AI Governance & Operational Control

While 82% of executives believe their governance can keep up with AI adoption, only 26% feel very well prepared to resolve agent conflicts in production. As agentic AI scales into interconnected, mission-critical workflows, leaders must move beyond procedural oversight to continuous, runtime operational control.

Watch OutSystems, KPMG and Yale in an insightful on-demand discussion exploring how global IT leaders are bridging the gap between governance and operational readiness, based on research from over 850 enterprise executives. Discover how to orchestrate reliable multi-agent systems, ground agents in live enterprise context, and preserve model flexibility without sacrificing security.

In this on-demand session, explore the benchmarks, technical barriers, and control strategies shaping the agentic enterprise:

The operational readiness gap: Why traditional review boards fall short when managing multi-agent handoffs, non-deterministic model updates, and cumulative system risk.
Unified control planes: How 87% of leaders prioritize applying consistent security, compliance, and governance policies across diverse AI ecosystems.
Enterprise context & integration: Grounding autonomous agents in live operational data with accuracy while maintaining deterministic identity and access controls.
Redefining AI ROI: Shifting focus away from narrow task-level productivity toward end-to-end business metrics like error reduction (64%), risk mitigation (60%), and process velocity.