Generative AI adoption inside organizations is almost never centrally planned. Employees bring ChatGPT, Copilot, Claude, and dozens of niche tools into their daily work long before a policy exists to govern them, and by the time leadership notices, sensitive data has often already passed through systems no one assessed.
This toolkit provides a CISO, privacy officer, or GRC lead with a complete, ready-to-deploy AI governance package: the policy layer, the operational procedures, the intake forms, and the tracking registries needed to bring shadow AI under control without freezing legitimate business use.
It contains eight documents across four functional areas.
POLICY FOUNDATION
An AI Policy establishing the AI Management System governance structure aligned to ISO/IEC 42001, covering scope, definitions, roles and responsibilities, and compliance enforcement. An AI Acceptable Use Policy translating that governance structure into clear, employee-facing rules for day-to-day tool use.
OPERATIONAL PROCEDURE
An AI Data Handling SOP defining how data is managed across the full AI lifecycle – before submission as a prompt, during processing, and after output generation – including treatment of inference logs and usage metadata held by either the organization or the vendor.
INTAKE AND APPROVAL FORMS
An AI Tool Request Form capturing requestor information, tool details, and a structured data-and-privacy assessment before any new AI tool is approved for use. An AI Tool Evaluation Request Form adding a dedicated CISO review section covering DPIA determination, approval level assignment, and conditions of use.
TRACKING AND VENDOR REVIEW
A Shadow AI Registry with a four-tier classification system (Green, Yellow, Orange, Red), an approved tools inventory, a shadow AI incident log, and an auto-calculated governance dashboard for leadership reporting. An AI Tool Registry providing a master inventory of all evaluated and approved tools with classification, data permissions, and review cycles. An AI Contract Checklist scoring vendor contracts across 33 clauses in six risk categories: data governance and training rights, model transparency, security and incident response, liability for AI output, regulatory compliance and data residency, and termination and data return.
All Excel files include working formulas and auto-calculated dashboards, not static tables. All Word documents follow a consistent governance document structure with version control, scope, definitions, roles and responsibilities, and an ISO/IEC 42001 structural mapping. Every file is fully editable and uses bracketed placeholders for fast organizational customization.
Built by a practicing CISO and CISA-certified auditor with over 20 years in information security governance, ISO frameworks, and risk management. These are working documents used in real client AI governance engagements, not generic templates.
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Source: Best Practices in Artificial Intelligence, Policy Management PowerPoint Slides: AI Vision & Governance Toolkit: Policies, Forms & Registries PowerPoint (PPTX) Presentation Slide Deck, Synergie Consultation | Cyber & GRC
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