Proof of concept: definition, process and limits
Definition
A proof of concept, PoC for short, tests in a tightly bounded frame whether an AI idea works technically and functionally. It answers a clear feasibility question with real data, without building a finished system yet. A good PoC has success criteria defined in advance, so the result is unambiguous and carries the decision on the next step.
Why the Term Matters
Many AI initiatives fail because a full solution is funded too early. The proof of concept inserts a cheap check and answers the core question before large budget flows. As a neutral advisor we set the success criteria beforehand, so a PoC does not run endlessly. That creates a solid basis for a clear yes or no on delivery.
When It Is Relevant
- The feasibility of an AI idea is unclear and must be proven.
- A larger investment needs a traceable proof beforehand.
- A use case looks promising but carries technical risk.
- A decision should rest on facts instead of assumptions.
When Not
When an idea is proven and comparable solutions are widely in use, a PoC only delays and direct delivery is wiser. And when neither clear success criteria nor suitable data exist, it is too early for a PoC; the basis for an unambiguous result is missing.
Industries That Use It
- Chemicals and pharma: test feasibility on sensitive process data in a protected frame.
- Banks: prove the technical risk of an idea tightly before investing.
- Mechanical engineering: test a model on real operating data before it goes onto the line.
- Telecommunications: check the scalability of an approach on real data volumes.
Typical Use Cases
- A narrowly framed feasibility question with real data.
- Success criteria defined in advance for an unambiguous result.
- A short, budgeted period instead of an open project.
- A decision basis for delivery, adjustment or stop.
- A judgement on the effort and risk of later delivery.
Decision Guide
| Signal | Proof of concept fits | Alternative |
|---|---|---|
| Feasibility unclear, risk technical | PoC with clear criteria | full build is too risky |
| Idea proven, solutions widespread | rather not | deliver directly |
| No criteria, no data | sharpen first | a PoC without a base fails |
| A large investment is due | PoC as a safeguard | a gut call is expensive |
Example
A machine builder wants to detect faults early but is unsure whether the data suffices. We define a clear success threshold and test the idea on real operating data in a short PoC. The result exceeds the threshold, and the use case moves into delivery. This describes the method, not an asserted client metric.
Service Connection
A PoC usually follows a prioritised use case from the AI potential analysis and leads, on success, into AI implementation. For sensitive data, EU AI Act consulting frames the duties beforehand.
Sources
This framing describes common practice for feasibility proof. Statements on data protection and the EU AI Act are general orientation and not legal advice; they must be checked case by case against the currently applicable legal texts.