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Building a Claude Governance Framework
The definitive guide to building enterprise-grade AI governance for Claude deployments — covering acceptable use policies, risk tiering, approval workflows, compliance mapping (SOC2, GDPR, HIPAA), and board-ready AI oversight reporting. Based on governance frameworks we've built for 200+ enterprise organisations.
ClaudeReadiness Research · 2024
Building a Claude Governance Framework
What You'll Learn
- The 5-tier Claude risk classification model — how to categorise every AI use case by data sensitivity, output impact, and regulatory exposure, so the right controls apply automatically
- Acceptable use policy templates for Claude that satisfy legal, security, and HR requirements — ready to adapt for your organisation's specific risk tolerance
- Approval workflow design: how to build fast, lightweight approval processes that don't create governance bottlenecks while maintaining appropriate oversight
- Compliance mapping for Claude: how Anthropic's data handling, Constitutional AI, and model card documentation maps to SOC2, GDPR, HIPAA, and ISO 27001 requirements
- The 12 governance metrics your board and audit committee should be tracking — and how to build a quarterly AI oversight report that builds executive confidence
- Incident response procedures for AI — what to do when Claude produces incorrect, inappropriate, or potentially harmful outputs, and how to prevent recurrence
Inside This Paper
01
The Governance Imperative
Why ungoverned AI creates legal, reputational, and regulatory risk — and the business case for building proper governance before problems arise
02
Risk Classification Framework
The 5-tier risk model that categorises every Claude use case — with pre-built classification matrices for common enterprise workflows
03
Policy Design
Acceptable use policy templates, data handling rules, output review requirements, and human-in-the-loop decision criteria
04
Approval & Oversight Workflows
Lightweight approval processes, new-use-case intake procedures, and oversight committee structure that works for organisations of any size
05
Compliance Mapping
How Claude's architecture and Anthropic's policies map to SOC2, GDPR, HIPAA, CCPA, ISO 27001, and the EU AI Act requirements
06
Board & Executive Reporting
The 12 AI governance KPIs, quarterly board reporting templates, and how to communicate AI risk in terms non-technical executives understand
07
Incident Response
AI incident classification, response procedures, post-incident review process, and continuous improvement framework
Who It's For
General Counsel & Legal Teams
Policy templates, compliance mapping, and the legal risk framework for responsible Claude deployment across the enterprise
CISOs & Risk Officers
Security controls, data handling governance, and audit-ready documentation for Claude deployments in regulated environments
AI Committee Leads
Governance structure, oversight workflows, and board reporting frameworks for enterprise AI committee chairs
C-Suite & Board Members
Executive summary of AI governance obligations, risk oversight responsibilities, and the business case for formal governance investment
"Our board was asking hard questions about AI risk, and we didn't have satisfying answers. The governance framework in this paper gave us a complete structure — risk classification, approval workflows, compliance mapping, and a board reporting template — all in one place. We implemented it in 45 days and our next audit committee meeting had none of the AI concerns that had come up in prior quarters. The compliance mapping chapter alone saved us weeks of legal research."— General Counsel, Financial Services Firm (1,800 employees)
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44-page governance guide with policy templates. Work email required.
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