Contact Center AI Transformation, ROI Calculator
Input your contact center's numbers and select the workflows you'd automate. See the projected dollar impact.
See what's actually automatable at your facility.
These numbers are estimates based on your selections. The real picture comes from auditing your actual calls. We'll show you exactly which call types are candidates for automation, and which should stay with your team. If you don't know your exact metrics, we'll help you figure them out.
Book an AuditHow this calculator works
This is a simplified directional model. Actual savings depend on your call mix, complexity distribution, and current workflows.
- Each selected workflow contributes a percentage of total call volume that can be automated (typically 8 to 18% per workflow).
- Total call hours per year = monthly calls × average handle time × 12.
- AI-handled hours = total call hours × combined automation rate.
- Cost per hour is derived from a $70K fully-loaded cost per staff member ÷ their annual call hours.
- Annual savings = AI-handled hours × cost per hour.
- Operational projections (wait time, voicemail, FCR) are based on typical improvements observed after AI deployment.
How is contact center ROI calculated?
Short answers to the questions behind the model. The estimate is directional; a call-sample audit produces the numbers that hold up.
The calculator multiplies your monthly call volume by average handle time to get total annual call hours, applies an automation rate derived from the workflows you select, and multiplies the automated hours by a per-hour labor cost drawn from a fully loaded staffing figure. The result is projected annual savings plus staff hours returned to higher-value work.
Common candidates include patient intake, scheduling and reminders, status and callback requests, insurance eligibility verification through 270/271 transactions, and billing questions. Calls that need clinical judgment or complex dispute handling stay with your team. An audit of a real call sample separates the two.
The model is directional and does not assume a specific system. In a live deployment the agent works alongside EHRs such as Epic, Cerner, or athenahealth and reaches payers including Medicare, Medicaid, and commercial plans through eligibility (270/271) and claim status (276/277) transactions. Integration scope affects how much of the estimated automation is reachable.