Your Firm Is Leaking Billable Time in Meetings. We Plugged Ours.

Clock with meeting time captured into time entries

Ask any principal at an engineering or professional services firm where billable time goes to die, and you’ll get the same answer: it’s not the big project blocks. It’s the 20-minute client call, the quick coordination meeting, the “can you hop on for a sec” that never makes it onto a timesheet. Nobody’s stealing time. It just evaporates between the meeting ending and the next thing starting.

The industry-standard fix is nagging people to fill in timesheets. That’s been failing for 50 years. Here’s what we did instead. Second of our three implementation posts proving Stage 3 on the roadmap.

What it actually does

When a Teams meeting with a client ends and the transcript is ready, the system wakes up on its own. It reads the transcript, figures out what the meeting was about, drafts structured notes, proposes a time value, and matches it to the right client ticket or project.

Then, and this is the part people love, it sends the tech a card right inside Teams: here’s the note, here’s the time, here’s the ticket, billable yes or no. Edit anything, tap approve, done. The entry lands in our PSA fully formed. Total human effort: about 15 seconds, while the meeting is still fresh in their head.

Nobody reconstructs their Tuesday on Friday afternoon. Nobody rounds a 40-minute call down to zero because logging it felt like more work than the call.

The numbers

Build cost: about $4,500, one time. Run cost: roughly $50/month in AI usage.

Return: in our first weeks running it, techs are recapturing 15 to 20 minutes of billable time per day that previously went unlogged. Run your own math with your headcount and rates. As a reference: one person recovering 15 minutes a day at a $150/hr bill rate is about $780/month. A ten-person billing team is north of $90,000 a year, from time you were already working and simply not capturing.

That’s the character of this automation: it doesn’t cut a cost, it recovers revenue you’d already earned. That’s why it had the fastest payback of anything we built, under 60 days.

There’s a second-order benefit too. Because entries are generated from transcripts, the notes are actually good. Detailed, consistent, written at the moment. When a client questions an invoice, you have a record of what happened in the meeting, not “1.0 hr, call.”

How it’s built (the tease)

The pipeline listens for transcript-ready events from Microsoft 365, so there’s no polling and no browser extension. AI does what AI is good at, summarizing conversation into structured notes, and a human approval gate does what humans are good at, catching the edge cases. A simple naming convention in meeting invites handles the client-and-project matching automatically.

The design principle is the same one that runs through everything we build: AI drafts, a human approves, software files. Nothing enters your billing system without a person tapping yes, which is exactly why techs trust it enough to actually use it.

Want this without building it?

If your firm bills time, this is likely a top-two automation by payback, and it’s in our AI Managed Services catalog, adapted to your PSA or project system. The AI Business Assessment will tell you where it ranks against everything else in your operation. Early Access, limited spots per quarter.

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Brian McCarthy

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