Your CEO or your board has told you they want an AI-native go-to-market. There's an even better chance nobody has told you what that actually means.

In this video, LeanScale CTO Jake Toepel puts one AI agent through three of the highest-leverage plays in go-to-market — a real ICP analysis, a messaging teardown from 20 sales calls, and a live pipeline diagnostic — in less time than it takes most teams to book the meeting. Then he does the part nobody demos: he points raw AI at a real CRM, asks it for pipeline coverage, and shows you the confident, instant, completely wrong answer that comes back.

The fix is a concept called the context graph — the semantic layer that maps your raw data to what it actually means in your business, resolves every record across CRM, billing and product, and carries your definitions, your plan and your memory. It is the single most important part of AI-native GTM and almost nobody is talking about it. Jake breaks down how LeanScale builds it on Vasco, and why buying everyone a Claude license without it just gets you 50 versions of the truth.

WHAT YOU'LL LEARNWhat "AI-native GTM" actually means — a working definition, not a slideHow an agent finds your real ICP by cross-referencing deal size, sales cycle and 6-month retentionWhy the ICP on your website is usually not the ICP that winsHow to run a messaging teardown against 20 real sales calls — with quotes as receiptsWhich lines to keep and which to kill, and why "one platform instead of five tools" backfiresHow to get five-whys root cause on soft pipeline live, inside the forecast callWhy speed — not headcount or tooling — is the new moat in go-to-marketThe four things missing when you point raw AI at your CRM: definitions, identity resolution, plan, memoryWhy a confident guess is worse than no answer when it reaches the boardWhat a context graph is, how it resolves Acme Inc. vs. Acme Co. vs. Acme 123, and why it has to come first

CHAPTERS00:00 — The promise: three plays, then the part everyone skips01:24 — What AI-native GTM actually means02:08 — Play 1 — Who is actually your best customer?03:00 — The answer: your real ICP isn't the logos on your website03:34 — Play 2 — Is your messaging actually landing?04:10 — Keep this line, kill that one — with receipts04:38 — Play 3 — The live pipeline diagnostic05:30 — Five whys of root cause before the call ends06:04 — Now try it on your own CRM (it breaks)06:30 — The four things missing: definitions, identity, plan, memory07:44 — The context graph: the semantic layer underneath08:38 — Why buying everyone a Claude license doesn't work09:14 — Where to start, and what's in the next video

ABOUT THE GUESTJake Toepel is the Chief Technology Officer of LeanScale, where he builds the AI-native revenue operations systems behind some of the fastest-growing companies in B2B SaaS — not slide decks about AI, the actual working systems. He leads the development of Vasco, LeanScale's context graph: the semantic layer that maps a company's raw CRM, billing and product data to what it means in their business, so agents answer from a model of the business the team has already agreed is correct. This is Video 1 in his AI-Native GTM series.

ABOUT LEANSCALELeanScale builds AI-native revenue operations for the fastest-growing companies in B2B SaaS. We design, build and run the go-to-market systems behind the pipeline — and the data foundation that lets agents answer questions about them truthfully.

▶ Learn more: https://www.leanscale.team▶ Get the AI-readiness assessment: [ASSESSMENT-LINK]▶ Follow Jake on LinkedIn▶ Follow Anthony on LinkedIn

#AINativeGTM #ContextGraph #SemanticLayer #RevOps #RevenueOperations #GTM #GoToMarket #AI #AIAgents #GTMEngineering #DataQuality #IdentityResolution #B2BSaaS #EnterpriseSaaS #Salesforce #Vasco #LeanScale

AI-Native GTM: 3 Agent Plays and the Layer That Makes Them True | Jake Toepel, LeanScale CTO

The LeanScale Podcast with Anthony Enrico

AI-Native GTM: 3 Agent Plays and the Layer That Makes Them True | Jake Toepel, LeanScale CTO