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Custom AI Solutions

Custom AI solutions when no standard software fits.

For us, custom AI development means an application of your own for your process, connected to your ERP, CRM or document repository. With AI where it takes work off your hands, and with approval by your team where it matters.

ApplicationBusiness Application

Tasks, status, sources and approvals in one interface.

IntegrationData & APIs

DMS, CRM, ERP, Files

LogicRules + AI

Validate, Search, Prepare

What you get

An application that fits your process.

Tailored

Your rules in the system

The application reflects your checks, roles and exceptions. Your team no longer has to work around the software.

Connected

Connected to your systems

Data arrives through interfaces instead of being retyped. We check before the start whether your systems allow this.

Under control

AI helps, your team decides

AI reads, searches and prepares. Anything important is approved by a responsible person.

Expandable

Start small, expand where it pays off

The first version covers the core process. Further features are added when they are worth it.

What it looks like

One complaint. Everything on one screen.

Today your team pieces together delivery note, order and contract documents from mailbox, ERP and Excel. A custom application maps your complaints process: the case is prepared on one screen, your specialist decides, and the result goes back into the ERP.

InputComplaint by email
Bearing failed after three weeksFrom: Sample Plant Engineering Ltd
Photo_bearing.jpgDelivery_note.pdf

“The bearing you delivered failed after three weeks. Please send a replacement.”

Your applicationCase prepared for a decision
Recognised

The AI reads the email and delivery note and matches part and order. The delivery date comes from the ERP.Attachment and ERP

Deadline

According to your deadline rule, the delivery is within the review period. Your specialist checks the claim.Fixed rule

Note

The AI finds three similar complaints about this part from last year.Complaints archive

Approval

The quality manager decides: replacement, credit note or query.

Next

Depending on the decision, the application creates a replacement order or credit note in the ERP, or prepares the query.ERP interface

The application saves the decision and the reason in the case.

Example with sample data, not a customer reference. Another example is shown on the page Internal AI Systems.

How it works

Four steps to a first version your team uses.

01

See how it works

Together with your team we look at how the work runs today and where time is lost.

02

Define the first version

What it can do and what comes later is set out in the written quote, with schedule and price.

03

Build and test

We develop the core version and test it with real cases from your daily work.

04

Hand over and expand

Your team works with it. It is expanded when that pays off.

Who is behind it

Advice and delivery from one source.

You talk to the person who actually builds your application.

See the APIORIUM example

Already in use

A real project

APIORIUM runs a multilingual website chatbot with its own knowledge base.

Personal

Martin Trixner

Has been building software and integrations since 2002 and is a certified AI-Automations-Manager.

Honest

Off-the-shelf software when it is enough

If off-the-shelf software fits, we recommend it. We only propose custom development where it pays off.

Frequently Asked Questions

Frequently asked questions about custom AI solutions.

When is a custom solution worth it?

When your process has its own rules, several systems have to work together and standard software only fits with workarounds. If there is a ready-made solution, it is usually cheaper.

What does it cost?

That depends on the scope of the first version and the integrations. After a look at your process you receive a written quote with scope, schedule and price. Development and operation, including maintenance, are listed separately.

Where do the AI and the data run?

We agree on this together before the start. Customer data does not go to external AI services without an explicit agreement.

What technology is behind it?

Whatever a fixed rule handles reliably stays a rule. AI comes in where texts are read, searched or drafts are prepared. It can be wrong, so your team checks the important results.

See the decision guide

Not sure where to start yet? These entry points clarify that first:

Quotation Process Assessment

AI Opportunity Assessment

Prepare Your Data for AI

Next Step

Which process in your company fits no software?

Describe it to us in 30 minutes. You will find out whether a custom solution is worth it and what a first version could look like. In person with Martin Trixner, free and without obligation.