Where does AIactually fit?
The question we hear most from leaders isn't whether to use AI. It's where. This page is how we think it through with clients. Take it and use it.
AI shows up three ways. Who's driving?
AI isn't one thing you adopt.
Hand it off
The formal term: automation.
The recurring, rule-based work: same steps, same shape, every cycle. AI carries it.
Pulling the same numbers into the same monthly summary.
What stays human: Someone still owns the output.
Work it together
The formal term: augmentation.
The thinking work: drafting, analyzing, weighing options. The person steers the whole way.
A first draft in minutes that you shape into the real thing.
What stays human: Every call along the way.
Set it running
The formal term: agency.
AI acts on your behalf inside limits you set: clear checkpoints and review loops.
A request comes in, gets sorted and routed, and a person approves anything unusual.
What stays human: The guardrails, and the final say.
Most operations use all three. The skill is telling them apart, because each one is set up, checked, and trusted differently.
Fluency isn't technical. It's judgment, practiced.
Working well with AI doesn't require an engineering background. It comes down to four skills every experienced operator already recognizes.
Choose
Knowing what to hand off and what to keep. Not everything belongs with AI.
Ask
Saying what you actually need: the context, the constraints, what good looks like. The quality of what comes back is set by the quality of what goes in.
Judge
Reading what comes back with a practiced eye: what's right, what's off, what's missing.
Own
Staying responsible for what goes out the door. However the work got done, your name is on it, and your standards apply.
The thinking here is grounded in Anthropic's AI Fluency framework, which our team is certified in. These four words are how we apply it inside real operations.
Not everyone needs to go deep, and that's fine.
Every office had someone who was great with spreadsheets, and plenty of genuinely good people who never touched a formula and did their best work somewhere else entirely. AI is the same shift, one layer up.
Not everyone on your team needs deep AI fluency for the business to move forward. What matters is a champion close to the work with real room to run, and leadership going first, because the shift sticks when your team sees you make it too.
Could AI carry one of your tasks? Try it now.
Pick one task your team does every week and answer six questions about it. Nothing is recorded, and nothing leaves this page.
Does the task repeat on a rhythm, daily, weekly, or monthly?
Could you write down the rules for how it's done?
Do the inputs arrive in roughly the same shape each time?
Does it take meaningful team hours every week?
If it were done imperfectly on day one, would a person catch it before it mattered?
Would a person still review the result before it reaches a client, your board, or your books?
0 of 6 answered
Clarity first.Then the build.
If you're carrying the question of where to start, that's the conversation we like most.