Published research programme

Five papers, five manifestos, one causal arc

A systematic research programme on epistemic governance for regulated industries. Papers co-authored with Arnaud Gelas. Three published on SSRN; two submitted, in review.

The causal spine

Enterprise AI fails because of dynamics blindness (A) → the resolution is architectural (B) → ten independent traditions converge on the same requirements (C) → the practitioner methodology includes epistemic immunity (D) → at sufficient depth, governed initiative emerges (E).

SSRN working papers

Paper A — The diagnosis · Published on SSRN

Dynamics Blindness: When AI Is Locally Correct and Globally Non-Compliant

LLMs process tokens without tracing causal chains through organisational dependencies. Chain-of-thought, RAG, tool use, and multi-agent systems do not add the missing causal infrastructure. The problem is structural, not parametric.

Reichhart, W. & Gelas, A. (2026)  ·  Read on SSRN →  ·  Download PDF ↓

Paper B — The resolution · Published on SSRN

The Predictive Organization: Architecture for Enterprise Intelligence

A tripartite structure - Map, Physics, Player - coupling neural perception with symbolic reasoning, operating on claims-based knowledge with prevalence weighting.

Gelas, A. & Reichhart, W. (2026)  ·  Read on SSRN →  ·  Download PDF ↓

Paper C — The foundations · Published on SSRN

Build the Medium: Why Organizational Intelligence Is Mechanism, Not Metaphor

Ten independent theoretical traditions - from cell biology to social systems theory - converge on the same architectural requirements for organisational intelligence. Introduces the capability/fertility distinction and the autonomy-to-initiative transition.

Reichhart, W. & Gelas, A. (2026)  ·  Read on SSRN →  ·  Download PDF ↓

Paper D — The methodology · Submitted, in review

Governed Intelligence Architecture for Institutional AI

The Governed Intelligence Lifecycle - Ingest, Consolidate, Curate, Expand, Apply - with an epistemic immunity framework protecting against six systemic knowledge failures. Introduces epistemic operational risk as a distinct risk category.

Gelas, A. & Reichhart, W. (2026)  ·  Author page on SSRN →  ·  Download PDF ↓

Paper E — The capstone · Submitted, in review

From Autonomy to Initiative: Enterprise AI's Real Endgame

The AI industry optimises for autonomy when the real prize is initiative - agents that perceive what matters through immersion, not instruction. Three conditions for governed initiative, governance relocation, and the domain graph as the missing middle layer.

Reichhart, W. & Gelas, A. (2026)  ·  Author page on SSRN →  ·  Download PDF ↓

The Agentic Governance Stack

Five public manifestos

A five-layer governance framework spanning engineering practice through enterprise transformation. Each layer has a published manifesto with principles and implementation guidance. Layers 1-3 authored by Arnaud Gelas. Layers 4-5 co-authored.

Layer 1
Layer 2
Layer 3
Layer 4

Intelligence Governance Manifesto

Reichhart, W. & Gelas, A.

Layer 5

Agentic Enterprise Manifesto

Reichhart, W. & Gelas, A.

Vocabulary

Named contributions

Original concepts introduced across the research programme.

Machine-Readable Intelligence (MRI)

Dynamics Blindness

Governed Intelligence Lifecycle

Epistemic Governance

Epistemic Immunity

Capability / Fertility

Epistemic Operational Risk

Autonomy-to-Initiative

Governance Relocation

Living Medium

Circuit Breaker Principle

Map / Physics / Player

Domain Graph