The owner who got a third of his day back.

The problem

The company ran, and still runs, on Google Sheets and Slack. The problem was never the tools. It was that knowing what was going on had become the owner's biggest job: standing status meetings, Slack channels blowing up, every issue turning into an email chain, staff forgetting to loop him in, calls and emails slipping past him.

His own estimate was that about 30 percent of his day went to just finding out what was happening. Not deciding anything. Just finding out.

What we built

Every morning, one briefing: yesterday's events, every Slack channel summarized, his email summarized and categorized, red flags pulled to the top, follow-ups he owes, and today's meetings with agendas generated from what actually happened. He'd be the first to tell you he's not a technology person; the briefing doesn't care.

For anything live, he has commands: current issues, availability, and a workload check that shows how busy any staff member is and what they're working on, by name. Full visibility on demand, without interrupting anyone.

Under the hood it's Claude wired into Gmail, Calendar, Google Sheets, and Slack, plus a custom MCP server we built into the company's internal systems. That connection is read-only and exposes purpose-built tools that return only the most important information. The system that sees everything is allowed to touch nothing, on purpose. It's still growing: a local dashboard that runs the same machinery is in the works, and the next phase automates some of the staff's own busywork.

The part worth noticing

Nothing was replaced. The team still lives in Sheets and Slack, the same tools they knew on day one. Integration means the AI comes to your systems, not the other way around, and for a seven-person company that's the difference between adoption and an expensive migration nobody asked for.

And the access model is the part we'd show a compliance officer: read-only queries, narrow tools, minimum necessary information. Wiring AI into a company's systems without deciding what it may see and do is how AI projects end up in our rescue queue.

The results

In daily use since January. The 30 percent of his day spent staying informed is his number for what came back, and the structural changes back it up: weekly one-on-ones moved to biweekly without losing oversight, agendas now built from real activity instead of memory, and follow-ups that used to slip now surface themselves every morning.

What didn't go smoothly

The hard part of a briefing system isn't summarizing; it's making sure the summary never drops the one thing that mattered. Earning that trust took real tuning, about two months of it, along with teaching the commands to behave and being on hand when something wobbled. That's the honest cost of "it just works": somebody has to be reachable while it learns the business. That somebody is us.

The pattern you can borrow

If you own a business and your actual job has become finding out what's happening in it, this is the shape of the fix: wire the AI into the systems you already run, give it the minimum access it needs, and make it report to you like the operations chief you can't hire yet. That's our integration work, and it starts with naming your systems on a call.