For nine episodes, we taught you how to use AI. Now we're showing you what we built with it.

Episode 10 marks a major series pivot. Rick A. Morris introduces ARIA—the Advanced Risk Intelligence Agent—a production system running on real client projects right now. Not a proof of concept. Not a demo. Live.

The 2008 Vision: In 2008, Rick wrote two books describing the future of PM: organizational memory systems that captured lessons learned from every project and automatically applied them to new ones. Mathematical risk profiles based on actual history. A database that weighted patterns by severity and repeatability.

What killed it: The manual effort. When the person maintaining the system left, the knowledge left with them.

What changed in 2024: Large language models finally caught up to the idea.

The Problem with Current Risk Management:

• Risk register templates unchanged for 20 years
• Probability/impact scores based on gut feel
• Lessons learned filed away and forgotten
• "We've been doing this for decades. It's absolutely insane."

Why ARIA Is Different from ChatGPT: ChatGPT gives you generic PMBOK-based risk lists. ARIA knows YOUR organization's history:

• That your vendor management breaks down on projects over $2M
• That your design phase runs 30% long with remote teams
• That your change control only works with a specific executive sponsor

The Math: PERT Methodology Developed by the US Navy for the Polaris missile program. Three scenarios: Optimistic, Most Likely, Pessimistic (pulled from your historical database). Expected Value = (O + 4M + P) ÷ 6. Statistically sound. Not a guess.

ARIA's Six Modes:

1. Lessons Learned Ingestion - Fuel for everything
2. Risk Assessment - Full Excel workbook in minutes
3. Risk Coach - Targeted guidance in the moment
4. Project Closeout - Structured interview, closed loop
5. Project Health Check - 8-dimension color-coded assessment
6. Maintenance - Database quality management

Live Demo Results: Dynamics 365 implementation, 2.1M(cut222.7M), fixed price, thin requirements, like-for-like ERP replication.

ARIA's immediate flag: "These characteristics align almost exactly with the single highest-severity record in the entire database."

10 minutes later: Excel workbook with 129 business days contingency, $1.43M (68% of contract), confidence band of 91-167 days, full PERT calculations, complete risk register with mitigation strategies, and an executive narrative—presentation ready.

The Credibility Difference: "I think we need a buffer" vs. "This project shares characteristics with 12 historical engagements. Those engagements slipped an average of 68 business days. Here's the data."

The Closing Truth: ARIA is your organization's memory. She doesn't forget. She doesn't retire. Every project that closes makes every future risk assessment smarter. This is the closed loop PMBOK has always described but we've never had the tools to execute—until now.

Episode Timestamps:

• [00] Series pivot: from theory to production systems
• [02] The 2008 vision and why it failed
• [05] The problem with current risk management
• [08] Why ARIA is different from generic AI
• [09] PERT methodology explained
• [11] ARIA's six modes walkthrough
• [14] Live risk assessment demo: Dynamics 365 manufacturing implementation
• [20] Excel output walkthrough: executive summary, PERT calculations, risk register
• [22] What this means for PM credibility and the profession

Resources: PMThatWorks.com | YouTube - AI Driven PM

Next Episode: Atlas—the estimation engine. Front-end estimates built with the same rigor as ARIA's risk management. Practice libraries, PERT modeling, production-ready workbooks.

Subscribe if you're ready to see what AI-powered PM actually looks like in production.

Remember: AI shouldn't replace project managers. It should amplify us.

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