Context, intelligence and execution.
One system.

Outcom holds every account's full context, reads it around the clock, and turns what it finds into action — with a Success Agent on every account in the book.

Outcom
Vertex AnalyticsAccount$210,000 ARR · renewal in 96 days · month 18
Signalfired 09:41

Weekly active teams fell from 14 to 9 after a reorg.

The group that drove 62% of usage at the last renewal has gone quiet. Cited to the QBR transcript and 21 days of product telemetry.

Playrunning · day 2 of 9

Adoption recovery — enterprise

Map the new platform leaddone
Draft the enablement briefdone
Send for owner approvalwaiting
Book the review with the five teamsday 4

The complete platform experience.

Seven capabilities on one context model: a foundation that holds the account, a loop that works it, and four more that measure and extend.

Foundation

One live model of every account.

Conversations, product usage, support, CRM and commercial terms — pulled into a single picture and held there, with every fact kept next to its source. The agent walks into month eighteen knowing what was promised in week one.

Context modelVertex Analytics
Conversations412 threads
Product usage21 days telemetry
Support18 tickets · 2 open
CRMsynced 4 min ago
CommercialMSA + 3 amendments
18 months of history · nothing dropped
The working loop

It notices. Then it acts.

Signals read that context around the clock and fire the instant an account changes. When the situation persists, Plays turn it into a multi-step playbook that runs itself — with a human approving the moves that matter.

Signal to outcome9 days
Day 0

Signal fires — adoption regressing, 14 → 9 teams

Day 2

Still true after two more readings — not noise

Day 3

Play opens — adoption recovery, enterprise

Day 4

Sponsor mapped · enablement brief drafted

Day 6

Owner approves · review booked with five teams

Day 9

Adoption recovering — the play closes itself

Everything runs on one context.

Every capability reads and writes the same model of the account. That is the difference between a suite and a system.

  • Nothing is re-integratedConnect the account's sources once. Every capability is live on them the same day — there is no second integration project per tool.
  • Evidence travelsThe citation behind a signal is the same citation in the play, the forecast note and the QBR draft. One chain of reasoning, end to end.
  • Decisions compoundWhat your team accepted, changed or rejected in one capability shapes what every other capability proposes next.
One fact, four places · Vertex Analytics
Signal
Adoption regressingFired 09:41, sent to the account owner.
14 → 9 teams · QBR transcript, 11 Mar
Play
Adoption recovery — enterpriseOpened on the same evidence, no re-research.
14 → 9 teams · QBR transcript, 11 Mar
Forecast note
Commit challenged — $210KWhy the number moved, on the record.
14 → 9 teams · QBR transcript, 11 Mar
QBR draft
Section 2 — adoptionDrafted with the citation already attached.
14 → 9 teams · QBR transcript, 11 Mar

Your customers’ story is already in your stack

Outcom reads it where it lives and keeps every fact with its source — nothing to re-enter, nothing to re-explain.

Run every account the way you run your best one.

A Revenue Operating System working on every account in your book.