AI Readiness Assessment

Evaluate how ready your team is to operationalize knowledge with AI.

Answer 10 practical questions across knowledge management, content operations, automation, documentation, data quality, analytics, AI readiness, and team productivity.

Score each area as No, Partially, or Yes. Your results stay in browser state only and are not saved.

Knowledge Management

1. Critical business knowledge is documented, owned, and easy for teams to find.

Documentation

2. Key business rules and process exceptions are captured outside of individual employees' memory.

Process Automation

3. High-volume manual workflows have been reviewed for automation opportunities.

Organizational Productivity

4. Teams have clear handoffs, responsibilities, and escalation paths for recurring operational work.

Data Quality

5. Important business data is accurate, consistent, and trusted across core reports and systems.

Analytics

6. Leadership has access to useful metrics that connect activity, performance, and business outcomes.

Process Automation

7. Core systems and spreadsheets are connected enough to reduce duplicate data entry and reconciliation.

AI Readiness

8. The organization has identified practical AI use cases tied to measurable business value.

AI Readiness

9. There are clear guidelines for responsible AI usage, data handling, and human review.

Organizational Productivity

10. Teams have the time, training, and leadership support needed to adopt new AI-enabled ways of working.