System
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Memory
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Pricing

Pricing

One definition of the approved commercial logic: the packages, the pricing rules, the constraints, and where an exception needs a signature. Held as your GTM system's memory rather than in a spreadsheet someone forked, so quoting is consistent and the rules stay governed as they change.

Learning from every outcome
Discounting climbed without winning more
Average discount up 3 points, win rate flat
2 in 3 discounts sit inside the mid band
Exceptions rarely reach the named approver
71% granted below the approval threshold
Same pattern in each of the last 3 quarters
Upgrade proposedv11v12
LEARNING
The memory upgrades
Memory
Pricing
v12
Packages: standard, growth, enterprise
Discount ceiling tightened in the mid bandv12
Constraint: floor price by package
Verbal exception route removedv12
Approvals: named owner per threshold
Approve upgrade to Pricing?
The current way > AI added on > AI-native

The moments pricing decides, and whose spreadsheet wins

A price is a commitment made on the company's behalf. What changes across these three columns is whether it comes from approved commercial logic, or from the most recent version of a file someone copied.

01 | The Current Way

02 | AI Added On

03 | AI-Native

A quote gets built

A forked spreadsheet

The rep works from a copy taken months ago. It was correct once.

Retrieved, not reasoned

The price-list lookup fetches the sheet. Retrieval says nothing about which rule applies to this deal.

Built on current logic

The quote applies the approved packaging and pricing rules as they stand today, with the constraints already accounted for.

A discount gets requested

Whoever asks, gets

Approval depends on who is asked and how busy they are, so the real rules are unwritten.

A confident draft

A proposal-drafting tool will happily draft the discounted offer. It has no view on whether that discount is allowed.

The boundary is explicit

Within the approved rules it proceeds, outside them it goes to the named approver, so the exception is visible rather than absorbed.

A negotiation runs

Concede and hope

Under pressure the rep gives ground on whatever lever moves fastest, and that is rarely the cheapest one available.

Fluent, uncommercial

Suggested responses that read well and do not know which concessions this business can actually afford.

Trade on what is allowed

The negotiation works within approved levers and exceptions, so what gets given away is a choice rather than an accident.

Pricing changes

An email, then chaos

New pricing is announced while old quotes are still in flight and old sheets are still in use.

Trained on the old list

The pricing tool keeps citing what it learned, which is the previous version, indefinitely.

Versioned and dated

The new logic applies from approval, and in-flight deals stay traceable to the version they were quoted under.

The pricing turns out wrong

Discovered in the numbers

The pattern only surfaces in a margin review, long after the deals that made it.

Consistently mispriced

Automation applies the flawed rule reliably to every deal, which is how a small error becomes a large one.

Outcomes propose the change

Win, loss and margin patterns show where the rules are costing you. No revision reaches a quote until the pricing owner has approved it.

Referenced by

Capabilities that reason with this memory

Sales

Deal Health

Active
Northwind now at risk of going to a competitor
Champion's gone quiet; a rival is in the room
Two deals worth pushing while you're ahead
Momentum's with you, so press the advantage
One deal to cut: no budget, no path to the buyer
Sitting in forecast, propping up a false number
+
Every open deal, scored and ranked for the review
Where to save, where to push, where to walk
Where to spend your time, before the review
SEE HOW IT WORKS

Sales

Qualification

Active
Fresh discovery call read against your criteria
Nine criteria checked, not the boxes the rep filled
Champion confirmed, decision process still inferred
Two answers proven, one assumption flagged for evidence
Three gaps named, with the questions that close them
Queued for the next call, before the deal moves stage
+
Hold at Discovery recommended, reason on record
Sufficiency not met; the manager sees the same evidence
Know which deals are real, and what to ask next
SEE HOW IT WORKS

Sales

Pipeline Review

Active
Two deals slipped out of forecast this week
Flagged before the meeting, with what's driving each
One at-risk deal carries a third of the number
Champion's gone quiet; the buyer isn't multi-threaded
Three deals need a next step set today
Sitting idle past the pace of deals that close
+
Your focus list for the review, in priority order
The deals that need you, and what to do on each
Focus list ready before the meeting
SEE HOW IT WORKS
SEE ALL CAPABILITIES
Used by

Skills that use this memory

Deal Assessment

One method for judging a deal, applied the same way.

SEE THE SKILL
SEE ALL SKILLS
The Platform

One system that understands, decides, acts and learns.

Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.

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FAQ

What buyers ask

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What is pricing memory in an AI-native GTM system?

One approved definition of your packaging, pricing logic, constraints, approvals and exceptions, held as a versioned record. Quoting, proposals and negotiation all read the same version, so commercial judgement is applied rather than remembered.

How should AI use pricing rules?

By reasoning within them, not retrieving them. Fetching a price list is a lookup. Applying pricing memory means knowing which package fits, which constraints bind, what the approved flex is and where the boundary needs a human.

How do you govern AI pricing recommendations?

By making the approval boundary part of the memory. Anything inside approved logic proceeds; anything outside routes to the named approver before it reaches a customer. The gate is a rule you set in advance, and the model's confidence has no say in it.

What happens to deals in flight when pricing changes?

They stay traceable to the version they were quoted under. The new logic applies from the moment the pricing owner approves it, without retrospectively rewriting what was already committed.

Can the system change pricing on its own?

No. It can show you where the current rules are costing margin or losing deals and propose a revision with that evidence attached, but pricing changes only take effect when a person approves them.