AI Productivity Is Difficult to Prove Without Measurement
Teams adopt AI to work faster and reduce manual effort, but productivity gains are often assumed rather than measured. Without reliable data, leaders cannot tell which AI use cases actually improve workflows or where time savings are real. This makes it difficult to prioritize AI investments or scale successful initiatives.
AI Activity and Workflow Performance Live in Different Systems
AI tools capture usage and prompts, while operational systems track throughput, cycle time, and delivery metrics. These signals are rarely connected. Teams rely on self-reported time savings or isolated dashboards, leaving leaders without a consistent view of how AI affects productivity end to end.
Unmeasured AI Productivity Slows Execution and Scaling
When productivity impact is unclear, inefficient workflows persist and high-value AI use cases are missed. Time savings cannot be validated, and teams struggle to justify further investment. Over time, this uncertainty limits confidence in AI adoption and slows organizational execution.
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What You’ll Gain With TargetBoard
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Measurable Time Savings
Understand how much time AI actually saves across teams, roles, and workflows.
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More Efficient Execution
Spot inefficiencies early and focus AI investment where it improves throughput, cycle time.
Confident AI Investment Decisions
Move from assumptions to measurable improvements you can validate and scale.
How TargetBoard Brings Clarity to AI Productivity Measurement
TargetBoard connects AI usage data with workflow and execution metrics to give leaders a reliable view of how AI affects productivity, throughput, and efficiency across teams.
Connects Your Systems
Integrates all AI and cross-department tools, workflow, and operational systems to create one view of AI-assisted work.
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Tracks Productivity Trends
Measures changes in cycle time, throughput, and time saved across AI-assisted workflows.
Highlights Workflow Impact
Shows where AI reduces manual effort, improves execution speed, and where friction still remains.
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Explore AI Adoption KPIs
Discover how TargetBoard helps leaders connect AI usage, productivity, quality, and cost metrics into one reliable view, improving visibility, decision-making, and execution across teams.
✨ Top New Insights
% Closed Dev-Items (Last 30d)
Team FrEM's % Closed Dev-Items increased from 12% to 6%, a 50% improvement.
Oct 11- Nov 9, 2025 vs.
Oct 11- Nov 9, 2025 vs.
Significant improvement indicates enhanced team efficiency and productivity.
✨ Top New Insights
% Closed Dev-Items (Last 30d)
Team FrEM's % Closed Dev-Items increased from 8% to 26%, a 225% improvement.
Oct 11- Nov 9, 2025 vs.
Oct 11- Nov 9, 2025 vs.
Significant improvement indicates enhanced team efficiency and productivity.
Optimize AI Investment Impact
TargetBoard gives leaders a unified view of how AI usage translates into productivity gains and business outcomes. By connecting AI assistants, workflow platforms, and operational systems, it measures efficiency, impact, and return, helping teams invest in AI with confidence.
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