If you are a compliance officer, AI governance lead, or quality assurance manager at a pharmaceutical or life sciences organization, this playbook was built for you.
Regulatory scrutiny around AI use in clinical research, drug discovery, and patient data processing is intensifying. You are under pressure to demonstrate documented risk assessments for AI systems, ensure model transparency for auditors, and align with emerging requirements from the FDA, EU AI Act, and data protection authorities. At the same time, integrating AI governance into existing GxP quality systems and cybersecurity controls remains a fragmented, resource-intensive challenge. Without a structured approach, your team risks non-compliance findings, delayed product approvals, and reputational exposure when deploying AI-enabled tools in regulated workflows.
Engaging external consultants to design an AI risk management framework can cost between EUR 80,000 and EUR 250,000 depending on scope and jurisdiction. Building an internal capability requires dedicating 2 to 3 full-time staff for 4 to 6 months to map controls, draft policies, and align with multiple regulatory expectations. This playbook delivers the same foundational structure, documentation templates, and cross-framework alignment for a one-time cost of $395.
What you get
| Phase | File Type | Contents | File Count |
| Foundation | Domain Assessments | 7 assessments covering Mapping, Governance, Data Lifecycle, Model Development, Deployment, Monitoring, and Decommissioning. Each contains 30 targeted questions for AI systems handling clinical or operational data. | 7 |
| Assessment | Risk Workbooks | Structured spreadsheets guiding evaluation of AI system risks, including sample clinical data processing model assessment with scoring logic, risk tiering, and mitigation tracking. | 10 |
| Implementation | Evidence Collection Runbook | Step-by-step guide for gathering technical, procedural, and documentation evidence required to validate AI RMF implementation across departments. | 1 |
| Implementation | RACI and Work Breakdown Structure (WBS) Templates | Editable charts defining roles for AI risk activities across IT, compliance, R&D, and quality units. Includes milestone planning for phased rollout. | 4 |
| Validation | Audit Prep Playbook | Checklist-driven process for preparing internal and external audits, including document indexing, evidence packaging, and auditor Q&A preparation. | 1 |
| Integration | Cross-Framework Mappings | Detailed matrices linking NIST AI RMF subcategories to controls in ISO/IEC 23894, FDA SaMD guidance, GDPR, and GxP principles (including ALCOA+ data integrity). | 40 |
| Ongoing Use | Policy Outlines and Procedure Drafts | Modifiable templates for AI governance policy, model review procedures, third-party AI vendor assessment, and incident reporting workflows. | 1 |
Domain assessments
Mapping: Evaluates the identification and categorization of AI systems in use, including data sensitivity, intended use, and regulatory classification.
Governance: Assesses the existence and effectiveness of oversight structures, accountability assignments, and escalation pathways for AI risk decisions.
Data Lifecycle: Reviews data provenance, quality controls, bias detection, and privacy safeguards throughout the data pipeline feeding AI models.
Model Development: Examines documentation practices, testing rigor, version control, and validation methods applied during model training and refinement.
Deployment: Covers operational readiness, integration with legacy systems, user training, and change management protocols prior to production release.
Monitoring: Checks for ongoing performance tracking, drift detection, anomaly alerts, and revalidation schedules post-deployment.
Decommissioning: Verifies procedures for secure model retirement, data deletion, and archival of model artifacts and decision logs.
What this saves you
| Task | Time with Internal Resources | Time with This Playbook |
| Develop AI risk assessment criteria aligned with NIST AI RMF | 80, 120 hours | 4 hours (adapt templates) |
| Map AI controls to GDPR and GxP data integrity requirements | 60, 100 hours | 6 hours (use cross-mappings) |
| Prepare audit-ready documentation package for AI system review | 40, 70 hours | 10 hours (follow runbook) |
| Define RACI for AI governance across R&D, IT, and QA | 30, 50 hours | 3 hours (customize template) |
| Conduct initial risk assessment for one AI system | 25, 40 hours | 8 hours (use workbook) |
Who this is for
- Compliance officers responsible for aligning AI initiatives with data protection and quality system regulations
- Quality assurance managers overseeing GxP compliance in R&D and manufacturing environments
- AI governance leads establishing centralized oversight for machine learning projects
- IT risk specialists integrating AI risk into enterprise cybersecurity frameworks
- Regulatory affairs professionals preparing submissions involving AI-based tools or analyses
- Data privacy officers ensuring GDPR and HIPAA alignment in AI model development
- Pharmacovigilance leads evaluating AI systems used in adverse event detection or signal analysis
Cross-framework mappings
NIST AI Risk Management Framework (AI RMF) v1.0
ISO/IEC 23894 , Risk Management for Artificial Intelligence
FDA Software as a Medical Device (SaMD) guidance documents
General Data Protection Regulation (GDPR) , Articles 5, 9, 13, 15, 25, 35
GxP principles including 21 CFR Part 11, EU Annex 11, and ALCOA+ data integrity standards
What is NOT in this product
- Custom consulting services or direct support from the seller
- Software tools, code libraries, or AI model monitoring platforms
- Legal advice or regulatory interpretation specific to your jurisdiction
- Pre-filled templates with your organization's information or system details
- Training sessions, webinars, or certification programs
- Updates for future versions of NIST AI RMF or other frameworks
- Validation of your AI models or systems by an independent body
Lifetime access and satisfaction guarantee
You receive permanent download rights to all 64 files with no subscription, no login portal, and no recurring fees. The files are delivered in standard formats (PDF, XLSX, DOCX) for immediate use within your organization's document management system. If this playbook does not save your team at least 100 hours of manual compliance work, email us for a full refund. No questions, no friction.
About the seller
The creator has 25 years of experience designing compliance frameworks for regulated industries. They have analyzed 692 regulatory and industry standards and built 819,000+ cross-framework mappings to support practical implementation. Their resources are used by 40,000+ practitioners across 160 countries in pharmaceuticals, medical devices, financial services, and critical infrastructure sectors.
