Blog
Field notes for the AI-native company.
Analysis, patterns, and sharp observations from the work of building with AI.
AI Governance
What AI Governance Do You Need for Safe Employee Use?
The AI governance you need so employees can use AI safely: one policy, paved-road tools, real monitoring, and a named owner — installed, not laminated.
AI Adoption
How to Train Employees for Real AI Adoption, Not Theater
How to train employees for real AI adoption: pair on live work, name an owner, measure weekly active use — not licenses and lunch-and-learns.
AI Adoption
How to Preserve Trust and Brand Voice While Using AI
Preserve customer trust, brand voice, and customer experience while using AI: disclose plainly, engineer a voice spec, and keep high-stakes moments human.
AI Operations
Moving Beyond AI Pilots Into Everyday Operating Processes
Most AI pilots never reach everyday operating processes. How to move beyond pilots: pick owned workflows, ship to production, train operators, hand off.
AI Strategy
Buy AI Tools, Use ChatGPT, or Build Agents? How to Decide
Should you buy AI point tools, roll out ChatGPT or Claude, or build internal agents? A decision framework built on failure data, not vendor decks.
AI Governance
How to Prevent Sensitive Data Leaks Into AI Tools
How to prevent sensitive data from leaking into AI tools: replace bans with sanctioned paths, enterprise controls, and training that holds at handoff.
AI Strategy
Where AI Creates Measurable ROI in Your Business
Most AI pilots never reach the P&L. Where AI creates measurable ROI: the functions, the failure data, and the workflow redesign that separates the 6%.
AI Operations
Which Workflows to Automate First (and Which Stay Human)
Which workflows should you automate first? Start high-volume, rule-heavy, and measurable — and keep judgment and accountability human. The filter inside.
AI Strategy
How to Control Token, Seat, and Tool-Sprawl AI Costs
Token bills, idle seats, and overlapping tools compound quietly. How to control AI costs by tying every dollar of spend to a named workflow and owner.
AI Strategy
Who Should Own AI: CEO, COO, CIO, CTO, or Chief AI Officer?
Who should own AI internally? The CEO owns the bet; one operating executive owns the rewiring. A Chief AI Officer only works with real authority.
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