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Policy in practice · Practical playbook

Retire an AI tool while preserving business work

An AI tool may hold useful drafts, shared projects, reusable instructions and links to other systems. Retirement should separate what the organization needs to retain from what should stop being accessible. Canceling a subscription does not by itself demonstrate that either job is complete.

For Application owners, IT administrators and team managers

Synthetic example

A team moves to a different approved assistant

A design team is replacing a research assistant. Some project notes live only in its workspace, and a shared connection still points to the team's document library.

What you are working with

  • An inventory of useful projects, outputs and reusable instructions.
  • The owners of the account, shared workspaces and connections.
  • A retirement date and a proposed destination for retained records.

A safer approach

  • Have project owners identify the records worth keeping.
  • Test the available export or transfer with a small sample.
  • Remove old access only after the retained work is verified.

Expected outcome: Teams keep the records they need while the application owner can account for subscriptions, connections and remaining access.

Put it into practice

Work through the procedure

  1. Map work and dependencies

    Ask active teams which tasks still depend on the tool, including recurring jobs and shared resources. List record owners and connections separately from license holders. Distinguish business evidence that must be retained from temporary conversations that no longer serve a purpose.

  2. Verify the migration path

    Read the provider's current export or transfer options for the actual account. Test whether the result preserves the information people need, not just whether a download exists. Store approved retained records in an organizational location with an owner and appropriate access.

  3. Schedule the cutover and connection removal

    Tell users when new work should move and when old access will end. Have authorized administrators review connected accounts, credentials and recurring activity. Use the provider's current controls; do not assume canceling billing revokes every linked service or sharing permission.

  4. Verify retirement and resolve stragglers

    Confirm the replacement workflow works and retained records can be opened. Check the old service's administrative state and available usage evidence. Follow up with remaining users about missed dependencies, then update the approved-tool register and keep a concise completion record.

Evidence before approval

What to check before proceeding

1. Retained records remain usable

Ready when
Their owners can open the migrated files and locate required project context.
If the check fails
Resolve missing content while authorized access is still available.

2. Connected access has an explicit outcome

Ready when
Each integration or credential has been reviewed by its responsible administrator.
If the check fails
Keep retirement open with a named owner for the unresolved connection.

3. The old workflow is no longer needed

Ready when
Teams can complete the task through the approved replacement or manual process.
If the check fails
Identify the missing capability before treating remaining use as deliberate noncompliance.

Common mistakes to avoid

  • Exporting all conversations into a broadly accessible folder without reviewing their sensitivity.
  • Equating a canceled paid plan with deletion of data, revocation of integrations or closure of every personal account.
Workforce AI Security

Evaluate this workflow with Aona

Where Aona can help

Where deployed and supported, Aona's usage visibility can help identify continuing AI activity after cutover. Supported policies can reinforce the organization's decision about subsequent use of the retired service.

What to confirm

Aona is not the provider's export, account-deletion or credential-revocation system. Silence in observed usage is not proof that every copy, account or integration has been removed.

Turning this policy into an operational rollout?

Discuss the teams, devices and AI tools in scope, who will own the policy, and which deployment and evidence requirements need to be met before rollout.

FAQ

Questions about this workflow

No blanket rule is appropriate. Ask the responsible records and data owners what is needed, where it belongs and who may access it. Retaining everything can create a new repository of unnecessary sensitive information.
Technical evaluation

Turning this policy into an operational rollout?

Discuss the teams, devices and AI tools in scope, who will own the policy, and which deployment and evidence requirements need to be met before rollout.

Retire an AI Tool Without Losing Work | Aona AI