The Control Paradox: Governance and Runtime Execution for AI ROI

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. 

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

We’ll go beyond the hype to 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 and cumulative 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 while maintaining strict identity and access controls. 
• Redefining AI ROI: Shifting from task-level productivity to end-to-end business metrics like error reduction, process velocity, and cost optimization.