AI Governance
Operating models, accountability, evidence, lifecycle controls and institutional oversight.
Research
Research for the next generation of artificial intelligence systems.
Miami AI Group™ examines the technologies, operating models and institutional questions shaping artificial intelligence adoption.
Our research focuses on enterprise AI, AI governance, agentic systems, identity, infrastructure and responsible innovation—connecting technical capability with real-world implementation.
Research agenda
Our research program is designed around the practical questions organizations face as artificial intelligence moves from experimentation into production systems.
Agentic Systems
Autonomous workflows, identity, authorization, orchestration, tools and human control.
AI Infrastructure
Compute, inference, model access, data architecture, resilience and enterprise economics.
Featured research2026
Research
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Research library
3 publications
Agentic AI Architecture: Designing Enterprise Systems for Autonomous Work
An enterprise architecture for bounded AI autonomy, with identity, least privilege, tool gateways, orchestration, memory, observability and human control.
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Enterprise AI Governance: Building an Operating Model for Responsible Scale
A practical operating model for enterprise AI governance, covering inventory, risk tiers, accountability, lifecycle controls, evidence, agentic AI and institutional oversight.
Read publication ↗Research approach
Independent analysis grounded in enterprise reality.
Miami AI Group™ research combines technical analysis, enterprise architecture, governance design and emerging-technology assessment. The objective is to produce work that is useful to technology leaders, governance professionals, researchers and institutions navigating the transition to increasingly intelligent systems.
Our publications are intended to clarify complex topics, frame strategic questions and identify practical considerations for responsible implementation.