General Resources
CAIO-Role-Guide
Comprehensive guide to the Chief AI Officer role. Covers core responsibilities (strategy, governance, compliance, operations, culture), organizational positioning, success metrics, required qualifications, first 90 days roadmap, common challenges, and career paths. Essential reading for aspiring CAIOs, executives hiring for the role, and boards establishing AI oversight.
AI Program KPIs & Metrics Guide
Comprehensive metrics guide for measuring AI governance program effectiveness. 30+ KPIs across 6 categories: Program Coverage (inventory, vendor coverage), Risk & Compliance (assessments, findings, regulatory compliance), Process Efficiency (cycle times, throughput), Incident Management (volume, resolution), Training & Culture (completion, awareness), and Value & ROI (cost savings, value delivered). Includes metric definitions, targets, data sources, and reporting frequency.
AI Training Program Outline
Complete AI training curriculum template with 5 audience tiers: All Employees (awareness), Managers (team guidance), AI Project Teams (hands-on governance), Executives & Board (strategic oversight), and AI Practitioners (technical depth). Includes learning objectives, module outlines with timing, format recommendations, implementation roadmap (7-month rollout), and success metrics. Ready to customize and deploy as your organization's AI literacy and responsible AI training program.
AI Use Case Prioritization Matrix
Strategic Excel template for evaluating and prioritizing AI use cases. Weighted scoring across Strategic Alignment (25%), Business Value (30%), Feasibility (25%), and Data Readiness (20%). Auto-calculated priority scores with quadrant classification (Quick Win, Strategic, Fill-In, Deprioritize). Includes detailed scoring criteria definitions, visual quadrant guide, and portfolio dashboard. Essential tool for CAIOs and AI leaders making data-driven investment decisions.
AI Vendor Evaluation Scorecard
Comprehensive Excel scorecard for evaluating AI vendors across 7 categories: Technical Capabilities, Security & Privacy, AI Governance, Data Handling, Compliance & Legal, Support & Service, and Commercial terms. Weighted scoring (1-5) with auto-calculated totals. Includes vendor comparison matrix for side-by-side evaluation and scoring guide with clear thresholds (Approve/Conditional/Caution/Reject). Essential for procurement teams selecting AI tools and platforms.
Generative AI Policy Addendum
Ready-to-customize policy addendum for generative AI tools including ChatGPT, Claude, Copilot, DALL-E, and similar technologies. Supplements AI acceptable use policy with GenAI-specific guidance covering approved and prohibited tools, data protection requirements by classification level, training data concerns, output quality and verification requirements, disclosure obligations, intellectual property considerations, and incident reporting. Essential for organizations managing GenAI adoption.
Employee AI Quick Reference Card
One-page quick reference card for employee AI use covering approved uses, prohibited activities, data handling rules, and the 5 golden rules of workplace AI. Includes checklist of questions to ask before using AI, data classification guide (public, internal, confidential), approved tools list template, and incident reporting contacts. Ready to print, post, or distribute as part of AI awareness training. Customizable template for your organization's specific policies.
AI Governance Committee Charter & Agenda Template
Ready-to-use charter template for establishing your AI Governance Committee with proper authority, composition, and responsibilities. Defines committee authority to approve/reject AI projects, grant policy exceptions, and require remediation. Includes standing member roles (CAIO, CTO, CRO, Legal, CISO, Privacy, CDO), meeting cadence, decision-making procedures, and quarterly Board reporting requirements. Bonus: Complete meeting agenda template with timing and discussion structure.
Chief AI Officer Job Description Template
Ready-to-use job description template for Chief AI Officer positions. Defines CAIO responsibilities across strategic leadership, AI governance and risk management, regulatory compliance, operational excellence, and culture enablement. Includes required qualifications (education, experience, technical knowledge, leadership skills), preferred qualifications, and compensation guidance. Professionally drafted template ready for customization and posting to executive recruiting channels.
Third-Party AI Contract Addendum
Ready-to-use contract addendum for AI and ML vendor agreements. Covers critical provisions including data rights and usage restrictions (no training on customer data), transparency and explainability requirements, performance and accuracy standards, bias and fairness representations, security requirements, regulatory compliance obligations, IP ownership, and human oversight support. Professionally drafted template ready for legal review and customization to your vendor relationships.
AI System Inventory Registry
Comprehensive Excel template for maintaining AI system inventory across your organization. Multi-sheet workbook includes AI System Inventory (system details, risk tiers, ownership), Risk Assessments (bias, privacy, security, performance scoring), Vendor Tracking (contracts, costs, due diligence status), automated Dashboard (key metrics, governance status, compliance overview), and Reference Data for dropdowns. Essential foundation for AI governance and EU AI Act compliance.
Annual AI Governance Roadmap Planner
Strategic planning template for annual AI governance program management. Includes annual objective setting, key success metrics (inventory, compliance, training, maturity), quarterly planning sections with initiatives, milestones, and review templates. Structured for Q1-Q4 planning cycle with accomplishment tracking, lessons learned capture, and year-end review. Essential for CAIOs managing governance programs with Board reporting requirements and continuous improvement focus.
AI Governance Maturity Assessment
Self-scoring maturity assessment for AI governance programs across 8 critical domains: Strategy & Leadership, Organization & Accountability, Policies & Standards, Risk Management, Compliance & Regulatory, Technical Controls, Third-Party Management, and Transparency & Communication. 5-level maturity model (Initial → Optimizing) with specific capability indicators. Includes score interpretation guide and improvement action planning template. Essential for CAIOs tracking governance progress.
AI Governance Program Charter
Board-ready charter template establishing your AI Governance Program with formal authority. Defines program objectives, scope (what AI systems are covered), governance structure (Board, CAIO, Committee roles), operating principles (human oversight, transparency, fairness, privacy, security, accountability), and key governance processes. Includes signature blocks for CEO, Board Chair, and CAIO authorization. Professional template ready for executive and Board approval.
Executive AI Briefing Memo Template
Professional memo template for AI governance communications to executives and boards. Structured format includes executive summary with status indicator, situation/background, key findings, risks and concerns table, recommendations, requested action box, and next steps with owners and timelines. Appropriate for quarterly updates, incident summaries, decision requests, and regulatory briefings. Designed for clear, actionable executive communication by CAIOs and AI governance leaders.
Board AI Presentation Deck
Professional PowerPoint template for quarterly AI governance Board presentations. 10-slide structure includes Executive Summary (status, highlights), AI Portfolio Overview (by use case, risk, provider), Risk Dashboard (categories, top risks), Regulatory Compliance Status (EU AI Act, NIST, state laws), Key Initiatives (progress tracking), Incidents & Issues (summary, severity), Investment & Resources (budget, team), and Recommendations. Board-ready design with customizable placeholders.
Board AI Update Template
Structured Word template for quarterly AI governance Board reports. Includes Executive Summary (status indicators, highlights), AI Portfolio Overview (system inventory, risk levels), Key Metrics (quarter-over-quarter trends), Risk & Compliance Update (top risks, regulatory landscape), Strategic Initiatives (progress tracking), Budget & Resources (spend analysis), and Items for Discussion (action requests). Professional format ready for Board distribution and corporate archives.
AI Security Blueprint - Complete Guide
Comprehensive AI security framework with 50+ controls organized by lifecycle phase and mapped to NIST AI RMF. Includes STRIDE threat modeling adapted for AI, adversarial robustness testing methodology, AI-specific penetration testing playbook, secure development lifecycle, privacy-preserving techniques (differential privacy, federated learning), security monitoring and detection, and incident response runbooks. Deploy in 8-12 weeks. Built for CISOs, Security Engineers, and AI teams.
AI Governance Framework - Complete Implementation Guide
Comprehensive AI governance framework providing everything needed to establish, implement, and mature your organization's AI governance program. Based on EU AI Act, NIST AI RMF, and ISO 42001 best practices. Includes 5-pillar deep dive, organizational structure guidance, implementation roadmap, policy templates, governance maturity model, and KPI measurement framework. Time to implementation: 90-180 days. For C-Suite, Legal, IT, Security, Compliance, and Data Science stakeholders.
AI Ethics Guidelines - Complete Framework
Comprehensive 70+ page AI ethics framework with practical implementation tools. Includes 7-step ethics review process with decision trees, stakeholder impact assessment templates, 4-level ethics training program, ethical decision-making frameworks for complex dilemmas, ethics committee charter template, 25+ real case studies with analysis, ethics scorecard for measuring progress, and remediation playbook for when things go wrong. Everything you need to build and operationalize ethical AI prac...
AI Risk Assessment Matrix - Complete Guide
Comprehensive AI risk assessment framework with 4-dimensional risk model, 25-point scoring system (likelihood × impact), and 50+ pre-built mitigations mapped to risk types. Includes risk scoring worksheet, mitigation playbook, incident response plan template, risk register with tracking, third-party AI vendor risk assessment, quarterly review process, and industry-specific scenarios. Deploy in 2-4 weeks. Built for CAIOs, Risk Managers, and Compliance Officers managing enterprise AI portfolios.
AI Implementation Roadmap - Complete Guide
Complete AI implementation guide taking you from concept to production in 90 days. Includes week-by-week detailed playbook with tasks, owners, and deliverables. Features vendor evaluation matrix, success metrics dashboard, change management plan, use case prioritization tool, budget and resource planning templates, and integration playbook. Expected ROI: 3-5x investment within 12 months for well-executed projects. Budget range: $50K-$500K depending on scope.
AI Security Blueprint - Public Overview
Free introduction to AI-specific security threats and defenses. Understand why traditional cybersecurity isn't enough for AI systems—firewalls can't stop adversarial inputs, antivirus can't detect model poisoning, and SIEM won't catch model extraction. Learn the AI threat landscape including input attacks, model attacks, output attacks, and supply chain attacks. Covers the 5 pillars of AI security. Essential reading for security teams protecting AI systems from emerging threats.
AI Risk Assessment Matrix - Public Overview
Free introduction to AI risk assessment covering the 4 dimensions of AI risk: Technical, Operational, Legal/Compliance, and Ethical/Reputational. Learn why traditional risk assessment fails for AI systems through real-world case studies (Amazon hiring tool, Apple Card discrimination, healthcare AI recalls). Understand risk scoring methodology and why most AI failures occur at the intersection of multiple risk types. Essential foundation for CAIOs building risk management programs.
AI Implementation Roadmap - Public Overview
Free guide to AI implementation fundamentals for executives and project leaders. Understand why 70% of AI projects fail to reach production and how to avoid common pitfalls. Learn the 5 phases of successful AI implementation: Foundation, Pilot, Production, Scale, and Optimize. Includes real-world failure case studies (Google Health, IBM Watson, Starbucks AI) and success factors that lead to 5x better outcomes. Essential reading before starting any AI initiative.
AI Governance Framework - Public Overview
Free introduction to AI governance essentials for executives and AI leaders. Understand why AI governance is critical—from avoiding regulatory violations and reputational damage to preventing security breaches and wasted resources. Learn the 5 pillars of effective AI governance: Strategy & Leadership, Risk Management, Compliance, Ethics, and Operations. Perfect starting point for organizations beginning their AI governance journey or evaluating their current approach.
AI Ethics Guidelines
Free introduction to AI ethics principles for business leaders. Learn the 7 core principles of ethical AI: human agency, fairness, transparency, privacy, safety, accountability, and societal well-being. Includes real-world ethical dilemmas with analysis, common ethics failures to avoid, and guidance on when ethics review is required. Understand why ethical AI matters for trust, reputation, and long-term business success. Start building AI that people can trust.
AI Compliance Checklist - Public Overview
Free introduction to AI compliance requirements across global regulations. Understand the enforcement reality of EU AI Act (€35M fines), GDPR (€20M fines), sector-specific laws (HIPAA, FCRA, SR 11-7), and US state regulations. Learn what non-compliance consequences include: regulatory fines, forced AI shutdowns, executive liability, class actions, and competitive disadvantage. Essential reading for organizations deploying AI who need to understand their compliance obligations.