Why Dashboards Matter
Why Measuring AI Performance Matters
You've invested in artificial intelligence for your organization. Now comes the hard part: proving it's actually working. Many government agencies and organizations struggle to demonstrate concrete results from their AI programs. Research from Stanford University and MIT found that AI-powered tools can boost worker productivity by 14% on average, with some employees experiencing productivity gains as high as 35% (Brynjolfsson et al., 2023). However, these gains only become visible when you track the right metrics from day one.
Real Results from Leading Organizations
The numbers from credible research institutions tell a compelling story. According to a 2024 IDC study, companies are seeing significant returns, with every dollar invested in generative AI yielding a 3.7x return across different industries (Devoteam, 2024). Financial services organizations are leading in ROI performance, followed by media and telecommunications sectors.
Research from Stanford's Digital Economy Lab demonstrates that AI assistance particularly benefits less experienced workers, who can resolve customer issues 35% faster when using AI tools compared to working without them (Brynjolfsson et al., 2023). In some cases, employees with just two months of experience using AI performed as well as those with over six months of experience working without AI support.
What Should You Be Measuring?
UC Berkeley researchers emphasize that traditional ROI calculations often miss AI's true value (Berkeley Executive Education, 2024). The key is tracking both hard numbers and capability enhancements:
Time savings on routine tasks – How much faster are permits processed? How quickly can staff respond to citizen inquiries?
Cost reductions – What administrative work has been automated? Where have labor costs decreased?
Quality improvements – Are there fewer errors in data entry and analysis? Has decision accuracy improved?
Productivity gains – Can employees handle more volume in the same timeframe? Are they focusing on higher-value strategic work?
Research shows that productivity-focused applications, particularly those enhancing individual employee efficiency and reducing task completion times, deliver the highest ROI among all AI use cases (Devoteam, 2024).
Building Dashboards That Tell Your Story
Industry experts at PwC emphasize that successful AI measurement requires mapping out both hard and soft aspects of investments from the beginning (PwC, 2024). Custom dashboards transform raw data into compelling narratives that justify continued funding. When leadership can view real-time metrics showing AI performance, budget conversations become evidence-based rather than speculative.
According to Data Society research, organizations typically need 12-24 months of data to accurately measure AI training effectiveness and productivity improvements (Data Society, 2024). This underscores the importance of establishing baseline metrics before implementation and tracking progress consistently over time.
Ready to Prove Your AI's Worth?
At Intelligence Powered Solutions, we help government agencies measure what matters. We don't just implement AI—we build the custom analytics tools you need to track performance, justify budgets, and scale your success. Our approach combines proven vendor AI tools with performance quantification systems that demonstrate real value to stakeholders.
Contact us today to learn how we can help you quantify your AI investment and demonstrate measurable impact to decision-makers.
