How soon does an AI project show ROI?

The first operational gains often appear as soon as the solution is in production (8 to 12 weeks); financial ROI builds up over 6 to 18 months depending on the scope.

How do you set a reliable baseline?

By measuring, before the project, the real time and cost of the target workflow: that is the purpose of the diagnostic.

What ROI should we expect from an AI project?

It depends on the workflow; be wary of generic "average" figures. The right question is not the market's average ROI, but the measurable gain on your workflow.

Do we need a big budget to start?

No: we start with a well-defined workflow, with proof of value before investing further.

The ROI of an AI project, measured before you start

The ROI of an AI project is measured by comparing a gain (time saved, costs avoided, margin recovered, capacity gained) with the cost of the project, but the key is to set a quantified baseline before starting, not to reconstruct it afterwards. This guide sets out the method, the formula and the pitfalls.

Why so many AI projects have no measurable ROI

According to MIT Project NANDA ("State of AI in Business 2025", July 2025), 95% of organisations get no measurable return from their generative AI pilots, despite $30 to 40 billion invested; only 5% capture significant value from them. Failure rarely comes from the technology: it comes from the lack of a baseline, the wrong choice of workflow and a lack of adoption. The lesson: ROI is decided at the scoping stage, not at the review.

The four value levers

Lever	What is measured	Example indicator
Lower costs	Temporary staff, subcontracting, rework avoided	Euros saved per month
Capacity without hiring	Volume handled with the same headcount	Files handled per person
Operational leakage	Errors, disputes, poor quality	Error rate, cost of rework
Commercial margin	Pricing, discount control	Margin points

The formula, simple to present

ROI is calculated as follows: the annual gain minus the total cost of ownership, all divided by the total cost of ownership. The annual gain adds up the levers above, quantified against the baseline. The total cost of ownership includes the build, hosting, maintenance, monitoring and change management, not just the initial development. A positive ratio in the first year on a well-sized workflow is a good sign; beyond that, it is the effect of scale.

Capture discipline, what makes the difference

Every Kolibro initiative includes, from the outset: a quantified baseline, a business owner, a success indicator. Without these, the gain remains a hunch. With them, it becomes a result you can present to a committee, and defend.

Pitfalls to avoid

Confusing the number of POCs with value; measuring after the fact; forgetting the cost of adoption (a tool nobody fills in is worth nothing); going for the most spectacular case rather than the most profitable one; leaving maintenance and monitoring out of the cost. That is the path from POC to production.

Frequently asked questions

How soon does an AI project show ROI?: The first operational gains often appear as soon as the solution is in production (8 to 12 weeks); financial ROI builds up over 6 to 18 months depending on the scope.
How do you set a reliable baseline?: By measuring, before the project, the real time and cost of the target workflow: that is the purpose of the diagnostic.
What ROI should we expect from an AI project?: It depends on the workflow; be wary of generic "average" figures. The right question is not the market's average ROI, but the measurable gain on your workflow.
Do we need a big budget to start?: No: we start with a well-defined workflow, with proof of value before investing further.

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Let's start with a single workflow

The entry point is simple, bounded, and you walk away with something useful either way.

You pick a workflow that costs you time or margin.

Within a few weeks, we diagnose it with your teams.

You leave with a costed plan and a first proof of value.