Legal, compliance, and security teams often become the bottleneck on AI adoption. We build Claude governance frameworks that satisfy their requirements while giving employees the clarity they need to deploy confidently and at scale.
Every governance framework we build covers these six areas — calibrated to your regulatory environment, company size, and risk tolerance.
What employees can and cannot do with Claude — by department and by data classification level. Covers personal data, confidential business information, client data, regulated data, and intellectual property. Written for employees, not lawyers.
A clear framework defining what types of data can be sent to Claude and under what conditions. Covers data at rest, data in motion, output data ownership, retention requirements, and cross-border data transfer considerations for multinational organizations.
How your Claude deployment maps to GDPR, HIPAA, SOC 2, ISO 27001, CCPA, FINRA, SEC, and other applicable frameworks. We document the controls in place and the residual risks, so your compliance team has what they need for audits and assessments.
A structured approach to identifying, assessing, and mitigating Claude-related risks — including model hallucination, data leakage, output quality, vendor dependency, and reputational risk. Includes risk registers, mitigation controls, and residual risk acceptance processes.
What to do when something goes wrong — incorrect AI output used in a legal filing, sensitive data inadvertently shared, or an employee relying on Claude for regulated decisions. Clear escalation paths, containment procedures, remediation steps, and post-incident review processes.
The organizational structure for ongoing Claude governance — who sits on the AI governance committee, their responsibilities, decision rights, meeting cadence, and escalation authorities. Includes a vendor risk management process for Claude API integrations and third-party tools built on Claude.
We build Claude governance frameworks calibrated to the specific regulatory requirements of your industry — not generic AI policy templates.
AI model risk management aligned to SR 11-7. Communication supervision frameworks for Claude-assisted client communications. Record retention for AI-generated outputs. Explainability documentation for regulatory review.
BAA documentation and PHI handling procedures. Clinical decision support governance to comply with FDA guidance. Audit trails for AI-assisted clinical documentation. Staff training requirements for clinical AI tools.
Attorney-client privilege preservation for Claude-assisted legal work. Supervision requirements aligned to state bar AI guidance. Competence obligations under Model Rules 1.1. Conflicts screening protocols for AI-assisted work.
"Our compliance team had completely blocked Claude deployment for six months. After engaging ClaudeReadiness to build our governance framework, we had a clear policy, regulatory mapping, and data handling protocols that satisfied every legal and compliance objection. We deployed across 4 departments in the next 90 days."
"The HIPAA compliance mapping and BAA documentation ClaudeReadiness provided was exactly what our privacy officer needed. They understood the regulatory nuances of clinical AI in a way that a generic AI consultancy never would have. The framework passed our external security audit without a single finding."
36 pages · Policy templates included · Regulatory mapping by industry · Updated Q1 2026
Tell us about your organization and regulatory environment. We'll design a governance framework that satisfies your compliance requirements and gives your team the confidence to deploy Claude at scale.
Weekly AI governance updates, compliance news, and Claude policy guidance for enterprise risk and legal teams.