Enterprise AI delivery control

What should an enterprise receive when an AI project is handed over?

Handover is not a final presentation. The receiving team must be able to reproduce the release, operate the workflow, investigate decisions and failures, change it safely, revoke access, and continue or replace the system without relying on undocumented supplier knowledge.

Reproducible releaseSource, configuration, versions, and environments
Operable serviceRunbooks, monitoring, recovery, and support
Clean exitOwnership, data, access, knowledge, and continuity

Transfer the complete technical and evidence baseline

The asset list should describe what is delivered, where it resides, who owns it, and how completeness is verified.

System assets

Transfer repositories, build and deployment definitions, infrastructure configuration, dependencies, prompts, retrieval pipelines, tool contracts, schemas, and environment inventory.

Data and evaluation

Document sources, lineage, rights, retention, migration, indexes, test sets, labels, metrics, thresholds, known failures, versions, and reproducible results.

Architecture and decisions

Provide diagrams, interfaces, identity and permission model, threat and privacy decisions, accepted trade-offs, limitations, backlog, and decision records.

Prove that the receiving team can operate and exit

Document delivery is incomplete until people can execute the critical procedures.

Operations and recovery

Demonstrate monitoring, alerts, support, incident handling, rollback, backup and restore where relevant, credential rotation, cost control, and disaster procedures.

Access and supplier separation

Inventory accounts, keys, domains, cloud resources, subscriptions, third parties, and data copies; transfer or revoke them and retain signed deletion evidence where required.

Knowledge and continuity

Run role-based training and witnessed drills; define warranty, transition support, service levels, escalation, replacement plan, and unresolved obligations.

How to accept the handover

Agree the exit schedule early

Put deliverables, formats, ownership, verification, access transfer, deletion, support, fees, and acceptance into the contract before delivery starts.

Build the asset register continuously

Record each system, repository, data asset, credential owner, dependency, licence, document, evidence set, and responsible recipient.

Run a receiving-team drill

Require the new owner to deploy, monitor, investigate a failure, roll back, rotate access, and complete one controlled change.

Sign the final disposition

Record accepted assets, gaps, residual risks, retained supplier data, revoked access, support end date, and accountable signatories.

Frequently asked questions

Who should own the prompts?

Ownership and permitted reuse should be explicit. More importantly, the enterprise needs the prompts, versions, evaluation evidence, dependencies, and change process required to operate its workflow.

Is source code enough?

No. Without data contracts, configuration, infrastructure, evaluation, permissions, runbooks, credentials, decisions, and trained owners, source alone may not reproduce the service.

When should exit planning begin?

During procurement and contracting. Exit requirements shape architecture, evidence, ownership, data handling, and commercial terms throughout delivery.

What if the vendor hosts the system?

Require export formats, retrieval timing, continuity arrangements, deletion evidence, transition support, and a tested replacement path proportionate to business criticality.

Start with one concrete operating problem.

We will first clarify the workflow, evidence, data boundary, and outcome standard before recommending the next step.

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