The companion
library.
Everything that makes eAi.OS executable in your organization. Templates, playbooks, technical references, and the complete glossary. Updated alongside the book.
eAi.OS: The Architectural Framework for Enterprise AI in 2026
24 pages. The canonical framework: five layers, Control Plane, maturity model, 2026 regulatory mapping. Boardroom-ready.
The Enterprise AI Operating System
18 chapters. Hardcover · ebook · audiobook. The companion deep-dive to the framework: architecture, organization, governance, industry playbooks, 90-day roadmap.
The Maturity Toolkit
The six diagnostic instruments, Maturity Radar, Failure Autopsy, Build-Buy-Borrow Triangle, AI Contribution Scorecard, Progressive Autonomy Curve, and Compounding Moat, plus the 90-day gap-closure planner. Excel + interactive web tool.
Architecture posters & radars.
Ready-to-use scaffolds.
Reference architectures.
ROI calculators per industry.
Speak the same language.
- California AB 2013Regulatory · US · CA
- California training-data transparency law. Effective 1 January 2026. Requires AI developers to publish documentation of training datasets used in any generative AI made available to Californians.
- Colorado AI ActRegulatory · US · CO
- Colorado SB 24-205. The first comprehensive US state AI law. Requires reasonable care to prevent algorithmic discrimination in high-risk decisions on employment, housing, healthcare, insurance, lending, and government services. In force February 2026.
- Control PlaneKernel · cyan
- The intelligent kernel of eAi.OS. Orchestrates strategy, security, policy enforcement, model lifecycle, observability, and agent orchestration across the five layers.
- Data FabricL01 · teal
- The trusted, real-time, interoperable data foundation. Without it, even the best models hallucinate on stale or siloed information.
- EU AI ActRegulatory · EU
- European Union regulation on artificial intelligence. High-risk obligations become enforceable on 2 August 2026.
- FHIR: Fast Healthcare Interoperability ResourcesHealthcare · L01
- The gold-standard data exchange standard in healthcare. FHIR R5 is the interoperability layer used in the eAi.OS healthcare Data Fabric.
- GitOpsL02 · cyan
- Operational model that uses Git as the single source of truth for declarative infrastructure and model deployments. Every promotion is a reviewable commit.
- Governance-as-CodeL04 · amber
- Encoding governance policies (bias thresholds, explainability requirements, approval gates) so they are auto-enforced at every CI/CD promotion. Never as quarterly review.
- High-Risk AI SystemRegulatory
- Under the EU AI Act, an AI system whose use may pose significant risk to health, safety, or fundamental rights. Triggers the heaviest obligations. US state laws (Colorado, Utah, NYC LL 144) define adjacent “consequential decision” categories.
- NIST AI Risk Management FrameworkRegulatory · US · Federal
- The US federal de-facto standard. AI RMF 1.0 plus the Generative AI Profile (AI 600-1). Voluntary but adopted by most federal agencies under OMB M-24-10 and increasingly cited in state laws.
- Maturity RadarDiagnostic
- The five-axis chart (one per layer), with the Control Plane scored at the center as a multiplier and integrity check, that diagnoses your current eAi.OS state from 1.0 to 5.0.
- Pilot PurgatoryL1 · ad hoc
- The pattern where AI experiments never reach production. The trap that catches 95% of initiatives. Maturity level 1.0–1.8.
- Progressive AutonomyL03 · violet
- The rollout pattern for AI products and agents: shadow → co-pilot → supervised → autonomous. Risk is paid for in stages, not in a launch event.
Read the framework.
Run the radar.
The resources are deep. Start with the assessment: it tells you which of these you actually need first.