Apple: Governed AI Access for Enterprise Airtable

The client

Apple's Environmental Technologies group, running 25+ connected Airtable applications for roughly 300 to 400 stakeholders.

The challenge

AI assistants can read and write any Airtable base a user's login can reach. For an enterprise team, that is not acceptable. The business needed the same AI capability, but only on bases it had explicitly approved, with read-only protection for its most sensitive data.

The architecture we designed

• Governed AI gateway: a policy layer in front of the AI integration, so every request is checked before it reaches a base.
• Per-user OAuth only: no shared API keys, so every action is tied to a named person.
• Airtable as the control plane: approved bases, user entitlements, and read-only or read-write access are managed as Airtable records, so admins change policy with no code and no redeploy.
• Fail-closed by design: if the policy source is unreachable, access is denied rather than silently allowed.
• Two independent boundaries: a request must pass both the user's own Airtable grant and the organization's approval policy.
• Built-in audit trail: approver, approval date, and last activity are recorded automatically.
• Self-service growth path: teams request access to additional bases through a central approval queue.

Why it matters

Enterprises can adopt AI on their operational data with the controls their security teams require, without slowing teams down.

Let's talk

Rolling out AI on enterprise data and need governance first? Contact Air Alchemy.