An AI agent is only as useful as the structure around it. It needs something that coordinate the people, systems, and decisions it touches, keeps a detailed audit trail, and gets better over time. That something already exists at Flowable. It's the case.
The case has always been the harness for how people, systems, and rules work together. Now the AI agent steps into it as a new participant, handed real work under the same controls your teams already trust. Every decision it makes stays traceable, defensible, and probably under control.
Patrick Zuest, Senior Solutions Architect, and Micha Kiener, CTO, gave a comprehensive overview of Flowable 2026.1: an update that deepened agent autonomy, expanded audit insights, added guardrails and evaluators, opened the platform to any LLM you chose, and strengthened the orchestration core everything ran on.
What we covered:
Deeper agent autonomy: How Flowable 2026.1 gave agents more responsibility while keeping every action accountable.
Expanded audit insights: How to maintain a detailed, defensible record of every decision the agent made.
Guardrails and evaluators: How the platform kept agent behavior in check as the work got more complex.
Open LLM support: How to bring any model you chose into a governed, auditable process layer.
Stronger orchestration at the core: How the case held people, systems, and AI participants together under one set of controls.
This webinar was for technology and operations leaders who were moving AI out of the pilot and into production.
