Cost - AI automation

What Sets the Cost of AI Automation in 2026

AI automation costs three things: a one-time build, a monthly bill to run it, and maintenance every year after. We don't publish a price list. Two briefs that sound the same on a call can end up 3x apart once someone counts the integrations, so a number given before anyone has read the system is a guess. This page covers what moves each bill and how to test a quote before you sign.

Digiton runs production agents and automations across 8 countries, and the spread between quotes is wide for a reason. Two chatbot briefs that sound identical on a call can end up 3x apart in price once someone counts the integrations.

What actually moves the price

Six drivers explain most of the spread.

Model choice is the quiet one. Pick the wrong model for a high-volume task and monthly spend moves by 5x to 20x. Good monitoring pulls it back down, cutting running costs 30 to 60 percent without hurting output quality. Maintenance is the line everyone forgets. Plan 10 to 20 percent of the build cost per year, every year, or watch the agent rot.

Why there is no price list here

We don't publish prices. A number quoted before anyone has read your system misses the integrations nobody mentioned on the call, and those are where the 3x spread comes from. We price per outcome after a scoping call and a production review. Fixed scope, tied to a result. Hourly billing rewards slow work, so we dropped it.

The production review ends with a fix list that has a cost against every item, and the build is quoted from that list. That quote is the number to test against the arithmetic below.

Monthly running costs: the second bill

The build is a one-time hit. Running costs compound. They pay for model API usage, hosting, monitoring and maintenance, and they grow with volume. A chatty customer-facing agent handling thousands of conversations a month can spend more on model tokens than a quiet internal agent costs to build. Ask for the monthly figure in writing, next to the build price.

Payback follows the same gradient. The bigger the system, the longer the wait.

Build or subscribe

Timelines set the frame. A simple single-task agent ships in one to three weeks. Mid-complexity builds with integrations take four to ten weeks. Complex systems run three months or more. Every one of those weeks is money.

Our own product Parci makes the comparison concrete. Parci prices at 29, 149 and 499 euros a month across three tiers, so the top tier costs 5,988 euros a year. A custom platform that does the same job carries a build bill first and then a running bill of its own every month after launch. Parci generates a full report covering 300 of 308 Portuguese municipalities in 47 seconds. Rebuilding that for one firm makes no financial sense. None.

The rule is short. Subscribe when a vertical product already solves the problem. Build when the workflow is genuinely yours and no product covers it.

Testing a quote against ROI

Our ROI guide uses one formula: ROI = (net benefit - total cost) / total cost x 100.

Run it on the quote in front of you. Add the build to twelve months of running cost, and that is year one. To hit 100 percent ROI inside twelve months, the agent has to return twice that figure. Divide the doubled figure by twelve and you have the monthly return the workflow must clear.

Payback works the same way. Our guideline for a well-scoped automation is 3 to 9 months. Take the build plus nine months of running cost and divide by nine: that is what the agent must return each month to break even inside the guideline. Price the saved hours at loaded cost, meaning salary plus overhead, usually 1.25 to 1.4x base pay. If the saved hours cannot clear that monthly figure, the project fails before it starts.

Measurement is the part most buyers skip. Capture a baseline for at least two to four weeks before you deploy, then track the same metrics for 60 to 90 days after go-live so the comparison runs against recorded data instead of somebody's memory of how slow things used to be. Recalculate quarterly. A small business should require payback under 12 months, full stop.

When not to automate

Five situations where the honest answer is no.

The process will not sit still. A baseline needs two to four weeks of stable data. If the workflow changes every month, there is nothing to measure against and no way to prove the agent earned its keep.

The volume is too low. An agent that has to earn back its build and nine months of running cost by month nine has no path there on a task that barely occupies anyone. Low volume kills ROI faster than any technical failure.

Payback lands past 12 months. Our small-business guideline is firm. Under 12 months or do not sign. A multi-agent platform pays back slower, which makes it a bet for companies that can carry the wait.

A product already covers it. Paying for a custom build to replace something sold at 149 euros a month is a decision nobody defends in year two. Check the vertical tools first.

Nobody owns maintenance. The recurring bill runs 10 to 20 percent of the build cost per year. No owner, no budget, no build.

The cheapest next step costs nothing. Start with a free 25-minute scoping call. If it fits, the first paid step is a production review: five working days on your real repository, scored against ten layers, with a costed fix list. The build is quoted from that list, so you test payback against your own number before you spend a single euro on the build.

If the automation in question is workflow plumbing rather than an agent, the self-hosting arithmetic sits in self-hosted Zapier alternatives and what each costs to run.

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