Pricing. The rate book, tuned weekly instead of yearly.
Quoting is one deal at a time; the rate book is every deal at once. Most books are rebuilt annually in a spreadsheet, from last year’s costs and a margin target — so segments that would bear more are left flat, segments losing on price are found in the win/loss review a quarter late, and nobody can say what a change would have earned.
Eridian builds pricing systems that hold the whole book against the Ontology — cost to serve, competitive position, elasticity by segment — and propose the moves worth making. Elasticity is estimated once and applied deterministically, so the same book and the same demand return the same price every run; AI explains the move and drafts the customer-facing rationale.
A live rate book with cost-to-serve and competitive position attached to every line, so a price is never set against last year’s numbers.
Segment-level elasticity, re-estimated on a schedule you control — with the proposed move, the revenue at stake, and the volume you would risk to take it.
Guardrails that hold: floors, customer-specific commitments, and most-favoured-nation terms enforced before a change can publish.
The objects this use case reads and writes — stood up during the diagnostic, shared with every use case that follows.
This is a diagnostic candidate: two to three days on your floor, the relevant slice of the Ontology stood up from your data, and a working first pass you can judge in production terms — not a deck.
AI stopped
being a demo.
Nobody sent a memo.
Not sure where to start? Book a half-hour with an engineer who ships frontier AI weekly. You’ll leave knowing what’s possible and what’s still a demo.
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