- 01Data & criteriaScope · Decision evidence
- 02Review & approvalWhere people need to check
- 03Permitted actionsPermissions · Result records
Start with company rules
Identify the workflow, data, and decision criteria for AI. Define which outcomes to evaluate and which steps always require human review.
Results people can review
Record the evidence AI used, its reasoning, actions, and outcomes. Separate direct execution from approval-required work, and test duplicate processing, errors, and stopping conditions.
Make usage conditions clear
The agreement defines models, providers, inputs, outputs, review responsibility, usage, and execution scope. It also specifies the scope and completion criteria for SHINCHUK's data connections, permissions, and execution controls.
Where should your company start?
Tell us about your work and goals. We will explore an approach together.
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