AI Project Handoff Checklist

A system delivered without a real handoff becomes a liability the day the builders leave: nobody can change it safely, nobody knows why it works the way it does, and the first incident becomes an archaeology project. This checklist defines handoff as a state the receiving team reaches, not a meeting the builders hold. It complements forward deployed engineer knowledge transfer and the forward deployed engineering playbook whitepaper.

Who should use this checklist?

Receiving engineering and business owners, the delivery team or partner handing over, and program managers responsible for the transition.

Is documentation complete?

1. Architecture documentation: components, data flows, integrations, platform dependencies.
2. Decision records: what was decided, alternatives, and reasons.
3. Specification with acceptance criteria, current and versioned.
4. Data documentation: sources, permissions, retention, lineage.
5. Known limitations and deferred items.
6. Model or system card.

Reference: ai documentation checklist and what is a model card.

Are runbooks in place?

Runbook	Present and tested?
Normal operation and daily checks
Provider outage or degraded mode
Quality regression response
Cost spike response
Safety incident containment
Rollback procedure
Data refresh and index maintenance
Access and credential rotation

Reference: the ai incident response checklist.

Are evaluation assets transferred?

1. The golden dataset with labeling guidelines and provenance.
2. The evaluation harness and CI integration, runnable by the receiving team.
3. Thresholds and their rationale.
4. Calibration records for any model graders.
5. Production sampling process and review guidelines.
6. Instructions for adding cases from production failures.

Reference: how to build an ai quality gate.

Are versions and configurations recorded?

1. Model, prompt, retrieval, and tool versions in production, in the registry.
2. Pinned provider versions and the re-evaluation process for updates.
3. Configuration for gateway routing, budgets, and policies.
4. Rollback targets identified.

Reference: how to build a model registry.

Is access and ownership transferred?

1. Repositories, infrastructure, and data are in the receiving organization's accounts.
2. Credentials rotated; builder access revoked or converted to defined support access.
3. Provider accounts and keys owned by the receiving organization.
4. Third-party services and licenses transferred.
5. Ownership verification: the receiving team has confirmed control of every asset.

Reference: the ip protection checklist for offshore development.

Are owners named and trained?

1. Engineering owner and business owner named and on the escalation path.
2. Owners have operated the system alongside the builders through a normal cycle.
3. Owners have executed a simulated failure and a rollback.
4. Owners have made and released a change through the evaluation gate.
5. Reviewers for the human review queue are trained.
6. Users are trained and know how to escalate and give feedback.

Reference: the AI change management whitepaper.

Is monitoring handed over?

1. Dashboards for operations, quality, cost, and drift are accessible.
2. Alerts route to the receiving owners.
3. Runbook links are attached to alerts.
4. Baselines for drift detection are documented.

Reference: the ai observability checklist.

Is the support transition defined?

1. A transition period with defined builder availability that tapers.
2. Escalation channels during the period.
3. Criteria for closing the transition.
4. Optional ongoing support arrangements agreed if desired.

Is the backlog handed over?

1. Known improvements with rationale and priority.
2. Deferred items from the specification.
3. Autonomy graduation criteria and the evidence collected so far.
4. Platform reuse notes for future workflows.

Reference: the enterprise AI adoption roadmap whitepaper.

Has handoff been verified?

1. A handoff review confirms each section with evidence.
2. The receiving team signs that they can operate, change, and extend the system.
3. Open items have owners and dates.

What does a good handoff week look like?

The final week is a rehearsal, not a writing sprint: the receiving team runs the daily checks, triggers a simulated provider outage and recovers, ships a small change through the evaluation gate, and presents the system back to the builders, who correct only what the documentation failed to convey.

Are the common handoff failures avoided?

1. Documentation written in the final week from memory.
2. Evaluation assets left on the builders' machines.
3. Access transfer assumed rather than verified.
4. Owners named but never having operated the system.
5. Support ending the day of the meeting.
6. Handoff planned only at the end.

How FISTA Solutions hands off

FISTA Solutions plans handoff from the first day of every engagement: work happens in the client's repositories and tools, decisions are documented as they are made, evaluation assets live in the client's CI, owners operate the system alongside FISTA engineers before transition, and the handoff review confirms the receiving team can operate, change, and extend the system alone. This is how forward deployed engineer missions, AI enablement platform work, and AI agents deliveries end, and how staff augmentation engagements transition. The record behind the approach is 150+ projects with 99.9% uptime.

To plan a handoff, or to assess whether a system you inherited was actually handed off, message FISTA on WhatsApp, or read forward deployed engineer knowledge transfer for how continuous transfer works.