AI Readiness Score

AI Readiness 100 Score

AI Impact Index Assessment

AI is not a strategic priority - we're focused on traditional methods

AI is interesting but we're taking a wait-and-see approach

AI is part of our strategic plan with allocated budget and timeline

AI transformation is a top strategic priority driving all major decisions

Executive-driven support for AI with little middle management support or buy-in

Active support from middle management but disconnected from executive vision

Full organizational alignment, from C-suite to frontline employees

We don't see AI as necessary to our business model

AI might be useful someday but isn't urgent

AI adoption is important to stay competitive in our industry

AI is critical for survival - we must lead or risk being left behind

Legacy systems with limited integration capabilities

Mix of old and new systems with some connectivity issues

Modern systems with good integration and cloud capabilities

Cutting-edge, AI-ready infrastructure with seamless integration

Minimal IT budget focused on maintaining existing systems

Cautious investments in proven technologies only

Regular technology upgrades with some budget for innovation

Aggressive investment in emerging technologies and innovation

Each team stores and manages their own documents and data separately, with little visibility across departments.

Some document repositories exist (such as Sharepoint or other intranet), but these are separated from other employee or user data.

Most materials are accessible in a single place, with some inconsistencies or duplication.

There is a single source of truth across the organization with combined structured and unstructured data.

No one has significant AI knowledge of experience

A few people have a basic understanding of AI concepts (such as using ChatGPT or other AI tools)

Several team members have practical AI experience and training (such as building custom AI models for your organization)

We have dedicated AI experts and widespread AI literacy throughout the organization

Most staff resist new technology and prefer traditional methods

Some openness to new tech but significant training required

Generally adaptable with proper training and support

Highly tech-savvy team and change management strategies that embraces innovation quickly

No formal training programs or external AI resources

Limited training budget and occasional external workshops

Regular training programs and partnerships with AI vendors

Comprehensive AI education program with internal and external experts

We haven't identified specific areas where AI could help

We have some general ideas for AI improvements but nothing concrete

We've identified several specific use cases with clear benefits

We have a comprehensive AI roadmap with prioritized use cases

We don't have metrics or success criteria defined

We have some general goals but no specific measurements

We have clear ROI targets and success metrics for each AI initiative

We have a comprehensive measurement framework with leading and lagging indicators

Ad-hoc decisions based on immediate needs

Structured evaluation based on impact and feasibility

Strategic prioritization aligned with business objectives and AI maturity

Strong resistance to change - prefer current processes

Some resistance but willing to consider changes with clear benefits

Generally open to change with proper communication and training

Change-ready culture that embraces innovation and continuous improvement

Avoid new technology unless absolutely necessary

Conservative approach - wait for others to prove success first

Measured implementation with pilot programs and gradual rollout

Early adopter approach with rapid implementation and iteration

Haven't addressed staff concerns about AI impact on jobs

Acknowledge concerns but haven't developed clear communication

AI Impact Index Assessment

Background Information

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