Enterprise AI Maturity
From Experimentation to an AI Operating Model — a practical handbook for assessing, governing, and advancing enterprise AI capability through the EAIMS open framework.
A practical path from AI pilots to enterprise capability
This book helps leaders and practitioners assess current AI maturity, identify evidence gaps, establish risk-sensitive governance, design an AI operating model, and translate findings into an actionable improvement roadmap.
What the book includes
Evidence-based assessment
A structured method using evidence confidence, capability anchors, scoring rules, and gate conditions.
AI governance by design
Practical guidance for accountability, risk classification, impact assessment, assurance, and responsible AI.
AI operating model
Decision rights, roles, funding, portfolio governance, architecture, delivery, MLOps, and adoption.
64-indicator instrument
A core assessment instrument spanning eight enterprise AI maturity dimensions.
Implementation templates
Evidence register, workshop playbook, AI system inventory, impact assessment canvas, and responsibility guide.
90-day plan
A sequenced program for visibility, assessment, target-state design, minimum viable governance, and mobilization.
Recommended citation
Published August 8, 2026 by the EAIMS Open Framework Initiative under the Creative Commons Attribution 4.0 International license. EAIMS is an independent improvement framework and does not itself confer certification, regulatory approval, or legal compliance.
بلوغ هوش مصنوعی سازمانی
نسخه فارسی کتاب EAIMS، راهنمایی عملی برای سنجش، حاکمیت و توسعه بلوغ هوش مصنوعی در سازمان است و مفاهیم اصلی چارچوب EAIMS را برای مدیران، متخصصان فناوری، پژوهشگران، مشاوران و فعالان فارسیزبان حوزه هوش مصنوعی در دسترس قرار میدهد.
Naserkhaki, E. (2026). Enterprise AI Maturity — Persian Edition (Version 1.0.1). EAIMS Open Framework Initiative.
https://doi.org/10.5281/zenodo.21863979