The consequential AI work that actually moves the needle for enterprises

An OutSystems-hosted webinar convened software executives and enterprise practitioners to discuss AI governance, orchestration, and iteration.

The panel argued that the most consequential AI work centers on governance, orchestration, iteration, and integrating agents into existing systems.

They noted the growing value of the generalist developer and the enterprise architect as technical profiles in an era of AI-generated code.

OutSystems presented the Agent Workbench as infrastructure to learn, iterate, and govern agents at scale; Thermo Fisher Scientific was cited as a user.

Rajkiran Vajreshwari said Thermo Fisher moved from single-task assistants to coordinated teams of specialized agents; examples included a triage assistant that routes requests and agents for intent/priority, product context, troubleshooting, and compliance.