AI for the SME office: appointments, quotes and follow-ups automated

The bottleneck today

In a typical SME office, communication runs across several channels at once: phone, email, sometimes WhatsApp, plus an ERP or CRM for the actual cases. The problem isn’t any single channel, it’s the switching between them: a request comes in by email, the reply needs data from the ERP, the customer’s follow-up question then comes by phone, and by the end nobody quite remembers who last promised what.

Quotes that were sent get forgotten because nobody follows up systematically. Appointments get double-booked because the calendar isn’t connected to the actual request channel. And because every tool has its own knowledge, each channel may answer the same question differently.

What the AI takes over (a concrete day)

A new customer calls and asks for a quote. The AI phone assistant captures the key details, the agent automatically drafts a quote from your price list, an employee briefly reviews it and sends it.

Five days later the customer hasn’t responded. The agent automatically sends a friendly follow-up referencing the quote, instead of the case simply falling through.

In parallel the shared inbox runs: email, WhatsApp and calls appear as one list. Your team works through it systematically instead of switching between three programs; every reply draws on the same knowledge base, regardless of which channel the question came through.

Connecting to your systems

The connection runs via automation software to your existing ERP or CRM, your calendar and your invoicing system; with over 400 available connectors the hit rate is high, from DATEV interfaces to Microsoft 365. Every case the AI creates or changes is traceably logged in the system.

Cost & benefit

Setting up a single building block costs 1,500–3,500 €, operation from 150–400 € per month. The effect compounds with each further building block: a shared inbox plus automated quote follow-up typically saves several hours of office time per week, time that would otherwise go into switching systems and manual chasing.

Honest limits

The AI makes no special commercial decisions: discounts, individual terms or complaints stay with your team. With very fine-grained, frequently changing quote structures, setting up the knowledge base needs a bit more lead time, because the pricing logic has to be mapped precisely. And a system doesn’t replace a strategic decision: what you offer and on what terms remains your call.

Frequently asked questions: SME office

We already use several tools, is this still worth it?

Especially then. From about two to three separate AI or communication tools onward, a connecting system becomes cheaper than maintaining each tool individually, because the knowledge base and rules only need to be maintained once instead of several times.

How many employees does it take for this to pay off?

The typical use case sits around 5 to 50 employees: large enough that several channels are used daily, small enough that nobody can dedicate a whole IT department to it. But individual building blocks are worth it even smaller.

What happens with quotes the customer doesn't respond to?

The agent can follow up automatically after a deadline you set, in a friendly tone, referencing the original quote. You decide after how many days and in what tone that happens.

How quickly do we see an effect in daily work?

With the phone assistant and the shared inbox, usually noticeable within the first week of live operation. The quoting agent takes a bit longer, because it first has to learn from real cases where your pricing logic has exceptions.