owner | A written behaviour, owned by a named person, tested deliberately |
| Variant count | Nobody can state it from memory | A number, a rationale for it, and a rule for adding one |
| Demo conditions | The demo environment is the only validated environment | Implicit conditions are written down and separately tested |
| Scale assumptions | Operations steps that assume a human looks at each unit | Every recurring step is bounded independently of fleet size |
| Compliance | Compliance is a workstream that starts after feature freeze | An assessor is engaged and the lead time is on the critical path |
These are the decisions that recurred across shipping software inside physical products: 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; and NDS/Cisco video platforms deployed at 100M+ scale. Different industries, the same five questions, and the same pattern of which one gets asked too late.
It does not tell you whether to build the product, and it will not rescue one whose value proposition is wrong — a well-governed programme can ship something nobody wants. It assumes a working prototype already exists. It is a set of questions, not a methodology or a certification, and it is deliberately short enough to use in a single meeting.
A Product Decision Review runs these five gates against your actual prototype and returns a written decision memo — including the gates you have already passed.
Discuss your product decision