Proof of concept: definition, purpose and limits
Definition
A proof of concept is a small, targeted test that answers a single question: does the approach hold for this case? It is not a finished product but evidence. With an assistant focus it checks, for example, whether an assistant answers citably from your sources and respects rights. The goal is a solid yes or no before investing bigger.
Why the Term Matters
Many invest big without checking the riskiest assumption. A proof of concept targets exactly that assumption and shows early whether it holds. On the assistant topic the most common question is whether sources and rights suffice for citable answers. Who clarifies that first spares expensive wrong turns and builds on secured ground.
When It Is Relevant
- A central assumption is uncertain and expensive if wrong.
- The case is important but not yet proven.
- Before a larger investment evidence is needed.
- Sources and rights should be tested in practice.
When Not
When the approach visibly holds or the risk is small, a proof of concept only costs time. Also when the real question is organisational rather than technical, a test helps little. Then a decision or a direct, small build is more useful.
Industries That Use It
- Insurance: proof of whether an assistant supports case handling citably.
- Industry: a test of whether a company brain answers reliably from technical docs.
- Logistics: checking whether an agent pre-sorts requests correctly.
- Law firms: evidence of whether research with source references cuts effort.
Typical Use Cases
- Testing the riskiest assumption on a real case.
- Proving citable answers from approved sources.
- Checking whether rights and data protection hold in the approach.
- Comparing two paths on the same problem.
- A basis for a decision on the build.
- Discarding unsuitable approaches early.
Decision Guide
| Signal | Proof of concept fits | Alternative |
|---|---|---|
| Risky, expensive assumption | test clarifies it early | blind invest risks loss |
| Case important, unproven | evidence brings certainty | gut feeling stays risky |
| Approach visibly holds | rather build directly | test only delays |
| Question is organisational | rather a decision | a technical test barely helps |
Example
A team is unsure whether its scattered docs suffice for citable answers. It builds a small assistant on a clearly limited slice of sources and checks whether the answers are correct and rights hold. The result decides the build. This describes the method, not an asserted client metric.
Service Connection
A passed test often becomes a personal AI assistant or a company brain, and for actions AI agents. The build is shown at have an AI assistant built.
Sources
This framing describes common practice around a proof of concept. Significance, rights and data protection depend on the case and the sources and must be checked case by case.
