The unifying principle across everything we do is Hybrid Cognition — a design discipline in which deterministic signal computation runs first, an LLM interprets within a fixed five-layer protocol second, and humans retain exclusive authority over judgment, commitment, and accountability. IUVO™ proves it in financial forecasting. PRIMMS-GPT proves it in project risk. The architecture generalizes to any business domain where weak signals accumulate before conventional reporting catches them.
A weekly S&P 500 forecast driven entirely by textual data — 185 headline topic series, co-integrated with price, processed through a Bayesian statistical model and a five-layer Claude analysis. Published every Monday. Free to read. The live demonstration of what narrative intelligence can do.
Bayesian project risk intelligence. Detects structural deterioration in ERP implementations and business transformation programs weeks before it appears on any dashboard. MATLAB computes. Claude interprets. Humans decide.
The Hybrid Cognition architecture adapted to your domain. From supply chain risk and compliance monitoring to enterprise transformation and organizational health — wherever weak signals accumulate before dashboards see them, the same structure applies: compute first, interpret second, humans decide.
Two programs: AI Governance — drawn from the books — and The Probability Advantage, led by Tim Ricordati, Ed.D. Operational workshops that build lasting AI capability, not one-day events.
The unifying concept across everything Milestone Planning and Research produces is Hybrid Cognition — a design discipline, not a philosophy. A deliberate structural separation in which AI systems generate, explore, and recombine possibilities at scale, while humans retain exclusive authority over belief formation, evidence evaluation, and final decisions.
This is not a positioning statement. It is an engineering constraint that governs how every system we build actually works. In IUVO™, Stata computes and locks all quantitative outputs before Claude interprets them. In PRIMMS-GPT, MATLAB computes the Bayesian evidence before Claude runs the Cortical Hierarchy. In every consulting engagement and every training workshop, the same sequence applies: machine perception first, human judgment last.
The research base is the six-volume Inductive Enterprise series — from AI governance and Hybrid Falsification through Bayesian project risk, competitive strategy under AI convergence, and the structural proof from Gödel, Turing, Hayek, and Arrow that human agency is permanently and irreducibly necessary.
Understand the architecture →Every product and service we offer is built on the same underlying architecture: structured signal extraction from textual or quantitative data, Bayesian weight-of-evidence accumulation, and LLM interpretation within a fixed five-layer protocol that cannot override the computed signals.
The Inductive Enterprise series covers AI governance, hybrid cognition, Bayesian project risk, narrative AI, competitive strategy under AI convergence, and the structural proof from Gödel, Turing, Hayek, and Arrow that human agency is permanently necessary.
IUVO™ applies the Bayesian + LLM architecture to financial narrative forecasting. PRIMMS-GPT applies it to project risk management. Both are John Aaron's original work — built from first principles, validated operationally, and available for your organization.
Advisory on enterprise AI deployment, Business Process Cognition system design, narrative intelligence, AI governance, and competitive strategy — led by John Aaron. Custom AI solutions for supply chain, compliance, manufacturing, transformation, and organizational health using the same Hybrid Cognition architecture as PRIMMS-GPT and IUVO™. Enterprise AI transformation advisory by Shouvik Dutta. Technology execution and AI engineering leadership by Jameer Khan. Capability workshops through The Probability Advantage, led by Tim Ricordati, Ed.D.
Founder of Milestone Planning and Research (est. 1995). PhD Economist, University of Illinois Chicago. Author of six books in the Inductive Enterprise series. Creator of PRIMMS-GPT, IUVO™, the PRIMMS® Portfolio System, and IDS-X Intrusion Detection. PMP Certified #1018. Electronics and avionics background. 2,000+ project managers trained since 1989.
His work spans AI system design, Bayesian analytics, time series econometrics, ERP implementation leadership, AI governance, and specialty AI product development. Every product and consulting service offered here originates from his research and 30 years of operational practice.
Full profile →Senior AI and digital transformation executive. Former CIO across multiple industries. Specializes in moving organizations from isolated AI experiments to production-grade capability — data platform architecture, ERP modernization, LLM integration, AI governance, and EBITDA-level impact.
Full profile →Executive coach and organizational development consultant. Partner, George Washington Street Partners. Delivers The Probability Advantage workshops — operational engagements that embed AI capability, LLM integration, probabilistic reasoning, and the AI PMO directly into how leadership teams work.
Full profile →Senior statistician and data scientist with 30+ years of applied practice across Fortune 500 companies, healthcare, hospitality, and gaming. Co-developer of the SCA Statistical System. Expert in time series forecasting, machine learning, survival analysis, and cloud-based analytic platform architecture. His defining discipline: solutions that are rigorous enough to be right and simple enough to actually get used.
Full profile →Seasoned technology leader who directs multidisciplinary teams of software engineers, AI specialists, and project managers to deliver scalable, high-impact solutions. Combines technical depth with strategic thinking to drive innovation at the intersection of engineering and AI — maintaining rigorous execution discipline while aligning technology initiatives with measurable business outcomes.