System
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Memory
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About Company

About Company

One approved account of what your company is, how it operates and where it competes. Background gets restated in every prompt and every brief, a little differently each time. This is your GTM system's memory: the durable context every other memory assumes, with sources, owners and versions attached.

Learning from every outcome
Two sources disagree on the same fact
Website and strategy deck differ on 6 claims
Both used by tools that read it in the last 30 days
Context gets repeated in prompts
Company background restated in 83% of prompts
4 different versions of it in circulation
Upgrade proposedv9v10
LEARNING
The memory upgrades
Memory
About Company
v10
Approved company facts held with their sources
Category description merged into one versionv10
Owners named for each area of context
Superseded positioning statement withdrawnv10
Everything that uses it is listed before it changes
Approve upgrade to About Company?
The current way > AI added on > AI-native

The moments company context is needed, and what supplies it

This is the least glamorous memory and quietly the most reused. Everything else here assumes it, which is why it being wrong is expensive in ways that are hard to trace.

01 | The Current Way

02 | AI Added On

03 | AI-Native

A capability needs to know what the company is

Nearest fragment wins

A capability pulls whatever explains the company from whatever is nearest: a page on the website, a slide, an old strategy doc, depending on what the search reached first.

Summarised inconsistently

Each summary describes the company fluently, and each is slightly different, because the sources it drew from disagree about what the company actually is.

One approved account of the company

Every capability reads the same governed description of what the company is, how it operates and where it competes. Nothing depends on which document happened to rank highest.

Two sources contradict each other

Both stay in circulation

The website says one thing and the strategy deck another, and both continue to be cited.

Contradiction, restated fluently

Summarising conflicting sources produces confident output on both sides of the same fact.

Conflicts get reconciled

Sources are checked against each other and a single approved version is maintained, with a record of where it came from.

Every AI tool has learned its own version of the company

Every person's own version

Each person explains the company slightly differently, in every deck, doc and conversation, because there is no single account to draw from.

Inaccuracy, amplified

Each person's AI tool has picked up its own version of the company, at its own level of accuracy, and states it with total confidence. An out-of-date understanding spreads, in slightly different shapes, across everyone's own setup.

One definitive understanding, on every prompt

Every capability works from the same current understanding of the company, recognised automatically rather than typed in or personally remembered.

The strategy changes

Updates arrive unevenly

Some documents change, some do not, and nobody can list what was relying on the old version.

Faster docs, same problem

Documents update quickly and the capabilities reading them still reflect whatever they cached.

Dependencies are visible first

Before a company fact changes, you can see exactly which capabilities rely on it, so you know what is affected instead of finding out afterwards.

Someone asks what the system thinks our company does

No single place to check

The answer is scattered across prompts, tool configurations and whichever documents were fed in, and nobody can state it in one place.

A confident answer, unverifiable

The AI states a version of the company, its market, its size, its category, fluently and with no way to check it against a source.

The answer is inspectable

A builder can open the record and see the exact claim the system holds, such as which category the company competes in, where it came from and who approved it.

Referenced by

Capabilities that reason with this memory

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

Meeting Prep

Active
Brief built for tomorrow's Acme renewal call
Pulled live deal state 1 hour before the meeting
Flagged two deals with no next step
Both stalled 14+ days since last activity
New stakeholder added to the buying group
CFO joined — added to the account brief
+
Objection playbook matched to the call
Pricing pushback: three proven responses surfaced
2 briefs ready for your review before 9am
SEE HOW IT WORKS

Sales

Daily Brief | Sales

Active
Kestrel went quiet overnight
Champion didn't reply, and a new exec joined the thread
Two next steps from yesterday never got sent
Sitting overdue, and the deals are cooling while they wait
Solstice needs a follow-up before your 10am
Send it now, or lose the thread going into the call
+
Your three deals that need you today, ranked
In order of what's at risk and what moves the number
Your day, prioritised, before you open your inbox
SEE HOW IT WORKS
SEE ALL CAPABILITIES
Used by

Skills that use this memory

No items found.
SEE ALL SKILLS
The Platform

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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

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What is organisational memory for AI?

Approved company context held so every capability reads the same version of it: what the company is, how it operates, where it competes, with sources, owners and version history. It is inherited rather than retrieved, which is what makes it consistent.

How is company memory different from a knowledge base?

A knowledge base stores documents for people to find. Company memory holds approved facts for capabilities to reason from. One is searched and interpreted each time; the other is governed, versioned, and identical everywhere it is used.

How should AI learn about a company?

Not by summarising whatever it can reach. Sources contradict each other, and a summary of conflicting sources is confidently wrong on at least one point. The useful step is reconciling them into one approved account, with a named owner signing it off and a record of where each fact came from.

Why does it matter if every AI tool has its own version of the company?

Because each person's AI has picked up its own understanding, at its own level of accuracy, and states it with confidence. Left alone, the system ends up holding many different, often outdated, accounts of what the company is, spread across everyone's own setup, none of which anyone approved.

How is this different from products or goals?

Products is what you sell. Goals and Objectives is what you are trying to achieve. About Company is the durable background both of those assume: the business model, the market you compete in, how you operate. It changes rarely and almost everything depends on it.