Multi-Chapter | Agentic AI for Enterprise Planning

As organizations enter this new era, traditional planning models built for predictable technology adoption cycles are breaking down, redefining how strategy becomes execution. Enterprises now face an emerging Agentic AI “Red Pill / Blue Pill” moment: proactively redesign enterprise planning to harness AI-driven leverage – or risk falling behind competitors operating with fundamentally greater speed, adaptability, and execution power.

At the center of this transformation is the evolving role of the Project Management Professional. Rather than diminishing the profession, agentic AI elevates project leaders into orchestrators of human and AI collaboration – ensuring governance, alignment, prioritization, and execution readiness across increasingly autonomous systems.

Enterprise Planning for Agentic AI explores how modern planning functions must evolve from static project coordination toward dynamic, AI-orchestrated enterprise planning that continuously converts ideas, signals, and opportunities into prioritized, execution-ready initiatives.

The session also addresses a critical leadership reality: those who learn to guide AI deployment through structured planning will keep their organizations competitive, maintain control over enterprise AI adoption, and gain disproportionate leverage in their own careers.

Revised Learning Objectives

By the end of this session, participants will be able to:

Navigate the Agentic Inflection Point and the "Adoption Decision"

Distinguish Agentic AI from traditional Generative AI and evaluate the "Red Pill / Blue Pill" choice facing enterprises. Participants will understand why proactive adoption creates compounding structural advantages in execution velocity and decision-making.

Transition from Project Coordinator to AI Orchestrator

Redefine the role of the Project Management Professional within an agentic operating model. Learn how to lead the shift from manual task tracking to the high-level orchestration of autonomous agents, ensuring human-in-the-loop governance and strategic alignment.

Master Continuous Discovery and AI-Driven Intake

Develop frameworks to translate high volumes of AI-generated signals and ideas into prioritized, execution-ready programs. Understand how to maintain organizational control over fragmented AI adoption through structured enterprise-wide planning.

Architect Human + AI Collaboration Across the Lifecycle

Design a planning lifecycle where stakeholders and AI agents collaborate seamlessly from strategy and discovery to initiation and delivery. This includes establishing feedback loops that allow execution data to inform future planning dynamically.

Execute a 90-Day Agentic Readiness Roadmap

Identify immediate, practical actions to prepare the project management function for the agentic era, including AI-aware prioritization, governance for autonomous agents, and strategy-to-execution alignment to ensure long-term career relevance and leadership influence.

Speakers

 

Marc Chabot

Co-Founder & CEO, ForceEquals

Marc Chabot is a technology executive, three-time venture-backed CEO, and thought leader on the future of enterprise planning in the era of Agentic AI. Marc is the Co-Founder and CEO of ForceEquals, an AI-powered Enterprise Planning Operating System designed to help organizations move faster from idea to execution. By leveraging AI agents to gather context, align stakeholders, surface risks, and prepare initiatives for delivery, ForceEquals enables teams to dramatically accelerate planning while improving decision quality. Through his work with COOs, CIOs, and PMO leaders, Marc focuses on how Agentic AI will reshape how organizations plan complex initiatives—shifting planning from manual coordination toward AI-assisted discovery, alignment, and execution readiness. Prior to founding ForceEquals, Marc held leadership roles at leading enterprise software companies including RightNow Technologies, NetSuite, Oracle, and WeWork. He holds a BSE in Engineering from Princeton University.