Know what your AI program is actually delivering.
Most organizations can't say whether their AI investment is paying off. This is the dashboard we set up for clients: adoption, hours saved against target, value against investment, every pilot by phase and decision gate, and governance health, in one view. Explore it with a sample organization.
Hours saved per month
Gross hours, measured against the baseline set before each pilot
Show data table
Cumulative value vs. investment
Realized value = hours redeployed to measurable work × loaded labor rate
Show data table
Adoption by team
Share of licensed staff using approved AI tools weekly
Hours saved by use case
Selected period
Pilot pipeline by phase
Every initiative moves through the six phases and two decision gates
Governance health
From the AI Tool & Agent Register and incident log
Sample assumptions: loaded labor rate $65 per hour; 55% of hours saved are redeployed to measurable work (realization rate); investment includes licenses, configuration, advisory fees, training and internal staff time. Figures are illustrative.
Get the AI Value Scorecard template
Get the AI Value Scorecard: the spreadsheet behind this dashboard, metric definitions, and a one-page leadership report you can reuse.
- Metric definitions, baselines and formulas for every measure on this page
- A spreadsheet template to track hours, adoption, value and pilots
- A one-page monthly report layout for leadership