Build a GTM data layer your team can trust.

Fractional GTM engineering for B2B teams. CRM modelling, enrichment, signals and data pipelines.

Request an audit See how we build

The order we build in.

  1. 01 Audit the stack.

    What each tool owns, where data enters, which fields anyone trusts, where people are involved, and which decisions need human review.

  2. 02 Model the CRM to your business.

    Objects, relationships and stages that follow how you sell. You get schema diagrams, a versioned schema and a git-controlled change workflow.

  3. 03 Clean up before migration.

    Stale fields, unclear stages, duplicate records and old assumptions become explicit keep, merge, archive or rebuild decisions.

  4. 04 Build the enrichment layer.

    Custom attributes, provider selection, confidence rules and AI judgement where the answer is not a lookup. Uncertain cases route to a person.

  5. 05 Keep it fresh.

    Re-enrichment on schedules driven by what matters: live deals, active programmes, recent interaction and dormant accounts.

  6. 06 Add signal workflows.

    Example signals include champion job changes, funding, hiring and LinkedIn activity. Each one needs dedupe, scoring and the right CRM record.

  7. 07 Run it with observability.

    Logs, run receipts, retries and replay, so a failure is visible and recoverable rather than silent.

Recent GTM data work.

A recent engagement involved Attio CRM, multiple enrichment providers, custom data modelling and reviewable writeback. The aim was a durable workflow, not a fragile Clay table.

An AI company selling a technical product through partners and long validation cycles

Designed the CRM model around the GTM motion, then kept enrichment safe to run.

Attio CRM model

Objects and relationships matched how the company sold: partner influence, strategic programmes, solution fit, leads and technical validation gates.

Enrichment providers

Multiple providers were used with source priority, confidence checks and fallback logic rather than a fragile table of one-off lookups.

Durable workflow

The enrichment path was split into stages that could be tested, replayed and reasoned about before data landed in the CRM.

Trade-offs

Human-entered values were protected, ambiguous matches went to review, and writeback rules carried the evidence for each decision.

The point was not just to enrich records. It was to create a workflow the team could keep using as the GTM motion changed.

Start with an audit.

Audit

$5,000

Fixed price, usually two weeks. Best when one CRM, migration, enrichment, duplicate, hierarchy, signal or review workflow is causing visible drag.

Request an audit
Fractional GTM engineering

From $7,500 per month

Ongoing senior engineering capacity, working down the build order, with the scope for each month agreed up front. Monthly, thirty days' notice, no minimum term.

Talk about fit

Bring the workflow your team is rescuing manually.

A rough description is enough. Send the tools involved, the records affected and the part someone still checks, cleans or moves by hand.

Audit intake

Name, work email and what is breaking.
For example: CRM model, migration, enrichment, duplicates, account hierarchy, signals, writeback or manual review.