Practical guide

AI policy for business

The objective is to govern permitted AI use in practical, understandable terms. The review baseline covers scope, data classes, accounts, approvals, incidents and training.

WERKVERSTAND / CONNECTING INTELLIGENCE

The essential answer

A business AI policy explains in plain language which uses are permitted for which data and accounts. It names approvals, incident handling and training within a clear scope. Develop the rules against the organisation's actual working situations.

01 / FIT

A good fit when

  • Goal, scope and domain accountability are explicit.
  • The review baseline is available: scope, data classes, accounts, approvals, incidents and training.
  • Using representative tasks, staff can explain which account and data are permitted, when approval is needed and where to report an incident. Unresolved interpretation questions are documented.

02 / LIMITS

Not the first choice when

  • Avoid: publishing a template without operational adaptation. An unchanged published template provides insufficient guidance if it reflects neither actual data classes nor operational contacts and approval paths.
  • There is neither safe test data nor a manual fallback.
  • A product demo is expected to replace domain acceptance.

Clarify data paths and accountability

The work assignment is to govern permitted AI use in practical, understandable terms. Define purpose, owner and permitted operating boundary before the first test.

The domain review baseline covers scope, data classes, accounts, approvals, incidents and training. Assumptions and missing information remain visible in the result.

Embed controls in the workflow

  • Define scope, permitted accounts and business data classes with accountable owners.
  • Describe approvals and incident reporting using concrete work examples.
  • Test the policy with staff for clarity and unresolved cases.
  • Record training, contact people and a date for reviewing the rules.

Review approval against evidence

Using representative tasks, staff can explain which account and data are permitted, when approval is needed and where to report an incident. Unresolved interpretation questions are documented.

Avoid: publishing a template without operational adaptation. An unchanged published template provides insufficient guidance if it reflects neither actual data classes nor operational contacts and approval paths.

Decision matrix

Decision pointProceed whenStop when
Data and accountabilityDocumented: scope, data classes, accounts, approvals, incidents and training.Scope, data or accountability remains unresolved.
Control evidenceUsing representative tasks, staff can explain which account and data are permitted, when approval is needed and where to report an incident. Unresolved interpretation questions are documented.There is only an unevaluated demo without acceptance evidence.
Approval boundaryOwner, approval, fallback and next review date are defined.Avoid: publishing a template without operational adaptation. An unchanged published template provides insufficient guidance if it reflects neither actual data classes nor operational contacts and approval paths.

Keep it verifiable

Primary sources

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