Research programme
Five papers, five manifestos
A systematic research programme on governed intelligence for regulated industries. All papers co-authored by Witold Reichhart and Arnaud Gelas.
The causal spine
Enterprise AI fails because of dynamics blindness (A) → the resolution is architectural (B) → the architecture works because ten traditions converge on requirements (C) → the practitioner methodology includes epistemic immunity (D) → when the architecture runs at sufficient depth, it produces governed initiative (E).
SSRN working papers
Paper A — SSRN 2026
Dynamics Blindness: When AI Is Locally Correct and Globally Non-Compliant
Diagnoses the architectural failure mechanism in enterprise AI. 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 — SSRN 2026
The Predictive Organization: Architecture for Enterprise Intelligence
Specifies the architectural resolution to dynamics blindness. A tripartite structure - Map, Physics, Player - coupling neural perception with symbolic reasoning, operating on claims-based knowledge with prevalence weighting.
Paper C — SSRN 2026
Build the Medium: Why Organizational Intelligence Is Mechanism, Not Metaphor
Theoretical foundations. Ten independent 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 — SSRN 2026
Governed Intelligence Architecture for Institutional AI
Practitioner methodology. 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.
Paper E — SSRN 2026
From Autonomy to Initiative: The Ultimate Prize in Agentic Engineering?
Capstone paper distinguishing autonomy (independence in execution) from initiative (perception of what matters through immersion). Defines three formal conditions for governed initiative: fertile pattern density, constraint-legible action space, progressive governance relocation.
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, values, and implementation guidance.
Agentic Engineering Manifesto
Principles for building systems where humans steer intent, agents execute within governed boundaries, and verified outcomes are the only measure.
Agent Software Development Lifecycle
The ASDLC - development lifecycle for agent-based systems in regulated environments.
Agent Product Lifecycle
The APLC - product governance from qualification through deployment, monitoring, and revalidation.
Intelligence Governance Manifesto
Governed intelligence as an operational discipline. Six values: governed claims over documents, traceable provenance over trusted sources, preserved contradictions over forced consensus.
Agentic Enterprise Manifesto
Enterprise-level transformation principles for organisations deploying AI agents at scale across regulated operations.
Key concepts
Named contributions
Original concepts introduced across the research programme.
Dynamics Blindness
Governed Intelligence Lifecycle
Map / Physics / Player
Epistemic Immunity
Capability / Fertility
Epistemic Operational Risk
Autonomy-to-Initiative
Governance Relocation
Living Medium
Domain Graph