Policy Support

AI Acceptable Use and Human Oversight Policy Support

Define where AI may be used, what data must not be entered and when a qualified person must review or make the final decision.

Why It Matters

A Policy People Can Understand and Apply.

An AI acceptable use policy helps teams benefit from AI without treating every tool or use case as equally safe. It should define approved use, prohibited data, accountability, verification, transparency and the level of human review required for different impacts.

Recommended Coverage

What the Policy Should Address

Approved tools, purposes and prohibited uses

Personal, confidential and client-data restrictions

Output verification and professional judgement

Human oversight for consequential decisions

Bias, intellectual property and transparency

Use-case records, incidents, training and review

CrenavoLab Support

How We Can Help

Support is tailored to the organisation’s size, operating model, risk and agreed scope. A typical engagement may include:

  • Inventory current and proposed AI use cases
  • Define proportionate risk and approval tiers
  • Draft practical rules for staff and contractors
  • Design human-review and escalation responsibilities
  • Create adoption guidance and awareness material

Typical Outputs

Useful, Reviewable Deliverables

Select a deliverable to see how it supports implementation, accountability and evidence.

AI acceptable use policy

A tailored draft that defines scope, ownership, mandatory requirements, exceptions and review arrangements. It is structured for stakeholder review and formal approval by the organisation.

AI use-case register

A structured working register with defined fields for ownership, status, decisions, evidence and review dates. The format can be adapted to the organisation’s operating model.

Risk-triage and approval template

A reusable working template with clear prompts, ownership fields and evidence sections. It supports repeatable documentation while leaving room for case-specific judgement.

Human-oversight responsibility matrix

A clear allocation of accountable owners, contributors, reviewers and approvers so each requirement can be implemented, monitored and evidenced without uncertainty.

Official Guidance

Continue with Authoritative Information

These independent sources provide further context. They open on the relevant official organisation’s website.