Maureen Doyle-Spare is an independent AI governance researcher at Doyle-Spare Research and the originator of a pioneering runtime governance architecture and foundational reasoning-layer risk taxonomy for agentic AI. Through her connected body of published research, formal architecture, and executable specification work, she is emerging as a distinctive voice in runtime governance and agentic AI risk mitigation for autonomous and multi-agent enterprise deployments.

Agentic AI systems do not fail in the same way traditional models fail. Traditional AI governance commonly evaluates model performance and outputs after inference or execution. An agentic system can execute flawless steps against meaning no institution authorized. Doyle-Spare's work moves governance to the pre-execution reasoning layer, where agents interpret meaning across fragmented enterprise systems and commit to it before they act. Her architecture provides a practical blueprint for enterprise and high-assurance deployment across sectors, with domain-specific calibration and validation.

• Doyle-Spare Agentic Governance Model (AGM): the governance model for the reasoning layer of autonomous, agentic AI.
• Agentic Workflow Drift (AWD): cumulative semantic divergence across an agentic workflow, including unapproved synthesized working logic created when an agent reconciles conflicting definitions.
• Agentic Workflow Subversion (AWS): the enterprise risk surface created when unauthorized operational logic propagates across agents, workflows, or systems as authoritative meaning.
• Semantic Deviation Index (SDI): a deterministic, exact-rational runtime standard that measures how far an agent's interpretation has moved from authorized institutional meaning.
• Deterministic Gate: the pre-execution enforcement mechanism that consumes the SDI result and produces Semantic Authorization under governed threshold and policy rules, before Authorization Emission and downstream Execution Authority.
• The Agentic 3 C's: Context, Control, and Coordination, the governance framework that constrains autonomous operational drift across enterprise and high-assurance systems.
• Agentic Blast Radius: the governance construct that bounds and evidences the scope of propagated operational impact across connected agents and workflows.
• Semantic Layer Integrity Attack (SLIA): the adversarial threat class targeting the meaning layer that agents reason over.

• Agentic AI Systems Governance: A Runtime Reference Architecture for the Reasoning Layer and the Semantic Control Plane, the capstone (Zenodo).
• The Semantic Deviation Index (SDI): A Runtime Measurement Standard for the Governance of Agentic AI (SSRN 6531238).
• The Agentic 3 C's Framework (SSRN 6674761).
• Agentic Workflow Drift and Agentic Workflow Subversion, the risk taxonomy (SSRN 6459612).
• Agentic AI Semantic Deviation Index: reference specification and working Python implementation, the open-source repository (Zenodo).

ORCID 0009-0009-6655-1394 · ResearchGate · SSRN author page · LinkedIn

Doyle-Spare Research, USA · maureen@maureendoylespare.com