Follow-ups and invoicing
Unpaid invoices, quiet quotes and unconfirmed appointments chase themselves — at the right moment, in the right tone.
- Staged invoice reminders
- Automatic quote follow-ups
- Appointment confirmations by email or SMS
Artificial intelligence consulting and automation
We find the repetitive manual tasks eating up your team's time, and we make them disappear. Follow-ups, data entry, reports, reminders: we start by studying what is feasible in your situation, then we build.
Beside this text: the mechanics of an automation, from trigger to action.
The problem
Chasing invoices. Retyping numbers from a PDF into Excel. Rebuilding Monday's report. Confirming appointments one by one. These are rarely hard tasks: they're tasks that never stop, and they keep your team from the real work.
A task repeated three hours a week is more than 150 hours a year — a full month of work spent on something a system would run without a single mistake.
The cost isn't only hours: missed follow-ups become late payments, typos become accounting corrections, and a late report becomes a decision made blind.
These five questions decide whether a task is worth automating. We answer them during our analysis, not in a sales pitch.
What we automate
Unpaid invoices, quiet quotes and unconfirmed appointments chase themselves — at the right moment, in the right tone.
What arrives as a PDF, a form or a photo is read, structured and filed where it belongs, with no manual retyping. Where exactly is settled during the analysis.
The report someone rebuilds by hand every Monday arrives finished in your inbox, with the same numbers and none of the copy-paste mistakes.
Recurring requests get an answer written from your real information — never invented, and reviewed by you before sending if you prefer.
You hear about it when something moves: stock running low, a lead coming in, a deadline approaching. No more checking.
It depends on the automation requested: some tools open up easily and we work directly inside them, others don't. We check what's possible in your environment before proposing anything.
Our method
By form or by phone. We note the tools involved, the volume, the rules to respect and who does what today.
On our side, we check what is technically feasible: access to the data, constraints of the systems in place, how to proceed. Nothing is announced before that step is done.
You receive what we can automate, how, in what timeframe and at what cost. If the analysis says it isn't feasible or isn't worth it, we tell you and charge nothing.
We build it, test with your real data and document everything. Then we monitor and adjust for as long as the system runs.
A system that reads food-donation offers arriving by email, pulls out the logistics, schedules the pickup and drafts the messages to the donor and the driver.
We don't publish numbers we can't prove and we promise nothing before studying the request. If our analysis says a task can't be automated or isn't worth it, the answer is no, in writing, with no invoice.
Every delivered system is documented: you know what was built, where it runs and how to take it over.
We collect the details, study the feasibility on our side, then come back with a clear answer: what can be automated, what can't, and why.