Your Newest Team Member Is an AI Agent. Learn How to Govern It.

Govern the Agent and the Output

An AI agent is only as useful as the structure around it. It needs something that coordinateskm, 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.

Join Patrick Zuest, Senior Solutions Architect, and Micha Kiener, CTO, for a comprehensive overview of Flowable 2026.1: an update that deepens agent autonomy, expands audit insights, adds guardrails and evaluators, opens the platform to any LLM you choose, and strengthens the orchestration core everything runs on.

What awaits:

• Deeper agent autonomy: How Flowable 2026.1 gives agents more responsibility while keeping every action accountable.

• Expanded audit insights: How to maintain a detailed, defensible record of every decision the agent makes.

• Guardrails and evaluators: How the platform keeps agent behavior in check as the work gets more complex.

• Open LLM support: How to bring any model you choose into a governed, auditable process layer.

• Stronger orchestration at the core: How the case holds people, systems, and AI participants together under one set of controls.

This webinar is for technology and operations leaders who are moving AI out of the pilot and into production.