Evidence-based AI transformation for high-stakes revenue workflows. We reconstruct a pursuit you already ran and replay it with AI under real conditions— so you invest in what measurably works. When you can run it yourselves, you should stop paying us.
pursuit documents processed — RFPs, RFIs, DDQs, task orders, executive summaries
capture and proposal workflows tested in production
professionals trained
in estimated impact
THE OPERATOR’S RECORD, PRIOR EMPLOYERS — DETAILS ON THE ABOUT PAGE
Public buying scores how well you respond, not how well you deliver. Those are two different jobs and only one of them is yours. What happens at a company without a proposal function is predictable, and it is close to the same every time.
The week it is due, by whoever has capacity. It is expensive in a way nobody budgets for, and it is the most expensive engineering time you own.
A page limit, a missing form, an answer filed in the wrong volume. One company lost an entire bid because a graphic title page pushed its cover one page over the limit. The technology was never scored.
A proposal is a binding offer. “Guaranteed uptime” written once is something you perform at your own cost for years, sometimes with the proposal pulled into the contract wholesale.
A capture or proposal manager runs $165,000 to $260,000 fully loaded. Two to three months to an offer, a few weeks to a start, two more before they are useful. Five to seven months before that seat produces anything. You are also hiring for a job nobody at your company can evaluate yet.
They bring a team, bill hours and leave. You end up with a submitted proposal and a binder. Nothing at your company is better than it was, so next bid you call them again.
Built by people who have never written a proposal, so they automate what looks mechanical from outside rather than what actually is. They also assume people to run them and a library of your own content to draw from. Unused by month three.
The standard proposal process, the one Shipley wrote down and everyone copies, is built for coordinating a lot of people. It is built that way because the mechanical work used to need a lot of people.
Reading a 300-page solicitation and pulling out every requirement was a week of somebody’s life. Checking a 200-page draft against 400 requirements was another week. Matching every “shall” to the place you answered it was done by hand.
Whether we're replaying a finished pursuit or running a live one, the work leaves three things behind — and they're yours.
Past performance, resumes, technical write-ups, prior answers, pricing history, and why you won and lost. Organised so it can be found and reused. Most companies have this scattered across drives and inboxes, which means they do not have it.
They pull requirements out of a solicitation, check a draft against them, find every promise you have made, and draft from your own material in your own language. Configured for your market rather than generic.
When you do hire, that person starts with a working system instead of an empty folder. They inherit a function rather than a pile.
If it can see the final answer and use cleaned-up knowledge, it’s a demo, not a pilot. Pursuit Replay reruns a pursuit you already finished — AI under time-locked evidence, real controls, and a blind review — and hands you the investment decision. Bidding something live right now? A Sprint reads one bid in 72 hours.