A lender kept its compliance controls and still halved time-to-decision
Approvals were the delay, not the analysis. Every AI action is logged, so risk got faster and safer at the same time.
Fit and intent, explained in plain language, with the handful of inputs that do 90% of the work.
6
Inputs needed
30 min
Time to set up
good enough
Typical accuracy
Fit answers 'should we want them?'. Intent answers 'are they ready now?'. Almost every scoring model that fails does so because it mashes those two into one number.
| Score | Inputs that matter | What it changes |
|---|---|---|
| Fit | Industry, size, location, what they buy | Whether you pursue at all |
| Intent | Recency, page depth, questions asked, budget language | How fast you respond |
What better targeting is worth
Two numbers from your business, pre-filled with the financial services benchmark. Everything else assumes a conservative 20% close rate on the deals AI recovers.
$3,782,976
Extra revenue a year
+56
Extra deals a year
256 hrs
Selling hours returned
Enter what you sell and watch Sales Intelligence build the page, answer the enquiry and route the buyer — in about two minutes.
Financial services benchmark
Biggest leak in financial services: compliance-heavy handoffs losing days between teams.
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Approvals were the delay, not the analysis. Every AI action is logged, so risk got faster and safer at the same time.
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