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Automate the GTM work your team should not be doing by hand.

AI agents, enrichment, signals, routing and integrations wired across your CRM and stack, with people approving the decisions that matter.

Book an intro callWhat we cover
What we cover

The engineering layer your GTM team is missing.

We design, build and maintain the automations, data flows and AI workflows that sit between your tools.

AI research and prep agents

Account briefs, call prep and follow-up drafts ready before the rep needs them.

Enrichment pipelines

Firmographic, technographic and contact data filled in and kept current.

Signal-based prospecting

Intent, product usage and hiring signals scored and routed to the right owner.

Lead and account routing

Rules that send every record to the right person within minutes.

Integrations and APIs

CRM, billing, product and support data kept in sync.

Workflow automation

The manual steps between tools replaced with monitored workflows.

Reporting pipelines

GTM data modelled in your warehouse so every dashboard uses one source.

Guardrails and human review

Approval steps, logging and owners for every automation that touches a customer.

Signs you need this

When your team spends more time moving data than selling.

Most AI and automation work stalls because it is not tied to a real revenue workflow. We start from the workflow.

  • What you seeWhat we fix
  • Reps research accounts by handAI account briefs ready before every call
  • Signals live in five different toolsOne signal feed, scored and routed to the right owner
  • Data is copied between systemsIntegrations that keep CRM, billing and product data in sync
  • Automations break silentlyMonitored workflows with alerts and named owners
  • AI pilots never reach productionUse cases tied to a revenue workflow, with human review built in
How we run it

Four steps from manual work to monitored automation.

  1. 1
    MapWeek 1

    Every manual step, handoff and data copy in the workflow, sized by hours and revenue impact.

  2. 2
    PrototypeWeek 2

    The highest-value workflow built and tested on real records with your team.

  3. 3
    ShipWeeks 3–6

    Production workflows with logging, alerts, permissions and human review.

  4. 4
    MonitorMonthly

    Uptime, accuracy and adoption tracked, with new workflows added as you grow.

What we measure

How we know the automation is working.

Every workflow ships with a metric, an owner and an alert if it stops performing.

  • Hours saved per rep
  • Speed to lead
  • Data completeness
  • Signal-to-meeting rate
  • Automation uptime
  • Pipeline from signals
Platforms

Built in the stack you already own.

Moving platforms? See migration paths →
  • HubSpot
  • Salesforce
  • Clay
  • Zapier
  • Make
  • n8n
  • LLM APIs
  • Snowflake
  • BigQuery
  • Slack
Ways to start

Pick the engagement that fits.

Fixed scopeRevenueOS buildShip the engine on your data in 6–10 weeks.Learn more →RetainerFractional RevOpsMonthly support for your GTM operating rhythm.Learn more →Two weeks14-day diagnosticFind every leak, sized and ranked, before you build.Learn more →
Intro call

Have a workflow your team hates doing by hand?

Thirty minutes with an operator. Walk us through it, and we will tell you what to automate first and where a person should stay in the loop.

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