Tag

ai-native-gtm

AI-Native GTM Series #10: The AI-Native GTM Audit

An AI-native GTM audit should test whether the revenue system learns better, not whether the team owns enough AI tools. Tool adoption is easy to count. Learning quality is harder. A team can have AI call summaries, AI scoring, AI account research, AI outreach, AI content, AI forecasting, and AI

AI-Native GTM Series #9: Bounded Agentic GTM Workflows

Agentic GTM workflows should be bounded workers inside a revenue system, not autonomous revenue executives. The agent language tempts people to imagine AI sellers, AI marketers, AI SDRs, and AI CS reps running independently. That framing is mostly dangerous. Revenue work touches buyer trust, pricing, commitments, legal claims, security promises,

AI-Native GTM Series #8: The AI-Native Revenue Operating Model

AI-native GTM is an org-design problem before it is a tooling problem. If every function buys AI in isolation, the company becomes faster at being fragmented. Marketing generates more campaign assets. Sales generates more outreach and summaries. CS generates more health notes. RevOps generates more dashboards. Product marketing generates more

AI-Native GTM Series #7: Pipeline Inspection in the Age of AI Theater

AI can make pipeline inspection sharper. It can also make pipeline theater harder to detect. That is because AI makes the artifacts around a deal look better. Call summaries become cleaner. Follow-ups become more professional. Mutual action plans become more complete. Qualification fields get filled. Manager updates sound structured. Forecast

AI-Native GTM Series #6: Personalization Without Relevance Is Spam

AI can make personalization more specific and less relevant at the same time. That is the trap. A message can mention a prospect’s podcast, recent hiring plan, funding announcement, tech stack, LinkedIn post, and alma mater while still having no reason to exist. Specificity proves the machine found details.

AI-Native GTM Series #5: Account Intelligence Is an Attention System

The best AI account intelligence system is not a dossier generator. It is an attention system. A beautiful account brief is useful only if it helps a human make a better choice: which account deserves attention, why now, what evidence supports the move, who should act, and what kind of

AI-Native GTM Series #4: The Source-of-Truth Problem Gets Harder

AI does not reduce the need for revenue data discipline. It raises the cost of not having it. Before AI, bad GTM data created bad reports, messy handoffs, weak forecasts, and recurring arguments. With AI, the same bad data becomes polished recommendations, confident account briefs, automated next steps, and believable

AI-Native GTM Series #3: The GTM Signal Layer

The first layer of AI-native GTM is not outreach. It is sensing. Most revenue teams are surrounded by market information and still learn slowly. Prospect objections sit in call recordings. Win/loss notes disappear into fields nobody trusts. Support tickets expose promise gaps. Product usage reveals expansion paths. Content performance
You've successfully subscribed to Antoine Buteau
Great! Next, complete checkout to get full access to all premium content.
Welcome back! You've successfully signed in.
Unable to sign you in. Please try again.
Success! Your account is fully activated, you now have access to all content.
Error! Stripe checkout failed.
Success! Your billing info is updated.
Error! Billing info update failed.