AI Change Management Assessment

About this Assessment. This dashboard summarizes the Denver Foundation's AI Change Management Assessment, a guided self-review of readiness to adopt AI thoughtfully and responsibly. The assessment evaluates seven interrelated domains (Governance, Talent, Strategy, Data, Workflows, Technology, and Evaluation) to identify where the foundation is well-positioned, where the gaps sit, and where small early investments can build capabilities. It is not intended as a grade but as a map: a way to ground decisions about AI strategy, sequencing, and investment and to give leadership a common language for the work ahead.

Assessment Methodology. The underlying review is a 38-question self-assessment completed individually in May 2026 by Brian Van Vleet (Sr. Director of IT) and Damir Kocer (Operational Excellence Analyst). Each sub-area is scored 1 (Nascent) through 5 (Pioneering) against a maturity rubric drawn from the latest published best practices in AI governance and strategy, where 1 reflects an emerging practice and 5 reflects a deeply embedded and advanced one. The sub-area scores displayed are the average of Brian and Damir's assigned scores (the drill-down notes their individual scores). Domain averages are the mean of their sub-area scores, and the overall score is the average of the seven domain scores. Scores, capability ratings, level names, and interpretive language come directly from the assessment's scoring guidance and "tips for moving forward." For the full findings and recommendations, refer to the seven domain reports that the assessment takers from the foundation received upon submitting their responses.