Published research programme
Six papers, five manifestos, one causal arc
A systematic research programme on epistemic governance for regulated industries. Papers co-authored with Arnaud Gelas. Five published on SSRN, one on Zenodo, a seventh in preparation.
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) → the Knowledge Layer is the reference architecture that makes delegated action admissible at the moment it commits (G) → ontology governance keeps the type system beneath the claim graph governable, versionable, and transferable (F).
Working papers · each under a permanent DOI
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.
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.
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.
Paper D — The methodology · Published on SSRN
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. Names epistemic operational risk: the risk of institutional harm caused by acting on degraded knowledge.
Paper E — The capstone · Published on SSRN
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.
Paper G — The reference architecture · Published on Zenodo
The Knowledge Layer: A Reference Architecture for Delegated AI Action in Regulated Institutions
AI capability is no longer the constraint on enterprise deployment. Admissibility is. The claim as the atomic unit, standing on two governed axes of evidential warrant and authority, a consequence-scaled gate, and a replayable action manifest - the record an institution can put in front of a supervisor after the fact.
Paper F — The engineering · In preparation
Ontology Governance in Claim-Level Architectures: The Bootstrap Problem, Versioning, and Cross-Domain Transfer
The type system beneath the claim graph. Bootstrap recursion, ontology versioning bound into manifest replay, and cross-domain alignment handled as a governed claim class - the ontology governed by the same mechanism as the claims it types.
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.
Gelas, A.
Agent Software Development Lifecycle
Gelas, A.
Gelas, A.
Intelligence Governance Manifesto
Reichhart, W. & Gelas, A. · v1.5, May 2026 · CC BY-SA 4.0
Reichhart, W. & Gelas, A. · v0.2, May 2026 · CC BY-SA 4.0
Vocabulary
Named contributions
Original concepts introduced across the research programme.
Machine-Readable Intelligence (MRI)
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
The Knowledge Layer
Admissibility
Two-Axis Standing
Replayable Action Manifest