How does this AI chatbot ROI calculator work?

It estimates support capacity by multiplying the conversations you expect a chatbot to resolve by average handling time and your fully loaded hourly support cost. It then subtracts your estimated monthly platform cost.

Is the calculator's result a guarantee?

No. The result is a planning estimate based on your own assumptions. Actual performance depends on content quality, question mix, chatbot configuration, traffic, and human handoff processes.

Free planning tool

Estimate your website chatbot ROI

Use your current support workload to model the capacity an AI chatbot could free up. The formula is transparent, adjustable, and deliberately conservative.

Your assumptions

Model one month of support work

Use your own baseline. This is a planning estimate, not a promise of results.

Monthly support conversations800Chats, emails, forms, or tickets that contain a question a chatbot could potentially help answer.Average handling time7 minInclude the time a person spends reading, answering, and finding the relevant information.Fully loaded hourly support cost$28Use wages plus benefits, management, and overhead if you have that figure.Questions resolved without a person35%Start conservatively. This depends on source quality, question mix, and your handoff rules.Monthly chatbot cost$49Enter the plan and usage cost you expect after any trial or free allowance.

Estimated capacity

What the assumptions suggest

$866estimated monthly support value after platform cost

280conversations handled without a person

32.7support hours potentially freed each month

$915estimated monthly support capacity value

$10,388estimated annual value after platform cost

Formulaautomated conversations × handling time ÷ 60 × hourly cost − platform cost

How to use this estimate responsibly

Start with a small, well-documented use case: repetitive questions that have approved answers. Set the automation rate lower than your best-case scenario, then compare the estimate with real conversations after launch.

The most useful result is often capacity, not a claimed saving. Time freed from repeated questions can go into complex cases, quality reviews, and proactive customer work.

What improves the result

Current, complete source content with clear ownership.
A tested path to a person when the chatbot should not answer.
Regular review of unanswered questions and feedback.
Clear reporting for conversations, handoffs, and leads.

Launch with a real baseline

Before adding a widget, collect a sample of real support questions and measure handling time. Then test answers against the approved source. Our website chatbot buyer’s guide has a practical evaluation checklist.

Try it with your own content

EmbedMyBot lets you train a chatbot on your website and documents, review its behavior, and add it to your site with an embed script. Learn more about training on your own data or create a free account.