Let people do more with what you know.
For experts and service businesses: explore a useful learning, practice or information experience that is difficult to offer between conversations today.
Start with one person and one activity
Imagine a learner preparing for a real conversation. They might practise an answer, compare it with your approved guidance and see what to ask you next. That is a concrete use to test; “an AI version of me” is not yet a useful scope.
Choose the knowledge that belongs
Use material you have the right to share with those people. Decide what is included, what is private and where the experience must point back to a person. Source access and content rights need to be defined before picking a tool.
Make a small experience people can try
A prototype could guide a short practice task or help a person find relevant information. Start with one complete interaction and a clear fallback. This is an example of a possible pilot, not a product already in operation.
Compare it with simpler alternatives
A good FAQ, a short lesson, a worksheet or a scheduled human conversation may serve the person better. Ask whether the new experience makes their next action clearer, more useful or possible at all. Novelty is not the success criterion.
See whether people actually use it
Watch people attempt the chosen task. Ask what they understood, where they needed help and whether the result was worth using. Review mistakes and support needs before deciding to expand. No adoption or revenue outcome is assumed.
Your next useful question
Automate a repeated workflowTest an AI knowledge assistantAI or automation: what does the task need?Clarify data and responsibility before connectingLooking for startup capital?
Capital and investment are a separate Back & Build route. A paid AI pilot is not a prerequisite. Any investment is assessed separately and individually agreed.