Olive oil and wine on a stone table
Our approach

We do not start with the technology. We start with the business.

How customers are served. How employees work. Where knowledge resides. Where time disappears. Where information is recorded more than once. We then put that knowledge into a system – not to replace people, but to give them better tools.

The Caxia model

Understand → Structure → Connect → Simplify → Improve

Five steps that take the business from scattered knowledge and manual routines to a simpler, smarter workflow.

1

Understand

We get to know the business – the people, customers, workflows, products, data and knowledge. Not just the systems.

2

Structure

Documents, product information, procedures, rules and experience are organised so both people and AI can use them.

3

Connect

ERP, CRM, finance, PIM, inventory, document archives and specialist systems no longer need to be isolated islands.

4

Simplify

AI and automation where they add value: fewer keystrokes, less double entry, faster answers and fewer errors.

5

Improve

We learn from how the solution is used and improve the workflow based on feedback from the people using it.

From knowledge in people's heads to knowledge in the system

When the answer depends on the right person being available

Much of the knowledge sits with individuals, in documents, emails, product databases and old routines. We build solutions where the business's own sources can provide the answer.

  • “How did we do this last time?”
  • “Which product fits here?”
  • “What does the contract say?”
  • “What has this customer bought before?”
  • “Which regulations apply?”
  • “Where do I find the documentation?”
  1. 01

    Structured

    knowledge from people, documents and systems is gathered

  2. 02

    Accessible

    the right information when an employee needs it

  3. 03

    Searchable

    ask in plain words instead of digging through menus

  4. 04

    Reusable

    experience from one job helps with the next

  5. 05

    Actionable

    answers that become quotes, orders and follow-up

A new layer over existing systems

AI should make the systems you already have easier to use

Not all systems need to be replaced – often the opposite is smarter. The challenge is that systems do not always talk to each other, and employees have to know where to look.

ERP + finance + CRM + PIM + warehouse + documents + procedures + product data + specialist knowledge – connected with modern AI and MCP solutions. Instead of digging through menus, the employee can simply ask.

A laptop showing data analysis
  • “Show unpaid invoices for this customer.”
  • “What has the customer bought in the last twelve months?”
  • “Find the product that suits this treatment.”
  • “Draft a quote based on previous jobs.”
  • “What does the documentation say about this product?”
  • “Which items should be reordered?”
The workflow – not just the software

If we were to design this workflow today, how should it work?

Traditional digitisation has often meant moving a paper form onto a screen. We go further.

Keeps

what works.

Simplifies

what is unnecessarily complicated.

Connects

information that is scattered.

Automates

repetitive work.

Gives people control

where experience and judgement matter.

People, systems and AI working together

When we develop a new workflow, we consider from the outset what people should do, what the systems should do, and how AI can make that interaction work better.

AI is not the product. Better workflows are the product.

What the business actually needs
  • Faster quotes
  • Simpler ordering
  • Less administration
  • Better product information
  • Better customer overview
  • Better inventory management
  • Faster training
  • Less duplicated work
  • Easier access to internal knowledge
Physical products

Our own value chains as a practical arena

Glass, olive oil and wine show that we understand the whole chain: product → producer → import → product data → warehouse → logistics → sales → customer.

Here we can test and develop modern solutions in real value chains – combining industry knowledge, product knowledge and technology.

A laid restaurant table with wine glasses
Download

Caxia strategy document (PDF)

The full document in one place, for those who want to read more.

Download PDF (Norwegian)
Industry knowledge put into a system

People with experience. Technology that makes knowledge accessible.

Tell us how your business works today – and together we will find where it can become easier.