Executive AI Laboratory · 8 Sessions · Available by Request
The Executive
AI Laboratory
The Road to Competitive Advantage

An 8-session guided laboratory for executive sponsors. Walk the complete AI project lifecycle — from identifying value propositions through deployment and governance — using a dual-domain enterprise AI stack: supply chain intelligence and cybersecurity threat detection, built and running at Milestone Planning and Research. 30 minutes per session. Presented by John Aaron, PhD. Selective enrollment. For executives only. Complimentary for qualified applicants.

Apply for the Laboratory → View the Sessions ↓
8 Sessions · Microsoft Teams · Executive Sponsors Only · Dual-Domain AI Stack · Complimentary for Qualified Executives
The Concept

Not a briefing.
A working laboratory.

Every session runs against live enterprise AI systems. You are not watching a demonstration of what AI can do in theory — you are watching real systems answer real questions, with real quality gates, real audit verdicts, and a real accountability chain. Eight sessions. The complete lifecycle.

🔬
LIVE SYSTEMS
Real tools, running now
The headline corpus, RAG engine, IUVO™ forecast, PRIMMS-GPT, and the agentic short signal — all in production, all demonstrated live in every session.
🗺️
FULL LIFECYCLE
Vision through deployment
Value propositions, requirements, design, build, testing, validation, agents, risk — and the deployment and governance decisions that determine whether AI produces lasting competitive advantage.
🎯
SPONSOR FOCUS
Built for the decision-maker
Not for developers. For the executive who funds, governs, and champions AI projects. You will know what to require, what to approve, and what should stop a project cold.
THE ARCHITECTURAL FACT
The default answer is the average answer.
A language model is trained to produce the statistically most probable response — the modal answer. That is, by construction, the same answer every other organization using the same model is receiving. Competitive advantage cannot come from the model itself. It comes from knowing when the modal answer is wrong for your situation — and governing accordingly.
THE HOMOGENEITY PROBLEM
Same stack. Same models. Same answers.
When every organization in your industry deploys the same AI from the same vendors and accepts the modal response by default, the technology stops being a differentiator. The organizations that win are the ones with the judgment to identify where the modal answer is not the right answer — and to validate that distinction before acting on it. That judgment is what this series develops.
EACH SESSION
30 minutes · focused and dense
15 min topic + live lab demonstration
10 min Q&A with John Aaron
5 min preview — next session
One takeaway framework you can use that week
THE SERIES
8 sessions · Available by request
30 minutes per session · Microsoft Teams
Scheduling flexible · By arrangement
Standing cohort — register once, attend all 8
Each session also stands alone for new attendees
The Laboratory Roadmap · 8 Sessions

The complete AI project
lifecycle. Live.

The series follows the OCC-governed AI development lifecycle from value identification through deployment, demonstrated across a dual-domain enterprise AI stack — supply chain intelligence and cybersecurity threat detection — using the same Bayesian Weight-of-Evidence architecture applied to two completely different problems. Each session is self-contained — join the cohort for the full arc or attend individual sessions as a standalone. Every session includes a live demonstration using production enterprise systems.

SESSION
1
JUL 14
OCC Phase 1 · Foundations · Business Need
What AI Really Is — and What It Is NotSTANDALONE
Most executives are sold AI as if it were a deterministic system — give it an input, get a guaranteed output. That is not what AI is. This session establishes the foundational distinction: AI systems are probabilistic, not deterministic. They produce likelihoods, not certainties. That single insight changes everything about how you sponsor, govern, and evaluate them. From there: where AI creates real value versus AI theater, the OCC lifecycle overview as the map for the entire series, and what an executive sponsor's role actually is at each phase gate.
Probabilistic vs deterministic · Value framework · OCC lifecycle map · Sponsor's role defined
TUE JUL 14 · NOON CT · MICROSOFT TEAMS
SESSION
2
JUL 21
Enterprise Stack · Live Tour · The Inductive Enterprise
The Laboratory: The AI Capability Stack in PracticeLIVE DEMOSTANDALONE
A live tour of a complete enterprise AI stack organized by capability layer — the same framework used in The Inductive Enterprise. On the structured data side: univariate and Bayesian analysis, machine learning classification, time series and sentiment forecasting, and inductive agents that act on patterns. On the unstructured data side: word extraction and topic modeling, sentiment-based and economic forecasting, and language models. You see each capability layer running live. Not the vendor names — the categories. That is what transfers to your organization regardless of which tools you choose.
Capability layers · Structured + unstructured · Live demonstration · Inductive Enterprise framework
TUE JUL 21 · NOON CT · MICROSOFT TEAMS
SESSION
3
JUL 28
OCC Phases 1–3 · Requirements & Design
Requirements and Design: Quality Gates from the StartSTANDALONE
How requirements are written for probabilistic systems. What governance bounds are and why human authority must be designed in before build begins. What to require from your AI teams before a line of code is written.
OCC Phases 1–3 · Requirements for probabilistic systems · Governance by design
TUE JUL 28 · NOON CT · MICROSOFT TEAMS
SESSION
4
AUG 4
OCC Phase 4 · Build · PRIMMS-GPT
Building with AI: PRIMMS-GPT and the Project Management DisciplineLIVE DEMO
How the build phase works when the builder is an AI system. A live walkthrough of PRIMMS-GPT — milestone gates, human sign-off architecture, and what the project manager's role becomes. A model you can mandate in your own organization immediately. This session also covers prompt engineering: how well-designed prompts dramatically enhance the intelligence and usefulness of AI systems, creating significant productivity gains across the organization. The counterweight: prompt engineering also introduces a security vulnerability surface. Internally, poorly governed prompts can be manipulated — intentionally or not — in ways that subvert system behavior. Countermeasures and governance controls for prompt security are part of what PRIMMS-GPT is built to address.
PRIMMS-GPT live · Milestone gates · Human sign-off architecture · Prompt engineering · Security countermeasures
TUE AUG 4 · NOON CT · MICROSOFT TEAMS
SESSION
5
AUG 11
Language Models · RAG · Live Query
Language Models in the Enterprise: RAG, Claude, and ChatGPTLIVE DEMOSTANDALONE
Language models are the most visible and most misunderstood layer of the AI stack. This session covers what they actually are, where they genuinely help, and where they fail — and why the failure modes matter more than the demos. We cover the major public models including Claude and ChatGPT as part of the enterprise stack: what each is suited for, how they differ, and how to evaluate any language model claim from any vendor. The live demonstration uses a Retrieval-Augmented Generation system built on 783,000 vetted headlines — bring a real question about your market or competitive environment. The system answers it in real time, showing exactly how RAG grounds language model output in verified data rather than hallucination.
Claude · ChatGPT · RAG · 783K headline corpus · Bring your own question · Language model evaluation
TUE AUG 11 · NOON CT · MICROSOFT TEAMS
SESSION
6
AUG 18
OCC Phase 5 · 5C Audit · WoE Verdict
Testing and Validation: The OCC-5C Audit in PracticeLIVE DEMOSTANDALONE
The 5C framework applied to a live system. What each check looks for. The WoE verdict — PROCEED, WARN, FATAL — and what each means for the sponsor. A live audit demonstration. The IDS-X vulnerability coverage framework is introduced as a second validation model: a system that explicitly documents what it detects, partially detects, and cannot detect — and why. Honest scope boundaries are not a weakness. They are the mark of a well-governed system.
5C audit live · WoE verdict · What FATAL means for a sponsor
TUE AUG 18 · NOON CT · MICROSOFT TEAMS
SESSION
7
AUG 25
Agents · Delegation Architecture · Risk
Agents and Risk: Governed Autonomy and the Delegation ArchitectureLIVE DEMO
What agents are, where they create risk, and how the delegation architecture governs them. Three governed agentic systems demonstrated across three domains: the OTD supply chain alert agent, the IDS-X daily security triage workflow (sense → fuse → K-total verdict → human escalation decision), and the agentic short-sale delegation engine with its five-check governance architecture. Same pattern, three entirely different applications.
Agentic systems · Five-check governance · Human override in practice
SESSION 8 · MICROSOFT TEAMS
SESSION
8
SEP 8
OCC Phase 6 · Deploy · Sustain · Govern
Sponsoring, Deploying and Sustaining: From Vision to Competitive AdvantageCAPSTONE
The full lifecycle reviewed through deployment. The sponsor's role at every phase gate including the deployment decision. Post-deployment monitoring, drift detection, and ongoing governance responsibility. The readiness assessment. Your organization's next steps toward building AI as a competitive advantage.
Full lifecycle · Deployment decision · Post-deploy monitoring · Board-level accountability · Readiness assessment
TUE SEP 8 · NOON CT · MICROSOFT TEAMS · SERIES FINALE
SERIES RUNS
Available by Request
30 minutes per session · Microsoft Teams · Scheduling by arrangement
COMPLIMENTARY FOR QUALIFIED EXECUTIVES
COMPLIMENTARY · SELECTIVE ENROLLMENT · EXECUTIVES ONLY
Apply for the Laboratory →
Presented By

John Aaron, PhD

JA
Founder & Principal · Milestone Planning and Research, Inc.
Author, OCC Framework · AI Governance Practitioner · Builder of the Enterprise AI Laboratory

John Aaron has spent over a decade building the systems you will see demonstrated in this series — the OCC standard, the 5C audit framework, the Hybrid Cognition architecture, PRIMMS-GPT, the IUVO™ narrative forecasting engine, and the IDS-X sensor fusion intrusion detection system. The laboratory spans two complete enterprise AI stacks: supply chain intelligence on Windows and cybersecurity threat detection on Linux — the same Bayesian Weight-of-Evidence architecture applied to two entirely different domains. Every session runs against live production systems he built and continues to operate.

The Executive AI Laboratory is the only series where you see the complete AI project lifecycle demonstrated end-to-end in a working enterprise environment — not simulated, not theoretical.

Full Profile →
Application · Executive Sponsors Only

Apply for the Laboratory

This series is for senior executives who sponsor, fund, or govern AI initiatives. Every application is reviewed personally by John Aaron, PhD. Accepted applicants receive a recurring Microsoft Teams invite for all 8 sessions — no public meeting link is posted anywhere.

WHAT HAPPENS NEXT
1
Submit your application
Takes 3 minutes. Reviewed personally — not automated.
2
Response within 48 hours
John Aaron replies directly if your application is accepted. The series is complimentary for qualified executives.
3
Recurring Teams invite sent
Teams invite sent upon enrollment confirmation. No public link.
4
First session scheduled upon enrollment
30 minutes. One framework you can use immediately. The laboratory is live from session one.
QUESTIONS
John Aaron, PhD
john.a@mprteam.com

Dale Van Leeuwen
dale.vl@mprteam.com
APPLICATION FORM
The Executive AI Laboratory
8 Sessions · Available by Request · Complimentary
✓
Application received.
John Aaron will be in touch within 48 hours. Accepted applicants receive a recurring Microsoft Teams invite covering all 8 sessions.
Applications reviewed personally by John Aaron.
Accepted applicants receive a recurring Microsoft Teams invite within 48 hours.