How accurate is an AI ROI calculator?

It's directional, not a guarantee. The calculator gives you an order-of-magnitude read on whether a workflow is worth investigating. It deliberately uses conservative assumptions because most ROI models overstate gains by ignoring exceptions, oversight, and adoption ramp.

What costs should I include for an AI workflow?

Build cost (engineering or vendor fees), ongoing model/API and infrastructure cost, and the human time still needed for oversight and exception handling. This tool focuses on the time-savings side; the build cost is where a diagnostic adds precision.

Which tasks have the best AI automation ROI?

High-volume, rules-light, repetitive tasks with a clear correct output — data entry, classification, first-draft generation, routing. Low-volume or high-judgment work usually has poor ROI and is better left to people.

ROI Calculator

Estimate your automation savings

See how much time and money you could save by automating repetitive tasks.

How to use it.

1. Describe the task you'd automate

Pick a single, repetitive workflow — invoice coding, lead qualification, ticket triage. The tighter the task, the more reliable the estimate. Vague, judgment-heavy work is exactly what you should not model here.

2. Enter your real numbers

How many minutes does the task take today, how often does it run per month, and what's the fully-loaded cost of the person doing it? Use honest current-state figures, not best-case ones.

3. Read the three outputs

We return hours reclaimed per month, the euro value of that time, and a payback period against a typical build cost. The model deliberately discounts gains — real workflows have exceptions, oversight, and ramp time.

4. Pressure-test it

A green number on a calculator is a hypothesis, not a business case. If the payback looks compelling, the next step is checking it against your actual data, edge cases, and adoption reality — that's what the diagnostic does.

Frequently asked questions.

How accurate is an AI ROI calculator?: It's directional, not a guarantee. The calculator gives you an order-of-magnitude read on whether a workflow is worth investigating. It deliberately uses conservative assumptions because most ROI models overstate gains by ignoring exceptions, oversight, and adoption ramp.
What costs should I include for an AI workflow?: Build cost (engineering or vendor fees), ongoing model/API and infrastructure cost, and the human time still needed for oversight and exception handling. This tool focuses on the time-savings side; the build cost is where a diagnostic adds precision.
Which tasks have the best AI automation ROI?: High-volume, rules-light, repetitive tasks with a clear correct output — data entry, classification, first-draft generation, routing. Low-volume or high-judgment work usually has poor ROI and is better left to people.