Give AI a useful role and a clear boundary.
Identify the business task and decision rights before choosing a model. Define acceptable data, responsible reviewers, failure cases and evidence standards. Test with synthetic or redacted examples, then agree the controls and support needed for a bounded rollout.
A scope may include
- An AI strategy and prioritized use-case portfolio
- Data, vendor and human-review boundaries
- A governed pilot and evaluation plan
- An adoption and capability-building roadmap
Clear terms, before the work
Deliverables, timing, responsibilities and fees are agreed in writing before a paid engagement begins. No subscription or payment is created by an inquiry.
No autonomous legal, employment or other high-impact decisions are implied. Confidential or regulated information requires an approved data path and appropriate specialist review.