A practical governance architecture for accountable day-to-day AI use. The observations below provide a strategic framework for discussion and are not a substitute for jurisdiction-specific professional advice.

01

Write for real decisions

A policy should tell employees which tools and uses are allowed, restricted or prohibited and when approval or human review is required.

02

Cover the complete lifecycle

Address data inputs, confidentiality, intellectual property, vendor assessment, output verification, record keeping, security, bias, incidents and escalation.

03

Make it operational

Assign owners, connect policy to procurement and risk processes, train users, maintain a use-case register and review controls as systems and rules evolve.

Important

This briefing is general information only and does not constitute legal, tax, financial, investment, immigration or regulatory advice. Requirements and programmes can change. Obtain current advice from appropriately licensed professionals before acting.