Laracraft

AI integration

AI that knows your process.

Generic AI tools speak well. But they know nothing about your customers, your articles, your rules. We build in AI where it really replaces your daily work.

Free AI analysis Three specific use cases

Use cases

Three places where AI immediately takes over work.

We describe them as we would implement them with you: from the process, not from the technology.

Understanding documents

Invoices, orders, delivery bills, readable for your system.

Most receipts arrive as PDFs, photos or in an e-mail. Until today, someone types them up. That no longer has to be the case.

Today

Clerks open each invoice individually, type the supplier, items and amounts into the accounting system. Typing errors become expensive later in the payment run.

With AI in your system

Documents come in, are automatically classified, fields are extracted, compared against master data and prepared in the ERP. Humans check and approve instead of typing.

Why it works

Because the AI knows your suppliers, your cost centers and your booking logic. It does not work generically, but against your real master data.

Chat about your own data

Ask your system instead of building reports.

The exciting questions come spontaneously, not in the quarterly BI meeting. If the answer takes three days, nobody asks again.

Today

Every new evaluation means: formulate request, open ticket, have SQL written, wait for Excel export. Or it simply doesn't happen.

With AI in your system

"Which customers ordered less in Q1 than in the previous year, and what was in the shopping cart?" Answer directly in the interface, based on your live data, with source click back into the data record.

Why it works

The AI only receives verified views of your data, with authorizations and audit log. No wild queries against the production database, no hallucinations about invented customers.

Classification & Routing

Requests end up where they belong. With a design in their luggage.

The most expensive part of the service is not the answer, but the minute it takes for someone to find out what it's all about.

Today

Inquiries end up in a collective mailbox, someone reads, sorts and forwards them. Important things get lost between newsletters and spam.

With AI in your system

Incoming messages are classified (complaint, order, query), prioritized and assigned to the right team. A draft response with reference to the customer is already available next to it.

Why it works

The classification learns from your actual volume and your previous assignments. No rigid rules, but also no black box: every decision remains comprehensible.

What is important to us

AI is a lever, not a creed.

Which is non-negotiable for us when we build AI into your software.

Your data remains your data

Hosting in the EU, on-premise on request. No transfer as training data to third-party providers. GDPR-compliant, including for personal processes.

Comprehensible, not just clever

Every AI decision comes with source, confidence and audit log. You can see why a document was classified in this way, not just the result.

Where AI is useless, we say so

Not every process needs a model. If a simple script, a rule or a better form is the better answer, we recommend exactly that.

Frequently asked questions

That's what our customers ask.

Is something missing? Simply ask by e-mail or directly in the analysis.

  • What happens to my data?

    Your data remains in your infrastructure or in EU-hosted services, depending on the setup. It is not used for training third-party models. Complete on-premise operation is possible for particularly sensitive processes.

  • Is the AI hallucinating, and what are you doing about it?

    Hallucinations are especially a problem when AI formulates freely. That's why we don't let it "say anything", but work against your actual data, with sources for each answer. Where there is uncertainty, it is made visible instead of being ironed out.

  • Does it also run on-premise?

    Yes, for data-sensitive processes we rely on locally operated models or self-hosted variants. This reduces some capabilities, but creates complete control over data and costs.

  • What does this cost during operation?

    Two items: the integration (one-off, part of our fixed price) and the ongoing model costs, which we report transparently. For each use case, we choose the cheapest model that still delivers the quality, not the most expensive.

  • What if the models change?

    The interface between your software and the model is in our code, not that of a provider. A model change is then a configuration change, not a new development of the function.

  • We do not yet have an individual system. Is it worth it?

    Then we talk about the process first, not about AI. In most cases, the biggest lever is to map the work cleanly first. AI then comes on top as a second step, where it saves real time.

Let's talk

Show us your process and we'll show you what software can do with it.

A non-binding 30-minute analysis, a clear view of the biggest levers, not a sales show.

Free 30-minute analysis [email protected]