AI governance research & advisory.

Frameworks for safe, auditable AI deployment. Peer-reviewed research. Practical guidance for organizations navigating autonomy, risk, and oversight.

Open frameworks.
Peer-reviewed publications.

We publish our thinking so you can verify it. Not slogans — architecture you can implement.

View all research
A

AURA

Tiered autonomy framework. Supervised → Guided → Trusted. Risk-calibrated escalation for AI systems.

TC

ThoughtChain

Traceable reasoning protocol. Stepwise logic capture with audit trails for compliance and oversight.

RSI

Orchestration-Layer RSI

Recursive self-improvement at the orchestration layer, preserving governance and human oversight.

Preprint

Recursive Self-Improvement at the Orchestration Layer

An alternative architecture for autonomous agent evolution.

Zenodo 2026 · DOI:10.5281/zenodo.18842906
Forthcoming

Consent Mechanisms in Multi-Agent Systems

Dynamic consent protocols for human-AI collaborative development.

IEEE SoutheastCon 2026
2025

From Prototype to Persona

AI agents for decision support and cognitive extension.

Issues in Information Systems 26(1)
2024

ML in Building Management

A survey of machine learning applications in commercial buildings.

Issues in Information Systems 25(4)

Work with us

AI governance consulting for organizations deploying autonomous systems. Risk frameworks, policy development, and implementation guidance.

"Extension. Augmentation. Never replacement."

— From the DigitalEgo Manifesto