Services

AI, automation, and software connected to operations.

Aprex helps businesses move from manual processes and disconnected systems to practical AI solutions, automation, integrations, and custom software. Work usually starts with one clear workflow and a pilot that shows value before broader rollout.

Last updated: September 22, 2026

  1. 01

    When does Aprex fit?

    Aprex fits when you have a concrete workflow that takes time, creates errors, lacks overview, or requires manual copying between systems. This can include document flow, reporting, field operations, CRM follow-up, internal knowledge, customer dialogue, or data-driven dashboards.

  2. 02

    AI where it creates value

    AI is used when the solution must understand text, documents, images, questions, or unstructured information. Where normal rules and APIs provide more control, they should be used. A strong solution often combines AI with software, integrations, and clear approval points.

  3. 03

    From pilot to production

    Before full rollout, the solution should be tested on realistic data and users. Aprex clarifies data access, integrations, security, roles, logging, and measurable value before the solution gets broader operational responsibility.

  4. 04

    An Aprex product: 24AI

    24AI (24ai.no) is an Aprex-built service covering AI news, models, tools, and policy. It is a concrete example of combining information collection, structuring, and publishing in one product. Visit 24ai.no or find out more through the product pages.

Overview

Service areas

Start with the area that best matches the problem. The pages below explain scope, use cases, security, and what a first pilot can look like.

FAQ

Services FAQ

Do we need to know which technology we need?
No. The most important thing is describing the workflow, data sources, users, and desired effect. Technology choice should come after the problem is understood.
Can Aprex build both AI and regular software?
Yes. Many strong solutions combine AI, APIs, databases, user interfaces, and automation. AI should be part of the system, not the whole strategy.
How large should the first project be?
Start narrow. A good pilot tests one concrete workflow, exposes risk, and measures whether the solution creates value before scaling.
What should we send in the first request?
Send a short description of the process, systems, data sources, users, volume, and where errors, waiting, or duplicate work occur.
Trust

Practical before large

Aprex should not start with broad transformation programs when value can be tested faster. The first delivery should be concrete enough to use, measure, and improve, but scoped enough that risk and cost do not outrun value.

Want to clarify the right first service?

Describe the workflow, systems, and what you want to improve. Aprex can suggest whether the first step should be AI, automation, integration, or custom software.

Tell us what you want to build →