Hallebardier › AI & automation

Give your team back the hours it spends retyping.

Double data entry, reminders, standard quotes, emails sorted by hand: this work shows up on no invoice, but you pay for it every week. I automate what should be automated, add AI where it helps, and leave the rest alone. Five questions show what this time costs you.

Question 1 of 5
How many people work in the business?
How many hours a week per person go into repetitive tasks: data entry, copy-paste, reminders, standard quotes or emails?
Do your tools (calendar, CRM, accounting, email) talk to each other?
And AI, today?
How often does a typing error, a forgotten reminder or a wrong figure cost you time?

Five questions, two minutes. Nothing reaches me until you send the form at the end.

Where AI really helps, and where it does not


AI reads, sorts and drafts very well. It decides badly in your place. Half the work is knowing where to stop.

Where it helps
  • Reading and sorting

    Incoming email, attachments, requests: filed and passed to the right person.

  • Retyping

    An order, an invoice, a form: the fields move from one tool to the next with no typing.

  • Writing the first draft

    Standard quotes, frequent answers, minutes: checked by a human before they go out.

  • Chasing

    Unpaid invoices, unanswered quotes, appointments: the reminder goes out on the planned day.

Where it does not
  • Deciding for you

    A price, a hire, a dispute: AI prepares the file, you decide.

  • Fixing an unclear process

    Automating a mess gives you a faster mess. We clarify first.

  • Replacing a relationship

    Your clients want to talk to you. Automation frees that time; it does not remove it.

  • Running unsupervised

    Every automation has an owner, a log and an off switch.

What the area covers


From the simplest to the most built. We always start with what pays back fastest.

Today, and after


Four situations I find in almost every small business.

An order comes inTodayRetyped into two programsAfterRecorded once, visible everywhere
A quote gets no answerTodayChased if someone remembersAfterChased on the planned day, with your wording
A client email arrivesTodayRead, sorted and forwarded by handAfterFiled, passed on, reply suggested
The end of the monthTodayA day of spreadsheetsAfterThe report is ready on the first

How it works


  1. 01The diagnostic

    Five questions, here. You see the figure before you talk to me.

  2. 02The task map

    One hour with you: each repetitive task, its time, its cost.

  3. 03The proposal

    The three automations that pay back most, costed, with their deadline.

  4. 04The set-up

    In your current tools where possible, tested on your real cases.

  5. 05The follow-up

    Thirty days of tuning, a log of what runs, an off switch.

Questions


Do I need to change software?

Rarely. I first connect what you already use. I suggest replacing a tool only when it blocks everything else, and I cost the difference.

Does my data go to OpenAI or elsewhere?

Only if you agree, and only what is needed. I choose a provider that does not train its models on your data, in Switzerland or Europe where possible, and I tell you which one before we start.

What happens if an automation gets it wrong?

It stops and someone is told. Every automation has a log, an owner on your side and an off switch. Anything that goes to a client is checked by a human until you decide otherwise.

How long before I see the gain?

The first automation usually runs within two to four weeks. The diagnostic, done again three months later, tells you what you actually gained.

How much does it cost?

On a quote, after the thirty-minute call. The diagnostic gives the order of magnitude of the gain: you will not get a proposal that costs more than it brings back within two years.

The figure first, the conversation second.

The diagnostic is at the top of the page: five questions, two minutes. Or by phone, on +41 26 420 00 86.