- How mature are our AI capabilities?
- What should we improve next?
- How do we benchmark ourselves objectively?
- How can we align strategy, governance, technology, people, and operations?
Artificial intelligence is rapidly becoming a core capability of modern enterprises. Yet while organizations invest heavily in AI technologies, many still struggle to answer fundamental questions:
Today, there is no widely adopted, open, vendor-neutral standard that enables organizations to consistently assess and advance their enterprise AI maturity.
That is why we created EAIMS (Enterprise AI Maturity Standard).
Our Mission
EAIMS is an open, evidence-driven framework designed to help organizations evaluate, benchmark, and continuously improve their AI maturity.
Our goal is simple:
Build a transparent, practical, and community-driven standard that organizations around the world can use regardless of industry, geography, or technology vendor.
Core Principles
EAIMS is built upon several fundamental principles:
- Vendor Neutral
- Open by Design
- Evidence Driven
- Enterprise Focused
- Practical and Actionable
- Community Governed
- Continuously Evolving
These principles guide every aspect of the framework and ensure that EAIMS remains useful, trustworthy, and adaptable as AI technologies evolve.
What EAIMS Covers
The standard provides a structured approach to evaluating enterprise AI maturity across multiple organizational dimensions, including:
- AI Strategy
- Governance and Risk
- People and Skills
- Data and Technology
- Operations and Delivery
- Measurement and Continuous Improvement
Rather than focusing on technology alone, EAIMS recognizes that successful AI transformation depends on organizational capability as much as technical excellence.
Why Open?
Enterprise AI is becoming foundational infrastructure.
The methods used to assess AI maturity should therefore be transparent, reviewable, and continuously improved through community collaboration.
An open standard encourages:
- Independent review
- Public discussion
- Evidence-based improvements
- Cross-industry adoption
- Long-term sustainability
Community First
EAIMS is intended to grow through contributions from practitioners, researchers, architects, engineers, consultants, and enterprise leaders.
Whether you want to review documentation, suggest improvements, report issues, contribute examples, or participate in discussions, your expertise is welcome.
Road Ahead
The initial roadmap includes:
- Core specification
- Assessment methodology
- Maturity model
- Scoring guidance
- Reference implementations
- Benchmarking methodology
- Community governance
- Certification framework
Each release will be openly documented and versioned to ensure transparency and traceability.
Join the Journey
Enterprise AI is transforming every industry.
Building a common language for AI maturity is a challenge that benefits from broad collaboration.
If you believe organizations deserve an open, practical, and vendor-neutral way to assess and improve their AI capabilities, we invite you to join the EAIMS community.
Together, we can help shape a trusted standard for enterprise AI maturity.
🌐 Website
https://eaims.org
💻 GitHub
https://github.com/eaims/EAIMS
💼 LinkedIn
https://www.linkedin.com/company/137304125
Enterprise AI Maturity Standard (EAIMS)
Open. Vendor-Neutral. Evidence-Driven.