Free tool · Simulator
AI agent ROI calculator
Enter your numbers and see when an AI chatbot starts paying off — and when it does not. It runs in your browser; nothing is sent anywhere.
Your situation
Change anything — the result updates live.
Coming soon: instead of guessing, you will plug in real benchmarks from our FlashAI deployments — median uplift per industry.
Estimated result
A simulation on your assumptions — not a guarantee.
How we calculate: extra leads = current leads × uplift. Extra clients = extra leads × close rate. Net gain = extra clients × client value − subscription. Break-even is the month when cumulative gain covers the implementation cost. More on pricing and payback: AI agent implementation cost.
FAQ
How do you calculate ROI on an AI agent?
Compare the number of form leads with the full conversions (e.g. booked meetings) the AI agent generated in the same period. Your gain is extra clients times your average client value, minus the subscription. Break-even is the month when cumulative gain covers the implementation cost — typically after 2–3 months.
Where does the “lead uplift” number come from?
It is the one assumption you cannot read from your current data — hence the slider. The uplift comes from three things: replies outside business hours, instant response (instead of a form and silence) and pre-qualification. Start with a conservative 15–25% and check whether the numbers still add up under that cautious assumption.
Is the calculator result a guarantee?
No. It is a simulation on your assumptions — it shows at which numbers an implementation makes economic sense and at which it does not. Treat it as a conversation tool, not a promise. We are happy to run the scenario on your real data.
What if my traffic is low?
Then an AI agent rarely pays for itself on lead volume alone — and the calculator will show it (a long payback period). With low traffic it is wiser to start with visibility and content, and add the agent once there is someone to serve. We say this plainly instead of pushing an implementation.
Let's run it on your real data
We will show a scenario on your traffic and your industry — with an honest answer on whether an implementation makes sense now or should wait.
Talk to us about it