What gets measured gets managed. Track your progress toward becoming an Intelligent Organization with metrics that matter.
Measuring AI transformation requires balancing leading and lagging indicators, quantitative and qualitative metrics, and short-term wins with long-term capability building.
Revenue growth, cost reduction, and competitive advantage
Progress across the four pillars and transformation stages
Adoption, engagement, and organizational readiness
% of employees who can articulate the AI vision and strategy
Time executives spend on AI initiatives and governance
% of AI budget aligned to strategic priorities
Completeness and effectiveness of AI governance framework
% of employees actively using AI tools in daily work
% of workforce completing AI literacy training
Employee confidence in experimenting with AI
% of roles redesigned for human-AI partnership
Active users and usage frequency of AI platforms
Completeness, accuracy, and accessibility of data
% of systems integrated with AI capabilities
Audit results and compliance with governance policies
Number of AI experiments launched per quarter
% of projects with documented learnings and best practices
Cross-team collaboration and insight dissemination
Time from insight to implementation
Weekly
Platform usage, adoption rates, experiment velocity
Monthly
Capability maturity, training completion, pilot results
Quarterly
Business impact, ROI, strategic alignment, culture surveys
Assess your organization's maturity across the four transformation stages to identify current state and next steps.
Running pilots, building capabilities
Connecting systems, standardizing
Expanding across organization
Continuous improvement, innovation