AI Agent ROI Calculator
Should you build an AI agent? Input your current process numbers and estimated investment to see projected savings, break-even month, and how many FTEs the agent can replace.
Your Current Process
Ticket resolution, FAQ answers, escalation routing
AI Agent Investment
How to Calculate AI Agent ROI
AI agent ROI is the ratio of labor savings generated by the agent versus the total cost of building and running it. The formula is:
ROI = (Total Labor Savings - Total Agent Cost) / Total Agent Cost × 100
For example, if your AI agent costs $30,000 to build plus $500/month to run, and it saves $8,000/month in labor costs, you break even in approximately 4 months and achieve over 150% ROI in the first year.
Typical ROI by Agent Type
- Customer Support Agents: 200-500% first-year ROI — automate 60-80% of tickets
- Sales Qualification Agents: 150-400% ROI — pre-qualify leads 24/7, book meetings automatically
- Data Processing Agents: 300-800% ROI — extract, validate, and route documents at scale
- AI Voice Agents: 200-600% ROI — handle inbound/outbound calls without human agents
- Research Agents: 150-350% ROI — synthesize data and generate reports in minutes
Key Factors That Affect AI Agent ROI
The biggest driver of ROI is task volume — the more repetitive tasks the agent handles, the faster it pays for itself. Other factors include automation rate (what percentage of tasks the agent can handle without human intervention), average time saved per task, and your current labor cost. Agents that run 24/7 often deliver higher ROI than expected because they eliminate overtime, night shifts, and weekend coverage costs.
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