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Gamut AI Gamut AI Docs

Policy generation

Gamut can help you draft AI governance documents with AI assistance, turning the governance work you have already done into written policy, rather than starting from a blank page.

A library of document types

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Policy generation is not a single template. It spans the document set a real AI governance programme needs, across four kinds of artefact:

  • Policies: the overarching AI governance policy (purpose, scope, principles, roles, structure, risk approach, enforcement, review cadence), an AI acceptable-use policy (permitted and prohibited uses, bring-your-own-AI and shadow-AI controls), and jurisdiction-specific policies such as a NITDA-aligned Nigeria AI governance policy.
  • Standards: data classification, privacy, risk and transparency standards.
  • Procedures: risk and impact assessment, incident response, change, lifecycle, monitoring, bias, data handling, vendor and decommissioning procedures, and NITDA audit procedures.
  • Guidelines: ethics, human-oversight and training guidelines.

Each is drafted against a structured outline so the output is consistent and complete, not a blank prompt.

Grounded in your governance

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Generated documents are grounded in the context Gamut already holds, your AI systems, risk tiers and the frameworks you assess against, so policy reflects your actual estate rather than a generic template. The output is a starting draft to review and adapt, not a finished policy. Human ownership and sign-off remain essential; generation removes the blank-page problem and keeps policy consistent with the rest of your governance.

Draft to publish

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Generated documents follow a lifecycle governed by RBAC:

  • policy.generate produces a draft.
  • policy.publish promotes a reviewed draft to a published document.
  • policy.delete removes one.

So drafting, reviewing and publishing are separate, accountable steps, and a generated draft is never a published policy until a person with the right permission promotes it.

AI handling and quotas

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As with all AI features in Gamut, policy generation is proxied server-side: model provider keys are never exposed to the browser (see Security & data handling). It is gated by the policy_generation entitlement and metered by daily and monthly generation quotas that depend on your plan & entitlements. When the entitlement is off, the quota is zero.

Why generate policy inside Gamut

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  • Consistency. Generated documents reflect the same frameworks and risk model your assessments use, so policy and practice stay aligned.
  • Speed. Drafting accelerates from days to minutes, leaving more time for review and tailoring.
  • Traceability. Policy connects to the governance records it governs, rather than living as a detached document.

Next

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