Name the accountable owner
Assign one person or role accountable for the business outcome and identify who operates the service, evaluates quality and approves changes. Document the hand-off between supplier and buyer. A pilot team that disappears after delivery is not an operating plan.
Budget recurring work
Reserve engineering time for releases, incidents and infrastructure changes. Include evaluation review and the effort needed to maintain representative test slices. Make these costs visible alongside hosting. The maintenance planner turns entered hours and rates into an explicit provision; it does not infer the staffing your service requires.
Choose meaningful triggers
Reassess when acceptance drops, the production mix changes, source data shifts, the underlying model changes or the API comparator becomes more attractive. Record the signal, the responsible reviewer and the decision deadline. Distinguish a scheduled review from an automatic retraining job: more training is not always the right response.
Keep a tested way back
Maintain the ability to fall back to the API, disable routing or pause the affected workflow. Test exports and restoration before an urgent exit. Download the planner’s RACI and calendar, then assign the work in your actual operating system. The local calendar file creates no invitations and sends no messages to the named roles.
Bring to the decision review
Bring a calendar with accountable owners, a current operating budget and the latest protected failure review. Check that the fallback still works and that another qualified person can locate the run configuration and artefacts. Decide who has authority to pause a workflow during an incident. The operating plan should survive the original pilot team moving on to another project; a named role without allocated capacity is still an open dependency.
Sources & editorial record
This is Frontier Development’s decision framework. The references below support the general technical concepts; the worked scenarios and procurement questions are our analysis.
- NIST · AI Risk Management Framework · checked 16 October 2026 ↗
- AI Risk Management Framework — NIST ↗
References accessed 16 October 2026. No current price, product availability or legal clearance is asserted. Published study findings are attributed above; this guide reports no Frontier Development experiment. Read the comparison method.
Review history and research boundary
Edition 1.1 · 16 October 2026: added claim-level attribution, explicit evidence boundaries and links to the flagship synthesis. Published by Frontier Development. No named external technical reviewer is recorded. This guide provides a decision framework; it is not a Frontier Development experimental result.
Read the primary-study synthesis →Open the maintenance tool
Explore a complete synthetic example before using your own inputs.