Salesforce

CRM

Revenue Labs integrates with Salesforce.

An opportunity record is only worth reading closely if it matches what's happening on the deal right now. Salesforce holds the account, opportunity and contact record, and Revenue Labs reads what changes there to build live deal state from it.

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Website

https://salesforce.com

From source record to operating state

01 | The tool on its own

One commercial record for the team.

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02 | With AI bolted on

Einstein summarises the CRM record.

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03 | A system that learns

The record gains outside evidence.

The tool alone > AI bolted on > AI-native

What changes when Salesforce feeds a system that learns

Three jobs Salesforce already does, and what each becomes when its evidence joins live company, contact and deal state.

01 | The tool on its own

02 | With AI bolted on

03 | AI-native

Account, contact and opportunity records

One commercial record for the team.

Salesforce gives the team a shared account, contact, and opportunity record. People still have to enter changes and keep the fields current.

Einstein summarises the CRM record.

The summary helps a rep catch up, but it is built from what Salesforce can see. Outside call, product, and support evidence affects the summary only when connected to Salesforce.

The record gains outside evidence.

Salesforce activity sits beside call, product, and support evidence on the same company, contact, and deal.

Opportunity stages and history

A visible path through the pipeline.

Stage, amount, close date, and history give leaders a consistent pipeline view. Its quality still depends on reps updating the opportunity when reality changes.

Einstein scores each opportunity.

The score orders work inside Salesforce. Without a connected system, Outreach receives no direction on its next step and Slack receives no shared risk signal.

Every change becomes current deal state.

A stage move, close-date slip, or amount change joins calls, emails, and product activity, so each capability reasons from the same deal.

Reports and forecasting

Forecasts built from the pipeline.

Salesforce rolls opportunity data into reports and forecasts that managers can inspect. A manager still tests the numbers against what buyers are doing.

Einstein predicts the forecast.

Its prediction is grounded in Salesforce data. The reasoning does not improve from signals that remain in other tools.

Closed outcomes teach the next forecast.

Wins, losses, and stalls show which earlier signals mattered. That evidence shapes the next deal forecast.

Runs on it

Capabilities that act on connected evidence

Sales

Qualification

Qualification checks a deal's evidence against this company's own qualification standard every time something changes, so the rep and the manager see the same known evidence, the same inferences and the same open gaps, instead of each rebuilding that picture by hand.

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Sales

Pipeline Review

Pipeline Review inspects a rep's own book of deals from Deal State that stays current, rather than a CRM rebuilt by hand before every review, and shows which deals actually need attention before the meeting starts. Instead of piecing the week together from memory and half-updated fields, a rep opens their own book already knowing what changed, what's cooling and what's sitting past its close date, each with the evidence behind it and the question worth raising with a manager.

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BUILT FOR SECURITY, CONTROL AND SCALE

Connect data securely, capture every agent's activity, and enforce permissions with ease.

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CERTIFIED + COMPLIANT WITH:

ISO 27001:2022

GDPR

CCPA

Data Protection Act 2018

The GTM teams that learn fastest will win.

Connect your stack to a system that learns.

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