PIPELINEGuide
Is AI consulting worth it for small businesses?
Not every business needs AI consulting. When it pays off, when it doesn't, and how to calculate that beforehand instead of finding out afterward.
Whether AI consulting is worth it comes down to a simple calculation: how often a process occurs, how long it takes, and what an hour costs at your business. Only when these numbers are available can you seriously say whether it pays off — we check this before every proposal.
01 — Fit
When it's worth it
- The process in question occurs at least weekly.
- It follows rules you can write down — even if there are exceptions.
- Today it's manual work that no one enjoys doing.
- There's one person who decides, not three who need to coordinate.
- You can name what would tell you it worked.
02 — Boundaries
When we advise against it
- The process is still changing. As long as you're adjusting the process itself, manual work is more flexible and cheaper.
- Exceptions outweigh standard cases. Then you're automating exceptions, and that gets expensive.
- There's no data foundation. Without digitally available source data, the basis is missing.
- Volume is too low. With five transactions a month, no system pays off — not even an affordable one.
- The real bottleneck lies elsewhere. If you don't have enough inquiries, you don't need faster processing.
03 — Calculation
How to calculate it
Four numbers are enough: How often does the process occur? How long does it take? What does an hour cost internally? And what does the solution cost — one-time plus operation over three years?
An example: A process that occurs twice a week and takes 40 minutes each time ties up around 69 hours per year. At an internal hourly rate of 45 euros, that's roughly 3,100 euros per year locked in there. If a solution reduces this effort by two-thirds, it often pays for itself — depending on the actual quote — within one to two years. We'll give you the exact figure for your case after the initial meeting.
This calculation is deliberately conservative: it only accounts for the time saved, not the errors avoided or the orders that come through due to faster response. In practice, the benefit is usually higher — but you shouldn't count on it before you've measured it.
04 — Classification
What experience shows
The most common reason for failed AI projects is not the technology, but a use case that misses the actual work.
05 — Questions
Frequently asked questions
How does this differ from consulting by the Chamber of Commerce?
The Chamber offerings provide a good overview of funding options and basics. We go a step further and look at your specific processes and systems — with effort estimates that we ourselves would have to meet.
Who should be at the workshop?
At least one person from management and two to three who do the affected processes daily. Without the second group, you get a list that doesn't work in practice.
Do we also get recommendations for providers other than you?
Yes, where it makes sense. Some use cases are better suited to standard software or a specialized provider — that's stated in the document, not hidden.
What does it cost us if nothing comes of it in the end?
Only the agreed price for the workshop and document — there's no success fee and no hidden follow-up obligation. The preliminary conversation is free and is meant to catch exactly these kinds of mismatched inquiries beforehand.
Isn't this just a disguised sales event?
The recommendation regularly includes items you can implement yourselves or with your existing service provider, as well as cases we advise against. The document is yours and works without us too.
Isn't a conversation with management enough?
No, that's the most common reason for a list that doesn't work later. The people who do the processes daily know the exceptions that an outside perspective never sees.
What funding is available in Austria?
Options include KMU.DIGITAL and aws digitalization funding — current terms at kmudigital.at and aws.at. Both require the application to be approved before awarding the contract — that's why we bring it up early and not at the end.
06 — Next
Related pages
- AI consulting — Overview
- AI consulting — common mistakes
- AI consulting — checklist
- AI consulting — Practical examples
- AI consulting — Funding
- AI consulting — Costs
- AI consulting — DIY
- AI consulting — introduction
- AI automation
- Process automation
- AI training
- All guides
AI consulting by region
Next step
We'll look at your starting position.
Tell us what's eating up time today. That becomes an assessment with effort and benefit — and only then an offer.