A business that builds its AI strategy around a single model is building on the least stable part of the entire stack. Model prices move by orders of magnitude within a single year. The connectors, the permission engine and your organisation's context do not.
The price spread is not small
Model pricing in 2026 spans roughly a hundred times between the cheapest usable model and the most expensive frontier one. Routing the majority of requests to the cheaper model where it is good enough for the task cuts total spend by more than half without a noticeable quality hit on most work.
Why lock-in is the real cost
A business built directly against one provider's API inherits that provider's pricing decisions, outages and model deprecations as its own roadmap risk. 37% of enterprises now run five or more models in production specifically to avoid that dependency, treating model selection the way a network treats routing: dynamically, not as a single point of failure.
What is actually durable
The connectors into your systems. The permission engine that resolves who can see what. The accumulated context about how your business actually works. None of that depreciates when a new model ships, and none of it has to be rebuilt when a cheaper or better one does. That is the part worth investing in as a foundation, and the model is not it.
The reasoning model behind the Org Brain is a swappable part. The durable value is underneath: the connectors, the permission engine, the joined data layer and your organisation context. That is what makes it a foundation and not a subscription.