Worked Example: Default Support Ticket Deflection ROI Scenario
Calculate Cost Per Human Support Ticket, monthly net dollar savings from AI agent / knowledge-base ticket deflection, and equivalent support agent FTE capacity freed.
- Enter parameters for Support Ticket Deflection ROI in the input controls.
- Apply formula: DeflectedTickets = MonthlyTickets × DeflectionRate%; NetSavings = DeflectedTickets × (HumanCostPerTicket − AiResolutionCost).
- Inspect the 3 interactive SVG charts and comparison table for sensitivity across input ranges.
Result: Produces instant Support Ticket Deflection ROI output with domain-verified units and sensitivity table.
Business & Marketing · Sales Operations & Revenue
Customer Support Ticket Cost, AI Self-Service Deflection Savings & FTE Calculator: inputs, method, and how to read the result
Calculate Cost Per Support Ticket and net savings from AI self-service deflection.
Choose inputs for the case you are checking
The defaults are illustrative. Replace them with values for your case and keep the units shown beside each field.
- Display Currency: Amounts are treated in the selected currency; no foreign-exchange conversion is applied.
- Monthly Inbound Tickets: Total monthly inbound customer support tickets/chats.
- Human Cost Per Ticket Usd: Average fully-loaded human agent cost per resolved ticket.
- Ai Self Service Deflection Pct: Percentage of tickets resolved autonomously by AI/self-service without human escalation.
What the calculation includes
With the default values shown, Monthly & Annual Deflection Savings is USD 53,694.00/mo (USD 644,328.00/yr). The calculation follows Support Ticket Deflection ROI Formula; the formula and variable definitions above show how the inputs combine.
One-input check: With the other defaults held constant, changing Monthly Inbound Tickets from 18,000 tickets/mo to 19,800 tickets/mo changes Monthly & Annual Deflection Savings from USD 53,694.00/mo (USD 644,328.00/yr) to USD 59,063.00/mo (USD 708,761.00/yr). This is a comparison inside the calculator's stated model, not a prediction.
Where to use caution
- Inputs are within standard operating ranges for the specified equation.
- Extreme boundary conditions may require specialized empirical adjustments.
Scope: Global Standard Check the assumptions and limitations against your situation before relying on the estimate.
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