Sales Engine

Close pipeline with forecast intelligence your team can trust.

Sales Engine combines CRM fields, activity history, transcripts, AI deal health, methodology scoring, forecast movement, and Genie guidance so sales teams can inspect pipeline and act before deals slip.

Sales EngineForecast with evidence. Inspect deals with context. Move pipeline with next-best actions.
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Forecast and pipeline execution in one workspace

Turn deal data into forecast accuracy and sales execution.

Forecast meetings break when they depend on stale CRM fields, rep anecdotes, and disconnected call notes. GTM Engine turns activity, transcript, CRM, and methodology data into structured deal intelligence.

Forecast intelligence

Live deal evidence

Forecast map

$2.4M open pipeline

Q3 2026
Commit$640K · +$80K
$640K
Best case$920K · +$140K
$920K
Pipeline$840K · -$210K
$840K

7

Moved in

4

At risk

2

Slipped

Opportunity

Platform Expansion

$180K · Evaluation · Sep 28

Risk 68

Champion

Strong

Process

Partial

Timeline

Weak

Evidence and next action

Negative

Three unanswered emails since technical review

Positive

Finance stakeholder joined latest meeting

Action

Confirm procurement steps before Friday

Every deal movement stays connected to the activity, methodology evidence, contacts, and actions that explain it.

The operating flow

How Sales Engine turns signal into action.

Follow the full process from the first decision through the resulting revenue action. Each stage builds on the records, evidence, and outcomes created before it.

Forecast with health, history, and movement

Forecast intelligence is built from structured deal data, not only manually entered categories.

Sales Engine helps leaders understand what changed in forecast, why it changed, and which underlying deals are creating risk or momentum.

  • Forecast includes progress bar, pipeline summary, Forecast Map, opportunities table, date controls, team hierarchy tabs, category filters, search, and column customization.
  • Forecast History reconstructs historical values for forecast category, amount, health score, and stage.
  • Forecast Map uses a Sankey-style visualization for category flow and risk flow.
  • Clicking nodes or flow bands filters to the underlying deals.
  • Genie can answer forecast questions about risk, movement, trends, and deal lists.

Inspect pipeline without losing context

Run pipeline reviews from the same product surface reps use to work deals.

Managers can move from pipeline views into opportunity context without losing the fields, activity, stakeholders, and AI-generated signals behind the deal.

  • Pipeline includes pipeline selector, stage filters, search, team selection, create opportunity, chart/table views, and opportunity links.
  • Pipeline defaults to Show all and supports team hierarchy filtering.
  • Opportunity overview shows GTM and standard fields side-by-side, AI fields, health score, AI forecast close date, deal gaps, summaries, editable CRM fields, contacts, owner, stage, amount, and methodology circles.
  • Opportunity activity includes meetings, emails, calls, CRM updates, and recorded-call details.

Path to Close

Turn sales methodology into inspection, coaching, and next-best action.

Path to Close replaces spreadsheet close plans with a structured opportunity surface built from actual methodology evidence.

  • Methodology circles score dimensions like Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion, and Competition.
  • Scores are generated from AI analysis of activities and fields.
  • Qualification modal shows score, rationale, missing evidence, and suggested questions or actions.
  • Stage timeline shows expected duration, time in stage, entry criteria, exit criteria, stage skips, stuck deals, and regression.
  • Action planner groups Completed Actions, Pending Actions, Blockers, and Suggested Next Steps.
  • Reps can edit actions manually, and AI does not silently overwrite rep edits.

Meeting prep and follow-up

Give reps and managers deal context before the customer conversation.

Sales Engine is not only for executives. Reps can prepare for meetings and follow up from real opportunity, stakeholder, and activity context.

  • Meeting Prep opens from scheduled meetings in the opportunity activity timeline.
  • Meeting Prep includes opportunity summary, current stage, methodology scores, contact list, recent activity digest, blockers, talking points, and suggested questions.
  • Reps can add or remove opportunity and contact associations inline.
  • Built-in email composer can draft follow-up or pre-call emails using context and saved signatures.

Team coaching and sales process

Connect individual deal execution to management rhythm.

Sales leaders and managers can inspect rep performance, process adherence, pipeline health, and activity patterns in the same operating layer.

  • Team Performance compares rep performance, quota attainment, activity levels, and pipeline health.
  • Sales Process configuration controls pipelines, stages, health scoring, and methodology.
  • Team structure enables hierarchy tabs, manager/member filtering, rollups, and target attainment.
  • Reports and dashboards can combine pipeline, activity, campaign, and AI-field data.

Platform architecture

One outcome, powered by one connected platform.

These are not separate point products. Each module reads from and contributes to the same identity, activity, intelligence, and action layer.

Shared foundation

Unified revenue data model

Module 01

Unified Revenue Data

Deals, CRM fields, meetings, emails, calls, transcripts, stakeholders, forecast changes, and AI fields stay connected.

Module 02

Workflows & Agents

Agents and workflows monitor risk, answer forecast questions, summarize changes, trigger follow-up, and guide next-best actions.

Module 03

Revenue Intelligence

Forecast, Pipeline, Team Performance, Sales Process, Opportunity detail, Path to Close, Meeting Prep, Reports, Dashboards, and Genie operate together.

Choose your starting point

Start where the pain is sharpest.

Enter through one measurable workflow, then expand without rebuilding the data foundation.

Path 01

Start with forecast confidence

See category movement, risk flow, historical changes, and the deals behind the number.

Shared model → This workflow → Expand
Path 02

Start with pipeline inspection

Run reviews from opportunity context instead of stale fields and unverifiable updates.

Shared model → This workflow → Expand
Path 03

Start with deal coaching

Use methodology evidence, blockers, stage criteria, and meeting prep to help reps move deals forward.

Shared model → This workflow → Expand

Why GTM Engine

Built for sales execution, not another forecast rollup.

GTM Engine connects forecast movement to the evidence, methodology gaps, meeting context, and next-best actions that actually move deals.

Comparison 01

Against forecast tools

✓

Forecast tools often focus on rollups. GTM Engine connects forecast movement to deal evidence, methodology gaps, meetings, activities, and next-best actions.

Comparison 02

Against call intelligence tools

✓

Call tools capture conversations. GTM Engine turns that conversation data into structured opportunity fields, forecast signals, Path to Close, reports, and workflows.

Comparison 03

Against CRM dashboards

✓

CRM dashboards show what reps entered. GTM Engine adds AI-generated health, risk, methodology evidence, historical movement, and contextual Genie guidance.

Comparison 04

Against spreadsheets and deal docs

✓

Close plans and deal notes live directly on the opportunity, connected to the data that powers forecast and inspection.

Questions worth asking

Designed to support sales judgment with better evidence.

Sales Engine does not replace managers or reps. It gives them a stronger evidence base for inspection, coaching, and action.

Adoption principle

Start with one painful workflow. Prove the outcome. Expand on the same model.

01Our sales team already updates the CRM.+

GTM Engine does not claim reps stop owning pipeline judgment. It gives reps and managers better evidence by reading activity, transcripts, fields, and history together.

02Forecasting AI is risky.+

AI is a signal layer, not a black box replacement for human judgment. Leaders can inspect the underlying deals, history, rationale, fields, and activity.

03Managers will not change their inspection process.+

Path to Close and Forecast Map support existing inspection rhythms with better evidence instead of forcing a new methodology.

04This sounds like a lot of setup.+

Sales Process configuration, AI fields, and CRM sync create the foundation. Teams can start with forecast and opportunity inspection, then deepen methodology and automation.

05Our methodology is unique.+

Path to Close is configured around your stages, qualification fields, terminology, and inspection process. The platform structures evidence for the process you run instead of forcing every team into one fixed methodology.

06Reps will challenge the deal-health signal.+

That challenge should be inspectable. Health, forecast, and next-step signals can stay connected to the activities, transcript evidence, field history, and missing qualification data that produced them.

Connected revenue motions

Use the same model before and after the deal.

Deal intelligence becomes more valuable when it connects to target-account engagement, RevOps workflows, and renewal execution.

Unified GTM Data Model

See how deal intelligence is structured and reused.

Explore →

Generate Pipeline

Turn target-account and campaign engagement into opportunities.

Explore →

Automate RevOps

Configure the fields and workflows that power forecast intelligence.

Explore →

Grow and Renew Customers

Apply the same pipeline model to renewals.

Explore →

See the team perspective

Sales Leaders

Turn trusted deal data into coaching, forecasting, and pipeline action.

Explore →

RevOps

Automate data quality, routing, enrichment, and operational workflows.

Explore →