AI Decisioning in an Agentic World: What It Really Takes for AI to Act at Enterprise Scale

Agentic AI promises systems that can decide and act autonomously, but most enterprises aren’t there yet. While today’s agents can generate insights and recommendations, many organizations are hesitant to let them take action and make decisions. Without trustworthy data, clear governance, or operational accountability, leaders remain unsure how to effectively govern AI-driven decisions. 

In this session, Forrester VP Principal Analyst Mike Gualtieri and Pega’s Stephanie Hawkins discuss how analysts evaluate AI decisioning capabilities in an agentic world, and why decision lifecycle management, observability, and governance are becoming essential as AI moves closer to execution. 

Grounded in real enterprise use cases and analyst research, this discussion will help the audience understand why agentic AI raises the bar on decisioning maturity, and what organizations must put in place to move from experimentation to trusted, operational AI.