How to Compare AI Integration Platforms
Test five capabilities before choosing an AI integration platform.
Section
14 stories in Data Integration.
Test five capabilities before choosing an AI integration platform.
Connector counts matter less than proving workflows actually improve business outcomes.
Build gateways that enforce policy before agents act, not after.
Name the specific outcomes and error paths before you start building connectors.
The engineer who bridges pilots and production by embedding inside customer systems.
Build private connectors from documentation, then verify them inside the customer's network.
APIs and file exports both work—pick based on speed, write-back needs, and compliance rules.
Real-time CDC patterns keep knowledge graphs current enough to power accurate AI decisions.
Secure every step of the pipeline, not just the warehouse where data sits.
Establish shared definitions across systems before combining their data into one graph.
Most enterprise AI misses 80–90% of business data locked in unstructured documents.
Event logs reveal the timeline and causation behind your business data, not just its current state.
Track data origins at collection, transformation, and load—or lose the trail forever.
Connect SAP ERP relationships as RDF triples so AI understands how data connects.