Enterprise AI increasingly enters through APIs, cloud platforms and model services. GEN1 shows that this layer carries the highest aggregate REI in the industry field and should be treated as a strategic dependency decision with procurement-level scrutiny.
The highest aggregate exposure sits in the service layer
Models served as a service resolve to CCC across 26 assessed systems, with REI 50.2, ADI 19.2 and mean T 79.8%. Only six positions sit at T≥90.
A provider choice becomes a dependency choice
A single provider decision can create shared model, cloud, API, subprocessor and jurisdiction dependencies across multiple business units. The contract can stay unchanged while the model family, hosting route, provider evidence or regulatory position moves. RATE AI reads the provider against a measured peer field, then adds the client’s private deployment context.
The board test
Which shared AI dependency would affect the most decisions if its model, hosting route, evidence position or jurisdiction changed after signature?
Method: RATE AI Public White Paper v2.1.