Avoiding AI vendor lock-in
Keep your proprietary data in systems you control, favor vendors with standard APIs and clean data export, and use an integrate pattern so intelligence is rented but knowledge is owned. Design the exit before you sign.
Rent intelligence, own knowledge
Lock-in happens when your data and workflows live inside a vendor’s system. Keep the knowledge layer, your documents, data, and rules, in infrastructure you control, and swapping the model underneath becomes cheap.
The most durable defense against lock-in is architectural: rent the intelligence (the model or platform) but own the knowledge (your data, embeddings, and business logic). In an integrate pattern, the vendor supplies capability through standard interfaces while your proprietary knowledge stays in systems you control, so replacing one vendor with another is a configuration change rather than a rebuild. Negotiate data export and portability terms before signing, when you still have leverage.
Frequently asked questions.
Is some lock-in acceptable?
Yes, deep integration always creates some switching cost, and that is fine when the vendor is delivering strong value and partnering well. The goal is not zero lock-in but avoiding traps where your data is hostage and exit is prohibitively expensive.