Decide whether AI use is ready for sustained operations

Purpose and fit

Use this when a working AI-assisted process is approaching sustained use, broader adoption or transfer from a temporary delivery team. Focus on whether the receiving organisation can own it over time. A successful demonstration can conceal unpaid support, exceptional reviewers or dependence on one enthusiastic individual. Make these dependencies explicit before committing further.

Before you start

Use existing operational evidence, owner commitments, support arrangements and available cost/capacity records. Adapt the review to the proposed scope; missing records become explicit readiness gaps, not a requirement to invent a complete dataset.

If your available data uses different fields or terminology, adjust the prompt to match it. State the intended decision, audience and acceptance criteria; ask for essential missing information, and label any non-essential working assumptions. Do not fill factual gaps with invented information.

Required inputs

• Evidence from actual use, including accepted work, failures, review burden and support effort
• The proposed operating scope, expected workload and affected teams
• Named receiving owners, support capacity, recurring costs and source/system dependencies
• Current controls, training materials, change procedures and a practicable fallback

Practical workflow

1. Describe the operating commitment: work covered, teams served, service expectations and boundaries. Identify how the proposed scope differs from the conditions under which evidence was collected.
2. Review evidence of usefulness and quality alongside full operating effort. Include review, support, maintenance and fallback costs. Separate observed capacity from hoped-for capacity and one-off assistance from funded ongoing work.
3. Confirm receiving ownership for process decisions, system changes, source updates, quality review and user support. Name a deputy or continuity arrangement for critical responsibilities. Obtain explicit acceptance from each receiving owner.
4. Test operational readiness through a handover walkthrough. Ask the receiving team to handle a changed source, an unavailable reviewer and a service interruption using the documented procedures. Record gaps without relying on the temporary team to fill them silently.
5. Assess the proposed expansion by cohort or workload. Check permissions, accessibility, local process differences and specialist obligations. Set conditions for staged transfer, continued limited use, redesign or retirement rather than treating expansion as automatic.
6. Record the authorised decision, resources and unresolved conditions. If transferring, agree the effective date, review cadence and escalation route. If stopping, assign continuity, records and user-notification responsibilities through existing approval processes.

Expected output

Expect a draft acceptance record, handover walkthrough plan and decision options for authorised owners. This cannot certify operational readiness, commit budget or authorise broader deployment.

An operational acceptance record and a scale-or-stop decision note:

Responsibility | receiving owner/deputy | required capacity | committed capacity | procedure/evidence | unresolved gap | acceptance/date

Decision note: current scope; proposed scope; observed value and quality; recurring effort/cost; evidence gaps; support and source dependencies; readiness blockers; chosen outcome; authorised resources; transition conditions; decision owner/date; next review.

Possible outcomes are accept into sustained operations, transfer in stages, retain bounded use while resolving gaps, redesign or retire. For every condition, specify an owner, evidence of completion and what happens if it remains unmet. Do not represent an unsigned ownership field as an accepted commitment.

Human checks

The receiving owners confirm that they have authority, time and resources to discharge their responsibilities. Budget owners verify recurring commitments. Domain, security, privacy and other specialists review material changes within their remit. A sponsor accepts residual risks explicitly; delivery-team enthusiasm cannot substitute for operational acceptance. People affected by a transition need approved, practical instructions and a functioning fallback.

Limitations

Readiness is conditional on the stated scope and available evidence. Workload, staffing, costs and system dependencies can change. This record cannot guarantee reliability or satisfy sector-specific obligations by itself. A decision to retain limited use can be appropriate even when individual outputs are good; retirement may also require separate approvals and continuity planning.

Responsible use

Use relevant data that exists or that you provide, with accuracy and completeness sufficient for the task. Different AI models and versions may produce different results, and responses may vary between runs. You are responsible for checking and validating the output against your own requirements, source information and acceptance criteria before relying on it.