How to Drive AI Adoption on Non-Marketing Teams
Most AI adoption advice is secretly written for a marketing team’s rhythm. Finance, operations, and HR run on a different one, and that’s exactly where most rollouts on those teams quietly stall.
Copilot Adoption Benchmarks: What Good Actually Looks Like
Licenses assigned and loose ‘monthly active user’ counts both mislead. The three numbers worth tracking instead, and what weak, typical, and strong Copilot adoption actually looks like against them.
Why Copilot Adoption Fails (And What Actually Fixes It)
Copilot rollouts rarely fail at launch. They fail six months later, when curiosity fades and nothing about the daily workflow changed to make Copilot the default.
Article 50 and SB 942: What the EU AI Act and California’s New AI Transparency Law Actually Require
Two unrelated AI transparency laws took effect the exact same day. Most readers are misjudging their own exposure the same way: assuming a size threshold protects them, when the part most likely to actually apply has no threshold at all.
What Leaders Who Actually Drive AI Adoption Do Differently
Teams don’t adopt AI because a leader announced it. They adopt it because the leader started doing something different themselves, in ways the team could actually see, and this guide covers exactly what that looks like.
Managing the Responsible Use of AI: A Practical Guide for Managers
A signed policy sets boundaries, and management controls keep work inside them. A practical guide to the responsible use of AI for managers.
Orchestration: How to Make AI Tools Work Together Seamlessly
AI tool orchestration sounds like an enterprise integration project. For a solo operator or small team, it’s really just naming two or three handoff points between tools on purpose, deciding what crosses each one, and knowing when chaining costs more than it saves.
How to Build Psychological Safety for AI Adoption
A practical guide to the interpersonal climate that decides whether your team is honest about how they use AI: the specific behaviors that signal safety or its absence, what to do in the first ten seconds after someone admits an AI mistake, and how to repair it after a bad reaction.
Botsitting: The Hidden Labor Behind Your Team’s AI Productivity Gains, and How to Design It Away
Your team reports AI is saving them hours a week, but nobody’s days are getting shorter. Botsitting is the reason: the unplanned, unmeasured work of feeding AI context, checking its output, and fixing its mistakes. Here’s what the research actually shows it costs, and five concrete ways to design it out of your team’s workflow instead of just asking people to check more carefully.
AI for Executives: A Personal Playbook for Using AI in Your Own Role
Most ‘AI for executives’ content is written for the job of leading a rollout: picking tools, training a team, reporting adoption. This is the other job: how you personally use AI in your own week, as a thinking partner for the decisions only you can make and a delegate for the work that doesn’t need to be.
