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The core policy suite
An AI acceptable-use policy, a data-handling standard for AI, and a governance policy defining roles and oversight.
Policy Implementation puts AI policies and standards in place that are current, specific to how your organization actually uses AI, enforceable, and followed. The audit consistently finds policies that either do not exist or exist but do not match practice. Both are resolved here.
Each instrument has an owner, a review date, and a defined change process, so policy stays current as AI use and regulation evolve.
An AI acceptable-use policy, a data-handling standard for AI, and a governance policy defining roles and oversight.
Named tool tiers (sanctioned, permitted-with-conditions, prohibited), explicit data-category rules, and worked examples for your real workflows.
Concrete required behaviors that translate principle into practice, like mandatory human review for AI-influenced consequential decisions.
Each instrument reflects current regulatory, contractual, and ethical requirements identified in the audit.
Owners, review dates, and a defined change process so policy stays current.
Distributed in plain language, with acknowledgement captured and reinforcement through enablement, not a one-time email.
AI Policy FastTrack is the natural way to execute this workstream as a small, fast first step. It generates a coherent, organization-specific policy suite rather than starting from a blank page or a generic template.
A short conversation about your existing policies (if any), the gaps to close, and a fit-for-purpose suite you can publish within weeks.