Solutions AI
AI in an SME: where to start
We often hear "what can AI do for us?" The better question is different: which process costs you full days, every month, for no good reason?
Start from the process, not the technology
Do not start from the technology. Starting from AI and asking where to apply it almost always produces a project that goes looking for a problem, and ends as a tool nobody uses after the demo. Start instead from the process that costs you the most time: the one someone on your team dreads every week, the one that takes a full day when it should take an hour. That is the process to examine first the technology comes second, only if it turns out to be genuinely useful for actually solving it.
Three signs a process is ready
Three signs show that a process is ready to be improved. First, it is repetitive: the same task comes back every day or every week, in a nearly identical form, with little variation. Second, it is governed by rules you could explain to someone even if those rules are numerous and sometimes unwritten. Third, the data already exists somewhere in your business: in emails, photos, spreadsheets, or line-of-business software, even if it is not yet put to use. A process that checks all three boxes is a strong candidate for improvement.
Where AI pays off today
Here is where AI pays off today in an SME. Document processing invoices, forms, contracts to extract information without re-entry. Visual detection and classification, for instance automatically spotting openings on facade photos before carrying them into a quote, as we did for an exterior wall insulation contractor you can read that case study in full. And assistants grounded in your own data, able to answer precise questions about your records instead of guessing generic answers.
Where it is useless
Here is where it is useless, and we say so plainly. AI does not replace professional judgment on a decision that carries real consequences: it prepares the ground, it does not decide for you. And it does not measure in place of the measuring tool: in our field-quoting work, the guiding principle stayed "the AI locates, the contractor measures." Computer vision spots and proposes; the measuring instrument remains the sole authority on the numbers. Confusing the two produces tools that look impressive in a demo and fail once they meet the realities of a real job site.
Our method
Our method holds to four steps, the same for every engagement. The assessment maps your processes and identifies the ones that cost the most, with an honest estimate of the expected gain. The prototype builds a working proof of concept on your real data, in a matter of days, so you judge results rather than a slide deck. Integration ships the solution into production, secure and connected to the tools your team already uses. Enablement trains your people and hands over documentation, leaving you the owner of the result, with no dependence on us going forward.
Frequently asked questions
Where should an SME start with AI?
Not with the technology. Start from the process that costs you the most time the one that takes a full day when it should take an hour. The technology comes second, only if it turns out to be genuinely useful for solving it.
How do you know if a process is ready for AI?
Three signs: it is repetitive (the same task comes back every week), it is governed by rules you could explain to someone, and the data already exists somewhere in the business emails, photos, spreadsheets, or line-of-business software.
Where does AI actually pay off today in an SME?
In document processing (invoices, forms, contracts) to extract information without re-entry, in visual detection for instance spotting openings on facade photos and in assistants grounded in a company's own data instead of generic answers.
Ready to move on AI, without the risk?
Let's talk about the process that costs you the most time. The first assessment call is free.
hello@progfactory.com