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Enterprise AI Agent Graph essays and white paper.
Resources
Resources
Practical resources for evaluating and operating enterprise AI governance.
Resource paths
A practical reading path for agent control
Evaluate
Readiness, inventory, discovery, and board scorecard templates.
Implement
Architecture notes, runtime control playbook, and framework mappings.
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Enterprise AI Agent Graph Series
Five essays on the operating model behind visibility, inventory, graph context, normalization, and enterprise visibility.
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Architecture Notes
Graph model and provider normalization notes that are available now.
Understand
The Enterprise AI Agent Graph
Why Visibility Comes Before Governance.
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Strategic perspectives
A compact reading path for the operating model behind Tegrix.
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Readiness and inventory assets
Readiness Assessment
Assess discovery, ownership, runtime control readiness, and audit evidence posture.
Agent Inventory Template
Capture owner, purpose, runtime, platform, tools, data access, risk, policy, and evidence fields.
Unregistered Agent Discovery Checklist
Find likely AI agents across platforms, repositories, logs, APIs, workflows, and automations.
Board-Ready AI Governance Scorecard
Summarize inventory coverage, high-risk activity, ownership gaps, exceptions, policy coverage, and evidence readiness.
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Architecture and control materials
Only completed materials are shown.
Enterprise AI Agent Graph
The relationship model for agents, owners, models, tools, data, policy, risk, and evidence.
Provider Normalization
How platform-specific agent evidence becomes a common enterprise operating language.
Runtime Control Playbook
Move from policy documents to allow, deny, hold, approval, exception, and evidence workflows.
ISO 42001 / NIST AI RMF / EU AI Act mappings
Connect agent governance evidence to common regulatory, risk, and control frameworks.