Leaders need concrete measures to justify AI investments and pivot quickly when initiatives underperform. Tracking these five metrics will ensure you’re capturing both hard and soft benefits:
Return on Investment (ROI)
Calculate net gains (revenue uplift plus cost avoidance) divided by total AI automation spend. This fundamental metric shows whether your project delivers positive financial returns.Time to Value (TTV)
Measures how long it takes from project kickoff to the point when AI systems begin generating measurable benefits. McKinsey finds that organizations redesigning workflows around GenAI reduce TTV by up to 30%.Cost Savings
Quantify reductions in labor expenses and error-related rework. According to Forbes, automating repetitive tasks can eliminate up to 90% of manual errors and cut associated costs by 50–70%.Productivity Gain
Track the uplift in output per employee post-automation. HubSpot reports that 80% of users saw productivity improvements after deploying automation tools—translating directly into increased throughput.Customer Satisfaction Improvement
Even internal-facing automations impact customers. Use CSAT or NPS to detect improvements in service quality—Intercom data shows CSAT scores rise by an average of 0.2 points for every 10% increase in automated resolution rate.
Ready to establish a robust ROI framework? BuildStack can help you define, track, and optimize these metrics for maximum impact.
