Revenue Intelligence benchmarks every client against a peer cohort built from their own taxonomy, prices the product gap in pounds, and scores how much the evidence is worth. Conviction is kept separate from expected value throughout — a large opportunity the bank cannot justify is not the same as a small one it can.
The sequence is the logic. L1's taxonomy is the shared language — KYC.AI uses it on every new onboard, Revenue Intelligence benchmarks against it, Ambient Capture builds the corpus that makes L4 and L5 sharp. Once L1–L3 are in place the CRM is ambient: capturing without asking, surfacing without waiting. L4 and L5 are what that makes possible.
Each client is one row: the light mark is total expected revenue, the dark mark is that figure discounted by conviction. The list is ordered by the dark mark. Where the gap between the two marks is wide, the opportunity is large but the evidence is thin — which is why ranking on the headline figure alone puts the wrong client at the top. Select a row to open it.
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The same numbers, for anyone the charts do not serve — and for pasting into a challenge session.