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 What a proper AI audit trail captures, how it maps to SOC 2, HIPAA, and EU AI Act requirements, and why real-time logging beats after-the-fact 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 regulated companies: ownership, risk tiers, approval gates, and audit logging, 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, audit controls, and the governance that produces evidence. -
AI Readiness Assessment What an AI readiness assessment actually evaluates An AI readiness assessment examines six dimensions, from data and governance to skills and infrastructure, to produce a prioritized AI roadmap for your team. -
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. How to discover unapproved AI tools, classify risk, set policy, and offer sanctioned alternatives before a breach. -
AI Governance The hidden risks of ungoverned AI agents (and how to contain them) Ungoverned AI agents carry real risks: prompt injection, data exfiltration, no audit trail. Learn the containment pattern 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.
Put it to work
The material that goes with the reading.
Starter policies you can edit, calculators that run your own numbers, and plain definitions for the terms that get used loosely in vendor decks.