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AI Policy & Acceptable Use Framework
A board-approvable AI policy covering ownership, risk appetite, approval paths, and acceptable use boundaries. Structured to satisfy SR 26-2 and OCC Bulletin 2026-13 language on governance accountability.
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Six ready-to-use templates covering every governance domain regulators, auditors, and boards will ask about -- delivered as a single ZIP download.
One-time purchase. Instant ZIP download. No subscription.
$99
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SR 26-2 and OCC Bulletin 2026-13 have reset expectations for how financial institutions govern AI risk. Examiners are asking who owns AI risk, which use cases are approved, how vendors with embedded AI are reviewed, and where the evidence lives. For community banks, credit unions, and fintechs, the honest answer is often: we don't have that documented yet.
Building a governance program from scratch takes months. Retaining outside counsel or consultants to draft the foundational documents costs tens of thousands of dollars. And the window before your next exam, audit cycle, or board inquiry is shorter than you think.
The AI Governance Starter Kit gives compliance and risk teams a working foundation -- six documents that cover the governance domains regulators and auditors focus on most -- so you can stop drafting from a blank page and start closing gaps immediately.
Six documents covering every governance domain your next exam, audit, or board review is likely to probe.
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A board-approvable AI policy covering ownership, risk appetite, approval paths, and acceptable use boundaries. Structured to satisfy SR 26-2 and OCC Bulletin 2026-13 language on governance accountability.
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Thirty-question due diligence template for assessing AI embedded in third-party tools. Covers model explainability, data handling, bias controls, and ongoing monitoring obligations aligned to third-party risk management expectations.
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Defines model inventory scope, validation requirements, challenge processes, and ownership assignments. Maps directly to SR 11-7 and SR 26-2 model risk management expectations for institutions using vendor or internal AI models.
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Quarterly board reporting template covering AI exposure summary, approved use cases, open risk items, and remediation status. Designed for non-technical board members and formatted for inclusion in existing risk committee packages.
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Spreadsheet-based tracker for assigning evidence owners, documenting control status, and maintaining an audit-ready record across all six governance domains. Built for exam and internal audit preparation.
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Step-by-step playbook for identifying, escalating, containing, and documenting AI-related incidents. Includes notification thresholds, response roles, regulatory reporting triggers, and post-incident review format.
Built for the people responsible for AI risk at institutions that don't have a dedicated AI governance team yet.
Each document is ready to adapt -- not a theoretical framework that requires months of customization before it's usable.
One-time purchase. Instant download. No account required.
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