scope.ai turns your project history into proposal-ready scope, staffing, and margin assumptions — so every estimate reflects what your firm actually knows.
A discovery call ends. Notes live in someone's laptop. A proposal gets written from scratch — again. The team that delivered the last similar project never gets asked what actually happened. The margin assumptions that burned you two engagements ago get baked in one more time.
It's not a people problem. It's a memory problem.
Discovery transcripts, past SOWs, project notes — the context that should inform your next proposal is scattered across tools and inboxes. None of it feeds back into your estimates.
Your last few similar engagements probably ran over on hours. Your next proposal doesn't know that. The same mistakes compound silently across every fixed-fee project you send.
You commit to a timeline before confirming the right people are actually available. You find out they're not after the SOW is signed.
The more context scope.ai can read — past SOWs, timesheets, call transcripts, Slack threads — the sharper every proposal becomes. Start with what you have. It gets smarter from there.
Connect your tools once. scope.ai reads your project history — Drive, Slack, Harvest, Granola — and builds a complete picture of where estimates broke down, where overruns happened, and why.
For every new proposal, scope.ai finds your closest past projects, shows you the estimated vs. actual breakdown, and generates a scoping recommendation that already accounts for your historical overruns.
scope.ai generates a polished, client-ready proposal with your firm's identity, AI-drafted case studies pulled from your actual project history, and a fee structure calibrated to protect your margin.
That's day one. The longer you use scope.ai, the more it knows about your firm — and the harder it becomes to get caught off guard.
Most tools give you the same output on day 300 as day one. scope.ai compounds. Every project you close teaches the system something new — and feeds it back into the next proposal.
Run scenarios across your pipeline against real team availability. scope.ai flags conflicts, gaps, and opportunities — before you sign a SOW you can't deliver.
Every completed project gets compared to its original estimate. scope.ai builds a margin model specific to your firm — by work type, client profile, and team composition.
scope.ai surfaces emerging projects from the artifacts you already create — transcripts, notes, and Slack threads — and turns them into proposal starters before someone else gets there first.
Book a 30-minute intro call. We'll walk you through how scope.ai works, show you a live demo with real project data, and figure out together whether it's the right fit for your firm.