Making agentic AI work for insurance

Top considerations for agentic AI projects

Agentic AI promises to automate complex, multi‑step insurance workflows, but it’s not a plug‑and‑play upgrade. For IT teams, the key questions are urgent: Is your data ready? How will agents integrate with systems and maintain auditability? What controls stop hallucinations and unsafe actions?

Join this panel of industry and technology leaders to learn what IT must get right to capture agentic AI’s benefits while avoiding costly mistakes.

When

Tuesday June 2, 2026 at 10am ET.

What you will learn

Why IT must act now: market pressures, competitive advantage, and where agentic AI adds real value.
The biggest pitfalls that derail agent projects: siloed data, weak interfaces, missing fallbacks, and insufficient governance.
Technical requirements for production: data foundations, integration patterns, explainability and human‑in‑the‑loop workflows.
A prioritized set of use cases and a pragmatic roadmap to move from pilot to production with controlled risk.