What could an agent save your team?
How many calls and chats your team handles in a month.
Average handling time, including after-call work.
Items the agent finishes without a person doing the work.
Minutes a person still spends checking the agent's work.
Salary, benefits and overhead for the people doing the work.
The starting values are examples, not benchmarks. Replace each one with your own numbers.
How the estimate works
- Hours today
- Monthly volume multiplied by the minutes each item takes, divided by 60.
- Hours saved
- The items the agent completes, multiplied by the minutes saved on each one: handling time minus review time.
- Cost saved
- Hours saved multiplied by your loaded hourly cost, over twelve months.
- Full-time equivalents
- Hours saved in a year divided by 1,760 working hours.
Questions and answers
Where do the starting values come from?
They are examples so the form is never empty, not benchmarks. Replace them with your own volumes, handling times and costs for a meaningful estimate.
What does the estimate leave out?
Platform and implementation costs, faster resolution for customers, fewer errors and after-hours coverage. It counts staff time only: the costs it leaves out would lower the net figure and the benefits would raise it, so check it against your own numbers.
How do we check the automation rate?
Run a bootcamp: our engineers build an agent on your data and measure how many real cases it completes against success criteria agreed up front.
Turn the estimate into a business case.
Our engineers will check your assumptions against a working agent on your data.