Governed Intelligence

Building the foundational layers for AI in regulated industries

AI capability is growing exponentially. The intelligence infrastructure underneath - how organisations know what their AI is doing, where it's making decisions, whether it can be trusted - is barely being built. We work on that problem.

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The thesis

Governed intelligence is the architecture that sits between raw AI capability and the environments where failure has legal, financial, or human consequences.

Not governance bolted on after the fact. Governance as a structural property of how the intelligence is built.

In practice: process-level maps of where AI operates inside real business processes, decision ownership models, evidence chains a regulator can use, and degradation controls that detect when knowledge decays or accountability breaks down over time.

Published research

Five papers, five manifestos

A research programme spanning architectural diagnosis, theoretical foundations, practitioner methodology, and the governance lifecycle. All published on SSRN and open access.

Paper A

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.

Reichhart & Gelas, 2026

Paper B

The Predictive Organization: Architecture for Enterprise Intelligence

The architectural resolution - a tripartite structure coupling neural perception with symbolic reasoning, operating on claims-based knowledge.

Gelas & Reichhart, 2026

Paper C

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

Ten independent theoretical traditions converge on the same architectural requirements for organisational intelligence.

Reichhart & Gelas, 2026

All papers and manifestos →

The programme

Define the standard. Build the architecture. Certify the people.

Financial services, biotech, aviation - industries where the complexity of the governance problem matches the complexity of the solution. The methodology is published and open. The research is co-authored. The architecture is designed for regulated environments where compliance isn't a cost centre - it's the licence to operate.

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