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Products & data

From a research outcome to a pilot that answers a question

A working prototype is an important start. Adoption needs a question, measurement and boundaries agreed in advance.

Choose one decision-relevant question

A pilot should be small enough to evaluate and specific enough to inform a decision. Instead of “testing AI”, ask whether people can reliably find an approved procedure in a specialist knowledge base. Describe the current way of working and agree on what improvement would look like. Response speed is not enough if accuracy becomes worse. Keep the comparison meaningful to the people doing the work.

Agree on responsibilities before testing

Decide who prepares content, who authorises data access and who reviews a problematic output. Include situations where the system should acknowledge uncertainty or hand a task to a person. NIST’s voluntary AI RMF connects the context of use with measurement and risk management. For a pilot, the practical point is that feedback must reach someone who is responsible for acting on it.

Stopping can be a useful outcome

Compare results with the original criteria. Separate technical functionality, usability, operating costs and conditions for wider adoption. Record what a small pilot could not establish. Meta Digital’s proposed role is to connect these findings with a product and distribution model. Expansion makes sense when support ownership is clear, further evaluation is planned and there is a way to handle changes in the technology.

Sources and further reading

Meta Digital editorial team · 23 October 2026

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