Measuring the ROI of an AI Project
AI projects can be exciting, but they must still pay their way. Measuring return on investment keeps everyone honest and helps you decide whether to expand or stop.
This article explains how to put real numbers around an AI initiative.
Counting the Costs
- Build and integration time.
- Ongoing running costs such as usage fees.
- Human review and oversight effort.
- Maintenance as needs and data change.
Counting the Benefits
Benefits include staff hours saved, errors avoided, faster turnaround and extra revenue. Put a cash figure on each where you can, and note softer gains such as customer satisfaction separately.
A Simple Approach
- Set a baseline before you start.
- Run a small pilot and measure the change.
- Compare benefit against total cost.
- Scale only if the numbers clearly stack up.
Frequently Asked Questions
How soon should AI pay back?
It varies, but if a pilot shows no measurable benefit within a few months, it is usually wise to rethink the approach.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.