AI-Enabled Agents in Project Management
Every project manager has been told AI is going to change the work. Almost nobody has been shown what that looks like on a Monday morning.
Rick A. Morris has spent the last two years building it. Not chatbots, not prompt libraries, but a suite of named agents that carry real project management method inside them. ARIA turns historical variance into weighted risk exposure. ATLAS builds three-point estimates that hold up in a pricing conversation. PACE measures how many sprints a story slides before it finishes. Gatekeeper asks whether a project should exist at all. TANGO turns an estimate into a contract that rewards early delivery. Compass coaches influence when you have no authority.
In this session, Rick opens the hood. You will see how the agents get built, what separates an agent that carries a framework from a bot that produces text, and where this market is going for the people who manage projects for a living. The tools are not the story. The discipline the tools amplify is the story. Bring your hardest project problem and see whether an agent would have caught it.
LEARNING OBJECTIVES
- Build a working agent. The four parts that matter are the role, the method it carries, the memory it keeps, and the human confirm gate that keeps a person accountable for every write.
- Tell a real agent from a wrapper. See the difference in worked examples, including ARIA's PERT-based risk exposure and Gatekeeper's Net Operating Value scoring against four intake gates.
- Understand where the durable advantage lives. It is not the model you pick. It is the knowledge you feed the agent and how that corpus compounds every time you use it.
- Prepare your organization before you adopt. Tools amplify whatever is already there, discipline or chaos, so readiness has to come before adoption, or you just scale the mess faster.
- See where the market is heading. When the artifacts write themselves, the project manager's job moves from producing documents to exercising judgment, and the people who cannot show judgment are the ones at risk.
Speakers
