How to manage AI policy exceptions effectively. SOP for exception requests, approval workflow, and governance oversight.
Practical framework for identifying, assessing, and mitigating bias in AI systems. Includes risk register, fairness criteria guide, and testing methodology.
Translate AI ethics principles into operational practices. Seven core principles with practical implementation guidance and template.
Framework for ranking and selecting AI initiatives based on value, feasibility, and risk. Includes scoring template, portfolio balance guide, and decision tree.
Complete template and methodology for building AI business cases that secure executive buy-in. Includes one-pager format, financial analysis framework, and tips.
Systematic approach to identifying AI capability gaps across five domains. Includes assessment matrix, risk register, and development planning framework.
Complete guide to AI audit preparation. Includes 90-day SOP, documentation checklist, common findings to avoid, and evidence preparation best practices.
Strategic analysis of free AI tools (ChatGPT free tier, Claude, Gemini free) vs. paid AI training platforms—including capability gaps, security risks, and the $50-500/employee inflection point where paid training pays for itself.
How to tailor AI communication for boards, employees, customers, investors, and regulators. Includes CAR framework, stakeholder matrix, and RACI for communication.
Design an AI executive dashboard that provides visibility without overload. Four quadrants covering value, adoption, risk, and portfolio health with template included.
A practical framework for executive AI decision-making. Covers five decision types, criteria matrices, decision trees, and common traps to avoid.
How to create effective AI briefings for executives. Includes SIRA framework, one-page template, audience tailoring guide, and practical best practices.
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