Insights
Notes from the field: deploying AI you can trust.
Senior, plain-spoken writing on where AI creates real leverage, how to govern it, and what goes wrong, drawn from building these systems inside regulated companies.
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AI Governance AI audit trails: proving what your AI did Learn what a proper AI audit trail captures, how it maps to SOC 2, HIPAA 164.312(b), and EU AI Act Article 12 requirements, and why real-time logging beats reconstruction. -
AI FOR Churches AI for churches: a practical, responsible starting point A grounded guide for church leaders on where AI genuinely helps ministry, admin, communications, giving data, accessibility, and where human judgment must lead. -
AI Governance An AI governance framework for companies that can't afford mistakes A practical AI governance framework for mid-market and regulated companies: ownership, risk tiers, permissioning, approval gates, audit logging, and policy, built to survive a compliance audit. -
Hipaa Deploying AI in healthcare without failing HIPAA HIPAA AI compliance for healthcare operators: where PHI enters AI workflows, BAA requirements, de-identification, audit controls, and the governance layer that produces evidence. -
AI Readiness Assessment What an AI readiness assessment actually evaluates An AI readiness assessment examines six dimensions, data, governance, security, use-case value, skills, and infrastructure, to produce a prioritized AI roadmap. Here's what that looks like. -
AI Strategy How to build an AI strategy your board will approve A senior playbook for getting board sign-off on AI: tie initiatives to real outcomes, build a phased roadmap, frame the risk story, and present metrics that matter. -
AI Governance The real cost of an AI compliance gap An AI compliance gap exposes companies to breach costs averaging $4.63M, regulatory fines up to 7% of revenue, and lasting reputational damage. Here's the full risk math. -
Fractional AI Leadership Fractional AI leadership vs. a full-time CTO vs. an AI consultant Fractional AI leadership, a full-time CTO, or an AI consultant, a clear decision guide for mid-market operators choosing how to get senior AI and technology leadership. -
AI Governance Human-in-the-loop AI: where approval gates actually matter Human-in-the-loop AI works best when gates are placed by impact and reversibility, not everywhere. Learn the decision framework and what meaningful oversight requires. -
Shadow AI Shadow AI: how to govern the tools your team is already using Shadow AI is already in your organization. Learn how to discover unapproved AI tools, classify risk, set an acceptable-use policy, and offer sanctioned alternatives, before a breach forces the conversation. -
AI Governance The hidden risks of ungoverned AI agents (and how to contain them) Ungoverned AI agents carry real security and compliance risks: prompt injection, data exfiltration, no audit trail. Learn the containment pattern that regulated businesses need. -
AI Adoption Where to start with AI: a practical first-90-days plan for mid-market teams Not sure where to start with AI? This 90-day plan helps mid-market leaders pick one high-value use case, run a small pilot, and decide whether to scale or stop. -
AI Automation Which business processes to automate with AI first Learn which processes to automate with AI first: high-volume, rules-based work with measurable outcomes. A practical scoring method for AI automation prioritization.