When a project wraps, it writes the retro you never get around to. What went well, what dragged, time spent against estimate, the real profit margin, and concrete lessons for next time. Every finished project quietly makes the next one more profitable.
Calculates what the project actually earned after the hours it really took. You learn which work pays and which just feels busy.
Lines up logged hours against your original quote and shows the gap. Your next estimate stops repeating the same mistake.
Separates what genuinely went well from what quietly cost you. It reads the time and task history, not your memory of it.
Boils the project down to a few changes you can actually apply, like cap revision rounds or pad the refinement estimate.
Saves the retro to the client record, so the next project with them opens with what you learned the last time.
Flags where the work drifted from the signed scope and what the unbilled extras cost, so the next agreement closes the gap.
Pulls the full project history, time, and budget to reconstruct what happened.
Reads the whole arc of the project, from kickoff to the final invoice.
The honest debrief that makes the next quote sharper.
No new dashboard to learn. Just message it on WhatsApp, Telegram, or Slack.
Which clients and projects make you the most per hour? AI calculates effective hourly rate across everything.
"How's the TechStart project?" AI pulls tasks, time, budget burn, milestone progress — one-paragraph summary.
For fixed-price projects: AI tracks hours against budget. Warns you when you're at 50%, 75%, and 90% of estimated time.
End of quarter. AI compiles: revenue, clients acquired/lost, average project size, busiest months, growth trends.