Blog
Field notes for the AI-native company.
Analysis, patterns, and sharp observations from the work of building with AI.
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 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 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 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
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 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 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
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.
AI Measurement
Measure AI at the handoff
A practical way to tell whether AI improved the workflow or only created more material for humans to inspect.
AI Transformation
Context is the new workflow
Why AI-native teams treat policies, examples, customer history, and decision rules as infrastructure.
Agent Operations
Agents need owners, not sponsors
The operating roles, review loops, and accountability model that keep agents from becoming abandoned demos.
AI Transformation
The AI-native operating model
Why AI transformation is an operating model problem before it is a tooling problem.
2026 Tenex. All rights reserved.
