EVOLVIN · practical implementation
Design an operating model for AI work
An AI operating model describes how work is controlled, not just which model is used.
A complete work cycle.
- TriggerRecord what started the work and its source.
- EvidenceUse approved inputs and record their version or date.
- Bounded actionPerform only the actions authorised for this process.
- ReviewRoute exceptions and consequential decisions to a named person.
- OutcomeKeep the result and its acceptance or rejection distinct.
- OperationMonitor failures, access, costs and recovery.
Assign responsibility.
The process owner defines the result; the reviewer approves exceptions and consequential outputs; the operator maintains connections and recovery. One person may hold several roles, but the duties should remain explicit.
Pause when required data is missing, access expires or an action falls outside permission. Binding commitments, external sends and spending require the relevant authorisation.
Define your first step.
Send a brief description of your process and the result you need. Please leave out confidential records. We will agree the data, permissions, scope, acceptance criteria and commercial terms before work begins.
Discuss this workflow