Explore what MSP Process could save your team with AI automation on every channel your clients use. Adjust the model using 2026 industry benchmarks and the median across our 1000+ active accounts, with the assumptions explained below.
We model ~12% of inbound voice tickets handled automatically, including password resets, multifactor authentication resets and status checks, with after-hours work weighted 1.6× for overtime and on-call costs. We also model 4.5 hours saved per technician each week through voice-to-ticket dictation, queue routing and caller context that removes the “who am I talking to” cycle.
We model $12,400/client/year from insurance savings averaging 8% of a $24K policy, audit preparation time saved and breach-prevention value spread over time. For breach prevention, we use Verizon's Data Breach Investigations Report: $4.45M average breach cost ÷ 1-in-360 MSP-attributable rate.
We model 22 dispatcher hours/week recovered per 100 clients through ticket categorization, service-level agreement assignment and initial routing, scaling with your client count. We use a time-and-motion study across 6 MSP Process accounts, September 2025, as the source for this estimate.
We model 2 hours saved per technician per week across scheduling coordination, onsite visits, follow-ups, recurring maintenance windows and training sessions. Your technician sends a booking link, your client picks a slot and the calendar invitation follows, with savings scaling by technician count.
We model a 12% reduction in resolution time when SMS, Teams, Portal and email share context in your PSA (professional services automation) queue. We apply this to remaining tickets, using the Service Desk Institute 2025 benchmark as the source for the estimate.
We model 40% of your existing clients adopting white-labeled AI VoiceAssist within year 1, using the typical adoption rate for established MSP and small-business relationships. We count $1,678 per adopted client per month as new monthly recurring revenue after Growth tier wholesale cost, with existing revenue kept separate.
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Bring your client count, technician roster and recent ticket volume to a call. We'll put your numbers into the model together and build a business case you can take to your finance team.
We'll help you work through the assumptions.
