Making Agentic AI Operational: Governed Orchestration and Trusted Execution with Automic V26

Tuesday, June 23
8 a.m. Pacific | 11 a.m. Eastern

If you are responsible for enterprise automation, you already understand that AI alone does not solve operational complexity. Most organizations already rely on workload automation and orchestration to coordinate ITOps scheduling, DevOps pipelines, DataOps/MLOps workflows, and increasingly distributed cloud services across mainframe, distributed, and hybrid environments. The challenge is determining how AI-driven decision-making can be safely embedded into these operational processes without introducing risk, inconsistency, or loss of control.

Advances in agentic AI, orchestration, and automation intelligence are changing what is possible. By embedding AI directly into governed workflows and extending orchestration across APIs, external services, and emerging AI agents, organizations can move beyond isolated AI experimentation toward coordinated, auditable, and policy-driven execution at enterprise scale.

Based on research from Enterprise Management Associates (EMA), insights from Broadcom’s Automic V26 release, and real-world enterprise operational challenges, this webinar will examine how organizations are advancing toward more intelligent automation operations—not by replacing existing systems, but by extending orchestration, governance, and execution intelligence across increasingly complex environments.

Attend this webinar featuring Dan Twing, President and COO at EMA, and Kaj Wierda, Automic Product Manager at Broadcom Inc., for insights on:

• Why operational trust—not AI capability—is becoming the defining challenge for enterprise AI adoption

• How governed orchestration enables AI-driven decision-making within mission-critical workflows

• Where agentic AI, APIs, and orchestration are converging into more unified execution models

• Why workload automation is evolving from scheduling into a broader enterprise control layer

• How organizations can balance automation intelligence with governance, auditability, and human oversight at scale