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AI Readiness Assessment

Evaluate your organization's readiness for AI implementation across key areas including data, technology, skills, and culture.

1. Data Infrastructure & Quality

Limited data collection, poor quality, mostly manual processes Some digital data, inconsistent quality, basic databases Good data collection, moderate quality, some integration Excellent data infrastructure, high quality, well-integrated systems

2. Technical Infrastructure

Legacy systems, limited cloud adoption, minimal automation Mix of legacy and modern systems, some cloud services Modern infrastructure, cloud-ready, good integration capabilities Advanced cloud-native infrastructure, APIs, microservices architecture

3. AI/ML Skills & Expertise

No AI/ML expertise, limited technical skills Basic understanding, some technical staff, external consulting needed Good technical team, some AI/ML experience, active learning Strong AI/ML capabilities, data scientists, proven track record

4. Organizational Culture & Change Management

Resistant to change, traditional processes, limited innovation Cautious about change, some willingness to innovate Open to change, encourages innovation, good collaboration Innovation-driven culture, embraces change, excellent collaboration

5. Budget & Resource Allocation

Very limited budget for technology initiatives Modest budget, requires strong ROI justification Adequate budget for strategic technology investments Strong budget commitment to AI and digital transformation

6. Strategic Alignment & Leadership

No clear AI strategy, limited leadership support Some interest from leadership, early strategy discussions Clear AI strategy, strong leadership support, defined goals AI is core to business strategy, executive champion, clear roadmap

AI Readiness Score

Bridging IT and Operations with custom AI solutions.

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