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How to Calculate the ROI of AI Automation

A practical framework for measuring the return on investment from AI automation projects. Includes metrics, formulas, and real examples.

How to Calculate the ROI of AI Automation

Understanding the return on investment (ROI) of AI automation is crucial for making informed business decisions. This guide provides a practical framework for measuring and maximizing your automation investments.

The ROI Formula for AI Automation

The basic formula for calculating AI automation ROI is:

ROI = (Net Benefits - Total Costs) / Total Costs × 100

But the real challenge lies in accurately identifying all benefits and costs.

Key Metrics to Track

Time Savings

  • Hours saved per task
  • Tasks automated per month
  • Employee time redirected to high-value work

Cost Reduction

  • Labor cost savings
  • Error reduction costs
  • Processing speed improvements

Revenue Impact

  • Increased sales velocity
  • Customer satisfaction improvements
  • Market expansion capabilities

Real-World Example

A mid-size company implemented AI agents for customer support:

  • Before: 10 support agents handling 500 tickets/day
  • After: 3 agents + AI handling 1,200 tickets/day
  • Time Savings: 70% reduction in average resolution time
  • Cost Savings: $420,000 annually
  • Implementation Cost: $80,000
  • ROI: 425% in Year 1

Start Your ROI Analysis

Contact our team for a complimentary ROI assessment of your automation opportunities.

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