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.
