Automating your processes for small businesses in Nice and on the Côte d'Azur

Four families, and nothing abstract about them. Document processing: supplier invoices, delivery notes, contracts and quotations read automatically, with the amounts, dates and references pulled out and posted into your accounts or your ERP. Client replies: draft answers to recurring enquiries, prepared from your own templates and signed off by a human before they go. Automated data entry: meeting notes dictated then structured, client records completed, data copied from one tool into another without anybody touching it. Reporting: a sales or finance dashboard rebuilt every Monday morning from your own files, with a written summary of the variances.

In a twenty-person firm those four uses routinely add up to several hours a week per department. None of the four requires you to change software: they graft onto what you already have.

In the practices, agencies and service companies we support on the Côte d'Azur, four pieces of work come back with a quick return. Drafting quotations from a catalogue and a conversation with the client, which halves the writing time. Sorting and routing incoming email to the right person, with an automatic holding reply. Searching internal documents, which replaces digging through shared folders with a question asked in plain language. Chasing unpaid invoices, prepared automatically and sent after sign-off.

Conversely, anything that commits the company legally, touches payroll or decides in a human's place stays out of scope.

In hours saved per week, costed before the launch then measured again a month after going live. Those are two figures, not an impression. We also record the sign-off rate — what proportion of the output goes out untouched — because an automation that always has to be corrected saves nothing.

That double measurement also serves to stop a project. We would rather halt an automation that is not keeping its promises than keep it running so as not to have to admit it.

Through a short proof of concept, every time. Two to four weeks to build a first version real users can work with, on real data, with a measurement before and after. Then the rollout: building it into the tools your teams already use — email, order management, shared folders — so that nobody has to change habits needlessly. Finally the training: one short session per department, a one-page guide, and a review at three months to adjust.

We deliberately stay on a single use case at a time: that is what makes a real gain measurable and keeps the teams' trust for the next piece of work.

Much less than people imagine, provided you start small. Here is how a costing breaks down: proof of concept on one use case; rollout and integration with your tools; monthly subscription for hosting, monitoring and support; team training, per session.

On top of that comes model usage, recharged at cost and generally marginal at the scale of a small business. The final figure depends above all on the number of data sources to connect and on the level of checking required before a document goes out to a client, far more than on the choice of model.