Every time I set up AI for a leadership team, someone asks the same question in the first hour. "Can we just connect it to Power BI?" Or the data warehouse, or whatever dashboard holds the real numbers.
The instinct is right. AI is far more useful when it can see your actual figures instead of you pasting them in. The usual way of doing it is the trap.
The trap: wiring AI into your live stack
There's a whole category of tooling now that lets an AI talk directly to your BI stack. Model context servers for Power BI, connectors into the warehouse, integrations that promise your AI can query everything live.
For a data analyst, some of that is great. For a manager who wants a faster board summary, it's the wrong tool. It's fragile (half of it is in preview and breaks when the tool updates), it needs IT and admin consent that takes weeks, and it usually only works while some desktop app is open on someone's machine. You spend a month wiring it up and the leader still can't get their Monday summary without help.
That's the analyst-grade pattern. It has its place, deep in the data team. It's the wrong place for a leader.
The exec-grade pattern: a sheet the AI can read
Here's what I do instead, and it takes about twenty minutes.
Pick the five to ten numbers a leader actually cares about. Not everything in the warehouse. The handful they'd want on a napkin: revenue this month, churn, pipeline, the two or three KPIs their week revolves around.
Export those to a place the AI can already read. A shared sheet, a file in SharePoint, wherever your team already keeps things. Update it on whatever cadence makes sense, weekly is usually plenty.
Then point the AI at that. Now it can write the board summary, spot the number that moved, draft the "here's where we are" email, all from the real figures, with zero fragile plumbing.
Why boring wins here
The exec-grade version looks less impressive in a demo. No live query, no "it's connected to everything." But it survives contact with reality, and that's the only test that matters.
It doesn't break when a vendor ships an update. It doesn't wait on a tenant-wide consent from IT. It scales across the whole leadership team the same afternoon, because a shared sheet is a shared sheet whether it's one leader or twenty. And when someone asks "where did that number come from," you can point at the sheet. That traceability is worth more than any integration.
I learned this the practical way, sitting with managers who'd been promised the fancy version and never got it working. The moment we swapped to a sheet, they had a usable AI the same day.
The line between the two
So the rule I use: the analyst who lives in the data can have the deep integration. The leader needs the five numbers, explained, from a source they can point at.
Get that line wrong and you spend a month building analyst-grade plumbing for someone who needed a sheet. Get it right and a leader has trustworthy AI by the end of the afternoon.
This is one piece of the bigger setup (I walk through the whole thing in the governance-first playbook). I put these out for free on purpose. The reading is easy. Sitting in the room, pulling the right five numbers out of a warehouse nobody fully understands, and getting a nervous leadership team to actually use the thing, that's the part I charge for.