The Practical AI-Native Playbook for GTM Ops

Define the right problem first: Most AI initiatives fail not in execution, but in problem selection. Learn how to identify truly high-leverage work — and why without visibility into your full operation, you'll default to the easiest problem instead of the right one.

Build the foundation that makes AI possible: Why a data model architected against the entire customer journey — not your CRM vendor's defaults — is the prerequisite for every AI initiative that follows. From there, it's about optimizing each team's contribution to a funnel that actually coheres.

Turn GTM context into your unfair advantage: The institutional knowledge your team already carries is the most valuable input to any AI system you'll build. Learn how to operationalize it before someone else does.

Build what matters. Buy the rest: AI makes it possible to build tools that fit your team's actual workflows — but that doesn't mean you should build everything. See how purpose-built tooling wins when applied to the right problems, and where buying still makes more sense.

Make the subjective objective: See a live demo of OCI (Opportunity Context Intelligence) — a system that eliminates admin burden while converting rep behavior into structured, scoreable data.