Every GTM platform is adding AI features. Most of them want you to run your logic inside their walled garden. Your enrichment prompts, your scoring models, your research agents: all locked to their UI, their pricing, their roadmap.
AI-native GTM does not mean renting intelligence from a vendor. It means building agents and models on infrastructure you own: warehouses for data, workers for execution, and thin adapters to any AI provider.
When Claude ships a better model, you swap the adapter. When a new enrichment API launches, you add it to the waterfall. When you outgrow your CRM, the logic layer migrates with you.
The teams that get this right treat AI as a capability layer, not a product category. They build staging tables, confidence thresholds, and human review queues. They let agents research and draft, but humans (or automated QA) approve before anything hits production.
This is how you get AI leverage without AI lock-in.