The GTM operating system

Your GTM systems should scale with you. Most don't.

DefineData builds the operating layer behind revenue — CRM architecture, trusted reporting, clean automation and AI-ready data — so founders and leadership teams can trust the numbers and scale without operational drag.

Focused on reporting and AI specifically? Try the data & AI readiness check.

definedata · pipeline.live
LIVE
Qual. leads
1,284
▲ 18%
Meetings
92
▲ 11%
Reply rate
7.4%
▲ 2.1pt
Leads by channel last 30d
LinkedIn
612 9.1%
Email
418 5.2%
Sales Nav
174 6.8%
Referral
80 22.0%
reconciled across 4 sources conversion 6.8%

The inflection point

The systems that got you here won't get you through the next stage.

In the early days, the founder knows every deal, every customer and every exception. Spreadsheets, manual reporting and a lightweight CRM are enough.

Then the company grows. Sales, marketing, customer success and finance start using different definitions. The CRM stops reflecting reality. Dashboards need manual cleanup. Forecasting gets political. Automation creates noise. AI becomes risky because the underlying data cannot be trusted.

That is the point where you need a GTM operating system.

Diagnostics

You may need this if

A few of these usually show up together once founder memory stops scaling and the messy middle sets in.

01

Your CRM does not reflect reality

02

Board reporting needs manual cleanup before anyone trusts it

03

Sales and marketing disagree on source or stage definitions

04

Customer handoffs between teams are inconsistent

05

Dashboards exist, but nobody trusts the numbers

06

Automation keeps breaking or creating noise

07

You want to use AI, but your GTM data is not ready

08

Your founder, COO or sales leader is still manually reconciling the numbers

The build

One connected system, not nine separate tools and a pile of workarounds

DefineData designs and builds the operating layer behind revenue.

01

CRM architecture

Objects, fields and relationships modelled around how you actually sell.

02

Lifecycle and funnel design

Clear stages from lead to customer that every team agrees on.

03

Source tracking

Know where every lead and opportunity actually came from.

04

Pipeline governance

Definitions, rules and hygiene that keep the pipeline honest.

05

Handoff workflows

Clean transitions between marketing, sales, onboarding and success.

06

Reporting and dashboards

Board-ready metrics built on numbers you can trust.

07

Data quality controls

Validation and monitoring that stop the data drifting again.

08

Workflow automation

Automations that remove manual reconciliation without creating noise.

09

AI-ready GTM data

Structured, governed data that AI can safely build on.

David Kernan, founder of DefineData

Who builds this

Built by someone who has run the systems behind revenue

DefineData is led by a former Head of Data, Analytics and Business Systems with hands-on experience across startups and scale-ups — designing CRM architecture, building board-ready reporting, governing pipeline and getting GTM data ready for automation and AI.

Salesforce Administrator Salesforce Data Architect HubSpot & GTM systems Power BI AWS AI certification CIPP/E

Free diagnostic

The GTM Systems Readiness Check

A five-minute self-score across CRM structure, lifecycle, reporting trust, automation and AI-readiness. You get an instant scored report and a practical 30/60/90-day plan for where to focus first.

Focused on reporting and AI specifically? Try the data & AI readiness check.

What it scores 5 min
  • 01

    CRM structure

  • 02

    Lifecycle stages

  • 03

    Reporting trust

  • 04

    Automation

  • 05

    AI-readiness

Instant scored report plus a 30/60/90-day plan — no call required to see your results.

Start here

See where your GTM operating system stands

Score your systems in five minutes, or book a GTM Systems Audit to find the gaps in your CRM, reporting, workflows and AI-readiness before they get expensive.