The case for embedding audit trails in AI systems before scaling

Editor’s note: Emilia will lead an editorial roundtable on this topic at VB Transform this month. Register today.

Orchestration frameworks for AI services serve multiple functions for enterprises. They not only set out how applications or agents flow together, but they should also let administrators manage workflows and agents and audit their systems. 

As enterprises begin to scale their AI services and put these into production, building a manageable, traceable, auditable and robust pipeline ensures their agents run exactly as they’re supposed to. Without these controls, organizations may not be aware of what is happening in their AI systems and may only discover the issue too late, when something goes wrong or they fail to comply with regulations. 

Kevin Kiley, president of enterprise orchestration company Airia, told VentureBeat in an interview that frameworks must include auditability and traceability. 

“It’s critical to have ...