Small and midsize businesses
Decide which AI systems are earning their place in your work, and what to test before spending more.
A review of one AI system in one real business workflow, so you can make your next decision about it on evidence.
You have a decision coming about AI you already use: whether to expand it, renew it, improve it, restrict it or stop it. The review is built around that one decision.
We define the AI system, the business workflow, the leader accountable for the decision, and the choice that needs to be made.
Before reviewing evidence, we agree what would support, qualify or block the decision.
We record how the workflow runs today, what evidence exists, and what cannot yet be observed.
We examine agreed records, tests, outputs, procedures and how people use the system, and mark each material claim as supported, partly supported, unsupported, contradicted, or not observable.
You receive the Decision Packet. Your accountable leader chooses a path: proceed, proceed with conditions, hold pending evidence, restrict or redesign, or stop. We help assign the actions that follow.
When the model, vendor, workflow or people change, we recheck the evidence that change affects.
One AI system, one workflow and one accountable owner. If your decision touches more systems or workflows, we scope each as its own review and agree on that before any work starts.
Decide which AI systems are earning their place in your work, and what to test before spending more.
Show customers and investors the evidence behind your AI decisions.
Bring clearer evidence and ownership to AI use across teams.
The method stays the same at every stage. What changes is the workflow, the people involved, the evidence available and the decision itself.
Every review starts with a conversation about your decision.