People
Users, leaders, operators, reviewers and the people affected by AI-assisted decisions.
Whole-system AI design
Intelligence Architecture for accountable institutional AI.
Intelligence Architecture is the deliberate design of how people, knowledge, models, agents, tools, infrastructure and governance work together as one accountable system.
The public definition
Design the complete intelligence environment—not just the model.
AI systems become institutional systems when they touch people, information, permissions, workflows, decisions and infrastructure. Intelligence Architecture makes those relationships explicit so human authority, evidence and responsibility remain visible.
Search-language clarity: enterprise AI architecture. Atkinson language: Intelligence Architecture.
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Public-safe by design
This page describes the role and components of Intelligence Architecture. It does not disclose proprietary Marbles mechanics, internal schemas, orchestration topology, deployment runbooks or implementation recipes.
Eight connected elements
An accountable AI system is larger than its model.
Knowledge
Trusted sources, context, evidence, institutional memory and rules for what is authoritative.
Models
Model choice, evaluation, adaptation, versioning and boundaries appropriate to the use case.
Agents
Bounded action, approvals, escalation and the operational permissions AI may exercise.
Interfaces & Tools
Copilots, applications and interaction patterns through which people work with AI.
Governance
Policy, privacy, security, IP, auditability, accessibility, risk and continued oversight.
Infrastructure
Cloud, hybrid, private and accelerated compute selected according to workload and control needs.
Human Authority
Clear decision rights, accountability and the ability to understand, challenge and override AI-assisted outputs.
Related pathways
Architecture connects learning, control and implementation.
Design the system around the responsibility.
Bring us the people, information, workflows, risks and infrastructure question. We can help map a responsible architecture without exposing or locking you into proprietary implementation detail.