Every company defines Delta ARR, TCV, and CMRR a little differently. Nue's Pricing Engine ships with standard formulas for all of them. The gap between those formulas and how your Finance team actually counts revenue has always meant a ticket, a workaround, or a spreadsheet reconciliation after the fact.

Price Builder AI closes that gap. It lets RevOps and Deal Desk redefine any booking metric in natural language, test it before it ever touches a live quote, and trust that the definition holds everywhere that product is quoted.

Most systems give you one way to calculate ARR, TCV, or CMRR, and it rarely matches the definition your board deck or your revenue waterfall already uses. A company amortizing revenue evenly across a ramp needs a different Delta ARR than one that annualizes committed monthly revenue. When the system can't flex, the fix has always lived outside it: a manual adjustment, a custom report, or an engineering request that takes weeks to land.

Nue takes a different approach. Booking metrics run through the same governed Pricing Engine as every other calculation, but the formula itself is no longer fixed. RevOps defines it once, in natural language, and the engine applies it everywhere.

This week's demo drop shows a rep quoting on a 36-month term. The price is right, but RevOps wants Delta ARR to reflect committed monthly revenue, not Nue's default calculation.

Instead of fixing that after the fact, RevOps opens Price Builder AI and describes the rule in natural language. AI turns it into a plugin scoped to that specific product, no code written by hand, and no global override touching every other quote in the system. Before it goes live, RevOps can preview and test the rule against sample data, so nothing reaches a real quote unproven. Once it's activated, the quote recalculates and Delta ARR follows the business's own definition. The rep never has to remember a workaround, and RevOps never has to circle back and correct the number later.

Set the rule once, and it holds on every quote for that product from that point on. No code, no follow-up ticket.

This demo shows a new quote. The same plugin architecture extends to change orders, so the custom rule carries forward into upgrades, downgrades, and renewals rather than resetting to the default calculation.

Modern GTM motions don't run on one pricing model anymore. The same deal desk might be quoting a seat-based contract, a usage commitment, and a hybrid bundle in the same week, each with its own idea of what counts toward ARR, TCV, or CMRR. Standard, one-size-fits-all formulas were built for a single pricing model, not for a business running several at once.

Price Builder AI is what lets finance metrics keep up with that shift. Instead of Finance and RevOps reconciling definitions after the fact for every new pricing motion, they set the rule for each metric once, per product or motion, and Nue applies it consistently everywhere that pricing model shows up. As the business adds new packaging, usage tiers, or channels, the metrics stay accurate without a new engineering cycle for each one.

Every custom metric rule is scoped to one product, not a global override, and RevOps can preview and test it against sample data before it ever touches a live quote.

That is what makes this defensible rather than opaque: Finance can trace exactly which rule ran, on which product, on any given quote, instead of taking the math on faith. It's a defensible audit trail, showing which rules are live and what they do, instead of a black box. For a metric that feeds the board deck, that trail is the difference between a rule Finance can stand behind and a black box they have to take on faith.

That consistency is the point, and it lands differently depending on where you sit:

• RevOps configures the rule once, in natural language, instead of filing a ticket and waiting on an engineering queue. 
• Finance gets audit-ready ARR reporting, not just matching numbers. The ARR, TCV, and CMRR calculation Finance already signed off on is the calculation running in the system, provably, with no quarterly reconciliation project needed to prove it.
• Deal Desk never has to explain a metric mismatch on a quote. The number the rep sees is the number Finance will recognize, because it's the same calculation running in both places.

Booking metrics were never supposed to be a fixed formula you work around. Price Builder AI now makes them a rule you set once and trust everywhere.