Vendor lock-in is the silent killer of AI initiatives.
You build your workflows around a platform. Train your models on their infrastructure. Store your data in their ecosystem. Then they raise prices, change APIs, or get acquired. Now you're held hostage.
How Lock-In Happens
- Proprietary formats: Your data lives in their database, in their schema.
- Managed AI: Your models run on their infrastructure, trained with their tools.
- Workflow dependency: Your team's daily work depends on their interface.
None of these are obvious when you're signing up. All of them are painful when you try to leave.
The Ownership Model
Building your own AI stack means:
- Your data lives where you decide
- Your code is yours — auditable, modifiable, portable
- You can swap AI models as the market evolves
- No surprise pricing changes break your operations
It's Not All-or-Nothing
You can use third-party AI models (everyone does). The key is building your layer on top — your workflows, your integrations, your data pipelines — so you're never dependent on a single vendor for your entire operation.
Own the stack. Rent the models. That's the playbook.