Every AI vendor pitch includes a promise of savings. Fewer come with a way to actually calculate them before you sign anything. If you’re evaluating AI helpdesk automation for your PEO, here’s the framework to run the numbers yourself — with a worked example.
The basic formula
At its core, ROI on ticket automation comes down to:
(Cost of tickets deflected − cost of the automation) ÷ cost of the automation, measured over a set period (usually annualized).
To calculate the cost of tickets deflected, you need three numbers: your current ticket volume, your fully-loaded cost per ticket (labor time × hourly cost), and your realistic deflection rate — the share of tickets automation can actually resolve without escalation.
A worked example (illustrative, not a real client result)
Say a mid-market PEO handles 8,000 benefits/PTO/paycheck tickets a month, at an average fully-loaded cost of $12 per ticket (a blend of agent time and overhead). That’s $96,000 a month, or roughly $1.15M a year, just in the labor cost of answering these questions.
If a well-scoped automation layer deflects a conservative 30% of that volume — the questions that are genuinely repetitive and low-risk to automate — that’s roughly $345,000 a year in avoided labor cost. Against an implementation in the tens of thousands and a modest ongoing retainer, the payback period is typically a matter of months, not years.
These numbers are illustrative. Your actual ticket volume, cost per ticket, and realistic deflection rate will be specific to your systems and client mix — which is exactly what a proper assessment is for.
What the math usually misses
Hard cost savings are only part of the picture. Faster response times affect client retention and renewal decisions. Freeing your service team from repetitive volume lets them spend more time on the escalations and relationship work that actually differentiate your service. Neither shows up cleanly in a spreadsheet, but both matter to the actual decision.
On the other side, common mistakes inflate the projected ROI: assuming close to 100% deflection (unrealistic for any PEO with real client-specific complexity), ignoring the ongoing cost of monitoring and retraining the system, and not accounting for the tickets that will always need a person no matter how good the automation gets.
Getting your real numbers
Our AI Helpdesk Readiness Assessment runs this exact calculation against your actual ticket data — not a hypothetical — so you have a real number before deciding on anything larger.
Leave a Reply