7 July 2026
Automation has a marketing problem: people picture a grand AI programme, when the safest gains are disarmingly mundane. A simple rule for spotting good candidates: a repetitive, frequent task, with stable rules, requiring no judgement. Five cases come up constantly in SMEs. Here they are, with what they return.
1. Monthly reporting consolidation
The symptom: at the start of every month, someone spends one to three days extracting data from several tools, pasting it into Excel, fixing formats and laying it out. The report lands on the 10th, when the month's decisions have already been made.
Automated, the same report builds itself, daily if needed. The gain is not just the time recovered. The real change is that decisions stop waiting.
2. Re-keying between two tools
The quote signed in the CRM is re-keyed into invoicing. The order is re-keyed into the management tool. Each re-entry costs a few minutes, and introduces the errors that will cost far more to track down later.
Connecting two tools that ignore each other is rarely a big project. It is often the best effort-to-gain ratio on this whole list.
3. Chasing unpaid invoices
The symptom: reminders go out when someone thinks of it. Which means late, and sometimes never. An automated sequence is thoroughly boring: reminder before due date, follow-up at day 7, escalation at day 30. It is also the automation with the most direct impact on cash, the lifeblood of any SME.
4. Data quality controls
An order without a client code, a zero price, a duplicated reference: these anomalies slip in silently and surface weeks later, in a wrong report or a blocked invoice. Automated checks that scan the data every night and alert the right person cost little, and save hours of "where does this gap come from?". If that sounds familiar, we devoted a whole article to it.
5. Generating recurring documents
Contracts, agreements, intervention reports, certificates: wherever a document repeats the same information in the same template, generation can be automated from existing data. No more contracts under the wrong name because they were copied from another client's file.
How to choose the first one
Resist the urge to do everything. Take the task that ticks three boxes: frequent (at least weekly), time-consuming (at least an hour each time), stable (the rule has not changed in a year). Automate it end to end, measure, then move to the next.
Two classic traps to finish. Automating a broken process, first: automation freezes it instead of fixing it. Building a black box, second, that only its author understands. Require every automation to be documented, monitored, and to report its own failures. An automation that fails silently is worse than the manual task it replaced.