Since large language models (LLMs) such as GPT-4 and Claude became widely available, the world of business software has fundamentally changed. What used to require months of development effort can now be implemented in weeks. AI agents in particular open up possibilities for Swiss SMEs that were previously reserved for large corporations with correspondingly large IT budgets.
An AI agent is more than a chatbot. It can carry out tasks independently, access external systems, make decisions and escalate exceptions. Crucially, it works around the clock, without the error potential that comes with routine, and without vacation entitlement.
Here are five areas where deploying one already makes sense today.
Invoices, delivery notes, quotes, contracts: in many SMEs, these documents are still checked, typed up or forwarded manually. An AI agent reads incoming documents, extracts the relevant fields (amount, supplier, date, cost center) and hands the data directly to the ERP or accounting system.
What you gain: fewer errors, faster processing, and employees can focus on exceptions instead of routine.
Every company has knowledge that is buried somewhere: in manuals, meeting minutes, e-mails, SharePoint folders. New employees ask the same thing three times. Experienced employees search forever for the right version of a document.
A RAG-based AI assistant (retrieval-augmented generation) is built on your internal documents and answers questions precisely, citing its sources. It knows what is in your process documentation, knows your product specifications and finds the right paragraph in the employment contract.
Typical rollout time: two to four weeks.
The most common 20 percent of customer inquiries often account for 80 percent of the volume. Delivery status, return conditions, opening hours, product questions: an AI agent answers these inquiries immediately — in German, French or English — and hands more complex cases over seamlessly to a human employee.
The result is not that people are replaced. The result is that your employees handle fewer routine inquiries and can concentrate on consulting and complex cases.
Writing quotes is time-consuming. Much of it, however, is structured work: reading in customer data, selecting products, calculating prices, adapting standard text, generating a PDF. An AI agent takes over exactly this workflow, based on the parameters an employee specifies.
The same applies to reports: weekly reports, status updates, project documentation. The agent pulls data from existing sources and produces a structured draft that a human only needs to review.
Incoming inquiries via e-mail or web form are classified by the AI agent: Is this a serious inquiry? Which industry, what company size, what need? The information is automatically entered in the CRM, the right employee is notified and, if appropriate, a first response is sent.
No lead is forgotten anymore just because it is high season or someone is on vacation.
AI agents are not a cure-all. They work best for processes that are clearly defined, based on structured or semi-structured data, and where errors have no serious consequences (or are reviewed by humans). Strategic decisions, negotiations and emotionally charged customer situations remain human domains.
The decisive first step is not technology but analysis: Which process costs the most time? Where do most errors happen? Where do people wait longest for an answer?
Once you have answered these questions, you will quickly find the right entry point.
WeLytics supports Swiss SMEs in identifying and implementing AI projects. From the first workshop to a production-ready system. Contact us.
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