
When AI agents enter business operations, the stakes shift to non-negotiable compliance. If you can’t explain, audit, or govern AI’s decisions, you can’t put it into production without untold risk.
Watch Flowable’s CTO, Micha Kiener, and Ex-Gartner Analyst, Paul Vincent, do a pragmatic deep dive into operating AI agents with production-ready governance: to avoid risking audit failure, shadow automation, or a loss of board confidence.
What awaits:
The architecture of trust: How to orchestrate a mix of people, software services, and AI agents in a single workflow without losing a clear line of sight for compliance.
Open standards as guardrails: Why BPMN (for process), DMN (for decisions), and CMMN (for case control) are the orchestration trinity for auditable AI adoption.
The contextual selection loop: How events drive the selection of the right process or agent at the right time, ensuring automated precision in sensitive work processes.
Future-proofing your stack: Why open-standards-based orchestration is the only way to consume evolving AI agents without risking unmanageable technical debt or vendor silos.
This webinar explores real-world use cases where standards-based development is the key to scaling automation. Whether you are managing investment processes, clinical paths, or claims handling, learn how to build AI that is auditable by design.

Chief Technology Officer
Flowable

Analyst Consultant
Ex-Gartner