Most teams bolt AI onto silos. I build the system underneath.

Siloed GTM means every team deploys its own AI, on its own systems, with wildly uneven skills — none of it connected, and data leaking in the gaps. The fix is a systematic operating model: dedicated pods across the full bowtie, on a unified data layer with governed, shared tools.

Each team deploys its own AI — none of it connects

Marketing

System: ESP

Sales

System: CRM

CS

System: Helpdesk

RevOps

System: BI

ProspectBuyerCustomer

MarketingSME + AI

SalesSME + AI

CSSME + AI

AwarenessEducateSelectOnboardAdoptExpand

Central System · owned by RevOps

GovernanceShared ToolShared ToolShared ToolPolicy

Unified Data Layer

One bowtie, one data layer, governed shared tools — run by the whole GTM.

Four stages. Most orgs are stuck on two.

Hobby

Individual experiments. Tools bought. Nothing shared.

Siloed

Each team deploys its own AI, on its own systems. Nothing connects.

Systematic

Dedicated pods on the bowtie, on one governed, unified data layer.

Compounding

Data flows end to end. Every pod gets smarter than the last.

This is the system I install for B2B SaaS teams.

The diagnostic, the bowtie operating model, and the governed data layer underneath — embedded, build-led, and owned by your team when I leave.

Go deeper — the AI GTM transformation framework →

Built from real GTM AI transformation work. — James Gilbert