About

Global research on artificial intelligence and enterprise systems.

London AI Research™ examines how artificial intelligence is adopted, governed, secured, and integrated across institutions, industries, and global markets.

Clarity for institutions navigating fast-moving AI.

Our work connects frontier technical change with the practical requirements of boards, technology organizations, security teams, governance functions, policymakers, researchers, and capital allocators.

Evidence first

Primary sources and clearly identified assumptions wherever possible.

Institutional relevance

Focus on operating systems, controls, decision-making, and real deployment constraints.

Analytical independence

Conclusions developed through evidence-led analysis, clear assumptions, and transparent methodology.

Versioned research

Fast-moving findings evolve as new evidence, regulation, and system capabilities emerge.

Research agenda

Four connected domains.

We study AI as an institutional system, connecting technical capability with operating reality.

Enterprise AI

Adoption, architecture, operating models, economics, workforce, and deployment capability.

AI governance

Decision rights, risk, evidence, controls, assurance, oversight, and accountability.

AI identity

Identity, authorization, provenance, audit, delegated authority, and lifecycle control.

State of AI

Signals across models, infrastructure, deployment, policy, security, markets, and agents.

Perspective

Research from London. Built for global institutions.

London provides a vantage point across science, finance, enterprise technology, cybersecurity, public policy, and global capital. Our work is intentionally cross-market and cross-sector.

Research & collaboration

Institutional coverage

One research lens across sectors and markets.

We study the common operating questions that emerge as AI moves into high-accountability environments.

Global scope

Enterprise

Operating models, architecture, productivity, data, security, controls, and agent deployment.

Regulated sectors

Evidence, accountability, model/system risk, identity, resilience, and assurance expectations.

Public institutions

Procurement, public accountability, service design, governance, transparency, and institutional capacity.