AI governance
The framework that makes AI safe to scale.
Without governance, AI use across a growing team creates inconsistency, risk, and liability. IntelligenceOS™ builds the policy, oversight structures, and review cadences that make scaling AI a controlled process.
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AI Usage Policy
A clear, documented policy defining how AI tools can be used across the business — which tasks are appropriate for AI, which require human oversight, and which should not involve AI at all. Tailored to your business model and risk profile.
02
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Human-in-the-Loop Rules
Every agent and automation workflow has defined points where a human must review, approve, or override. The governance framework specifies these requirements — so AI supports human judgement rather than replacing it where it matters.
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Data Handling Guidelines
Rules governing what data can be processed by AI tools, which tools can access which data, and how customer or commercially sensitive information is protected. Designed to work within your existing privacy and security posture.
04
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Output Review Process
A structured review process for AI-generated outputs before they are acted on or distributed. Ensures quality, catches errors, and builds team confidence in using AI outputs rather than bypassing or ignoring them.
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Team Training & Adoption
A structured training programme so the team understands how to use the deployed tools, workflows and agents effectively. Adoption is measured — not assumed — and the programme adapts as new capabilities are deployed.
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Governance Review Cadence
A regular review rhythm built into the operating calendar — to assess AI performance, update the policy as tools evolve, review agent behaviour, and ensure governance keeps pace with the business's growing use of intelligence.