Analyze AI adoption patterns across teams and measure business outcomes. Turn usage data into actionable insights that drive better decisions and higher ROI.
Usage analytics and reporting goes beyond basic metrics to provide deeper insights into how AI tools are being adopted and used across your organization. It answers questions like: Which teams are power users? What tasks are being automated? Where are the bottlenecks?
Regular reports help stakeholders understand AI adoption trends, identify training needs, justify investments, and prioritize new initiatives based on actual usage patterns.
See which departments are embracing AI and which need more support or training.
Show leadership concrete data on tool usage, time savings, and business impact.
Spot users who are struggling with tools or not using them to full potential.
Use data to refine processes, optimize workflows, and expand successful use cases.
New users, active users, growth trends, and adoption rates by department.
Most-used features, peak usage times, session duration, and common workflows.
System uptime, response times, error rates, and quality metrics.
Total spend, cost per user, cost per transaction, and budget tracking.
Top users by activity, innovative use cases, and potential trainers or champions.
High-level KPIs, trends, wins, and recommendations for leadership.
No usage analytics. Reports created manually if at all. Limited understanding of adoption.
Basic reports generated monthly or quarterly. Some analysis of trends. Manual data gathering and formatting.
Automated reporting system with scheduled distribution. Comprehensive analytics covering adoption, usage, costs, and outcomes. Regular stakeholder reviews with data-driven recommendations.
Get expert help building analytics and reporting systems that drive better AI adoption and business outcomes.