AI assistants take repetitive work off your team. Data insights and predictive maintenance show where your business loses time and money, before it gets expensive.
A — Automate
AI assistants for tasks that repeat every day. A person stays in control.
A 1
Sound familiar?
Invoices, delivery notes, contracts and forms are opened, read and typed in by hand.
The solution reads incoming documents, extracts the key data and puts it where it belongs: in accounting, a deadline list or your CRM.
How it works
A 2
Sound familiar?
The same questions about opening hours, delivery status or appointments arrive by e-mail, phone and WhatsApp, in the evening too.
An assistant answers customer questions on your website, on WhatsApp or by phone, day and night. It knows when to hand over to your team.
How it works
A 3
Sound familiar?
Knowledge sits in manuals, guidelines, contracts and price lists, and in the heads of a few people.
Your team asks questions in plain language and gets answers from your own manuals, guidelines, contracts and price lists. Every answer shows where it comes from.
How it works
A 4
Sound familiar?
Finding, researching and contacting new business customers takes hours and gets pushed aside by daily work.
The assistant finds suitable companies and contact people, researches them and drafts the first message. Your team reviews and sends it.
How it works
B — Understand
The data you already have, turned into clear answers and early warnings.
B 1
Sound familiar?
The numbers exist, but they are spread across accounting, ERP, Excel and time tracking. Nobody sees the full picture.
We connect the data from your systems and show where time and money get stuck, so you know what to improve first.
How it works
B 2
Sound familiar?
Equipment fails without warning, and then things get expensive and hectic.
Sensor data from your machines or building services reveals anomalies early, so repairs can be planned before something breaks.
How it works
Example scenarios
Example scenarios for illustration, not client projects. On the discovery call we look at which of them fit your business.
Example
Invoices from the inbox are read, matched against the purchase order and prepared for approval.
Document automationExample
Requests via website and e-mail are pre-sorted, missing details requested and a reply drafted.
Customer assistantExample
Figures from accounting and time tracking are compiled automatically into a monthly report that is easy to read.
Data insightsExample
Handwritten or photographed site reports are captured and prepared for invoicing.
Document automationExample
Technicians ask about installation requirements and get the answer with a reference to the original document.
Knowledge assistantExample
Operating data from heating, ventilation or cooling is monitored and anomalies are flagged early.
Predictive maintenanceData & hosting
We choose the AI model by how sensitive your data is. You know where processing happens before we start.
An open AI model running on servers in Switzerland.
Suited to Sensitive data that should not leave Switzerland.
A powerful commercial model, with contractual safeguards.
Suited to Tasks that need the strongest models.
The solution runs entirely in your environment.
Suited to Data that must not leave your organisation at all.
You learn which providers are part of a solution. Where we process personal data on your behalf, we put it in a contract.
Whether a provider stores inputs or uses them for training depends on the product, the contract and the settings. We clarify this before we start and document it.
How long which data is kept, and when it is deleted, is set per project.
Before a solution goes live, we go through the requirements of the Swiss Federal Act on Data Protection (FADP) together with you.
These points describe how we work. They are not legal advice, and no law automatically “certifies” a solution.
If a process costs you time or money, we look for a way to improve it, built around how your business works.