Automate RevOps

RevOps automation for the messy reality of GTM data.

GTM Engine helps RevOps teams assess CRM health, fix duplicates and orphaned records, auto-fill structured fields, build workflows, trigger actions, run batches, and govern automation from one workspace.

RevOps Automation EngineClean the data. Automate the process. Govern the GTM engine.
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One automation layer for GTM operations

Automate the work between CRM, AI, enrichment, and action.

RevOps teams are asked to make every GTM system work together, but most tools create more disconnected process logic. GTM Engine gives operators a unified automation layer for CRM hygiene, enrichment, AI auto-fill, triggers, workflows, agents, field mappings, reporting, and batch operations.

RevOps control plane

Automation healthy

CRM issues

Duplicate contacts

High priority

1,284

Orphaned activities

Medium priority

642

Missing opportunity fields

High priority

318

Stale account data

Medium priority

2,041
Resolves
→

Identity and data layer

Maya Chen

maya@northstar.io

+

M. Chen

maya.chen@gmail.com

↓ merge and preserve history

Maya Chen · Canonical contact

47 activities · 2 companies · Verified

1,102

Merged

8,491

Fields filled

Runs
→

Governed workflow

v12 Published
Record updatedTrigger
Resolve identityWorkflow
Analyze interactionAgent
Update CRM + notify ownerOutput
2,481 runs today99.4% successful

Cleanup, AI fields, workflows, and governance operate on the same records instead of creating new process silos.

The operating flow

How RevOps Automation 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.

Assess CRM health before it breaks revenue motions

RevOps sees where data quality is hurting pipeline before it compounds.

CRM Assessment gives operators an objective view of data quality and sales execution, then routes them from findings into cleanup work.

  • CRM Assessment provides an objective health score for CRM data quality and sales execution.
  • Storyboards cover Close Business, Build Pipeline, Customer Health, Marketing, and Trends.
  • Per-entity tabs cover opportunities, contacts, accounts, and leads.
  • Assessment History enables comparisons over time.
  • Record Cleanup links route users from problems directly to fixes.
  • Genie explains findings, compares trends, and helps prioritize cleanup work.

Fix duplicates, stale records, strays, orphans, and bad associations

CRM hygiene becomes operational, not just diagnostic.

RevOps can move from identifying issues to reviewing, dismissing, associating, merging, and preserving data with confidence.

  • Record Cleanup has tabs for Duplicates, Stale, Empty, Strays, and Orphans.
  • Duplicate grouping normalizes domains and contact emails.
  • Merge Preview shows field-by-field comparison, merged result, and provenance indicators.
  • Unmapped CRM fields are preserved during merge.
  • Stale, Empty, Strays, and Orphans support dismiss and undismiss.
  • Strays identify opportunities and contacts with no linked account and suggest accounts with confidence scores.
  • Orphans identify records with no owner and suggest owners.
  • Activity Hygiene helps match meetings and calls to the right opportunities, including AI-recommended opportunities.

Auto-fill CRM fields with structured AI

AI output becomes a typed field your reports, workflows, and teams can use.

Instead of leaving AI analysis in a summary blob, GTM Engine turns activities, calls, enrichment, and research into durable, typed, syncable fields.

  • AI auto-fill eliminates manual data entry by reading activity data and filling fields automatically.
  • Common fields include industry analysis, account plan, recent news, funding data, tech stack, ICP fit, previous companies, skills, career progression, communication style, health score, AI forecast close date, deal gaps, suggested next steps, risk factors, and meeting summaries.
  • AI can write to text, long text, number, date, boolean, single-select, multi-select, and user reference fields.
  • Typed AI outputs are reportable, filterable, chartable, usable in triggers, and syncable to CRM.
  • Field sync direction can be to CRM, from CRM, bidirectional, or GTM Engine-only.
  • Genie can propose and help create AI fields from natural language.

Build workflows for repeatable revenue processes

Governed RevOps process, not an automation toy.

Workflows let operators build repeatable revenue processes with explicit inputs, typed outputs, versioning, diagnostics, and controlled side effects.

  • Workflows fetch records, search, enrich, research, score, branch, loop, call agents, update records, send emails, post Slack messages, publish Sanity documents, add contacts to Instantly, and enroll contacts into GTM Sending campaigns.
  • Triggers are standalone reusable resources: record created, record updated, activity created, timers, webhooks, and manual runs.
  • Trigger outputs map explicitly into workflow inputs.
  • Workflows support published versions, draft versions, version history, diagnostics, runs, comments, folders, and rollback.
  • Workflow Builder Genie can inspect workflows, validate schema, Liquid, and variables, create workflows, create triggers, install templates, and patch narrowly.
  • Recommended Automations can be installed and customized.

Govern automation at scale

RevOps can run automation across hundreds of records without treating the queue like a black box.

The platform surfaces automation structure, health, progress, failures, and versions so teams can operate safely as usage scales.

  • Automation Map provides an interactive canvas for triggers, workflows, nested workflows, and agents.
  • Health indicators surface broken variables and deprecated models.
  • Batch History shows running, pending, success, partial failure, failure, triggered-by user, date range, progress, view, and rerun failed.
  • Queue health card summarizes pending/running counts, age of oldest pending row, and recent failures.
  • Sidebar batch pill shows aggregate progress while bulk runs execute.
  • Model Migration lets Admin and RevOps users migrate deprecated stored model references.
  • Workflow folders and tags organize automations, triggers, and agents.

Connect automation to every GTM motion

RevOps Automation is the operating layer that makes every GTM motion work.

The same workflow engine can score accounts, enrich contacts, power forecast intelligence, publish content, and keep customer health current.

Four engines. One shared GTM model.

ContentEngineCampaignEngineSalesEngineCustomerSuccessEngine
GTM EngineGTM Engine

The same workflows and agents power every motion, so outbound, sales, content, and customer success all pull from and contribute to one data foundation.

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

CRM records, activities, transcripts, enrichment, AI fields, reports, campaigns, and customer signals stay connected.

Module 02

Workflows & Agents

Triggers, workflows, nested workflows, agents, Genie, explicit inputs, versioning, diagnostics, and runs make automation governable.

Module 03

CRM Hygiene & Sync

Assessment, cleanup, merge preview, activity hygiene, field sync direction, and structured AI fields keep systems of record usable.

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 CRM hygiene

Find and fix duplicates, stale records, empty fields, strays, orphans, and missing associations.

Shared model → This workflow → Expand
Path 02

Start with AI fields

Turn activities, transcripts, research, and enrichment into typed fields reports and workflows can use.

Shared model → This workflow → Expand
Path 03

Start with governed workflows

Build triggers, workflow versions, diagnostics, batch runs, and reusable automation with RevOps control.

Shared model → This workflow → Expand

Why GTM Engine

Built for structured revenue intelligence plus governance.

GTM Engine is not just CRM workflow logic or generic AI automation. It understands revenue objects, AI fields, trigger inputs, workflow versions, and downstream GTM actions.

Comparison 01

Against CRM workflow builders

✓

CRM workflows are usually bound to one system and limited data. GTM Engine combines CRM, activities, transcripts, enrichment, AI analysis, external integrations, workflows, and agents.

Comparison 02

Against iPaaS tools

✓

iPaaS moves data between systems. GTM Engine understands revenue objects and writes structured GTM intelligence back into fields, reports, forecasts, and actions.

Comparison 03

Against data quality tools

✓

Data quality tools find issues. GTM Engine connects detection, cleanup, field automation, workflow execution, and ongoing governance.

Comparison 04

Against AI automation tools

✓

Generic AI automation is hard to govern. GTM Engine gives RevOps typed fields, explicit inputs and outputs, diagnostics, run history, versioning, and controlled side effects.

Questions worth asking

Designed for control, scale, and RevOps ownership.

RevOps Automation consolidates hygiene, AI fields, triggers, workflows, agents, batch history, and reporting without pretending every edge case should be fully automatic.

Adoption principle

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

01We already have Salesforce or HubSpot workflows.+

GTM Engine is the revenue intelligence and cross-tool automation layer on top of CRM, not a replacement for basic CRM automation.

02AI automation feels risky.+

GTM Engine emphasizes typed outputs, schemas, testing against real records, workflow versions, diagnostics, human review where needed, and CRM sync controls.

03RevOps does not want another system to maintain.+

The counter is consolidation: one place for hygiene, AI fields, workflows, triggers, agents, batch history, and reports instead of fragmented scripts and point tools.

04Will this scale beyond simple workflows?+

Batch history, rerun failed, queue health, ForEach, nested workflows, reusable triggers, version history, and Automation Map are built for larger operational programs.

05Our CRM data is not clean enough to automate.+

Cleanup and automation belong in the same operating layer. Teams can assess health, resolve duplicates, repair activity associations, and introduce automation progressively instead of waiting for a perfect one-time migration.

06Could our team build this with scripts and an iPaaS?+

Individual workflows are buildable. The operational burden is maintaining identity resolution, typed AI fields, source integrations, versions, diagnostics, queues, reruns, reporting, and team-facing applications as one reliable system.

Connected revenue motions

Use automation to keep every GTM motion current.

The same governed automation layer powers data quality, campaign activation, forecast intelligence, content operations, and customer health.

Unified GTM Data Model

See the data model RevOps automation keeps current.

Explore →

Generate Pipeline

Use automation to score accounts, enrich contacts, and enroll campaigns.

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Close Pipeline

Use AI fields and workflows to power forecast intelligence.

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Create Market-Backed Content

Use workflows and evidence extraction to create content from customer voice.

Explore →

Grow and Renew Customers

Use the same automation layer for customer health and renewals.

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See the team perspective

RevOps

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

Explore →

Sales Leaders

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

Explore →

CS Leaders

Use complete customer context to manage handoffs, health, renewals, and expansion.

Explore →