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Competitiveness

How should we use AI to stay competitive?

The first question, and the only one a product cannot answer. We start in operations, not in technology.

It often looks like this.

AI is on the agenda, but nobody owns it

Leadership wants to move forward, but ownership, direction and priorities are not yet in place.

Tested, but without a shared plan

A few employees already use AI, but the company lacks shared rules and a clear next step.

Options grow faster than the overview

New tools and solutions arrive all the time. The challenge is knowing what is actually relevant to the business.

How we work.

An employee going through numbers and workflows at a screen
  1. 01

    Map

    We follow the workflows where the hours and the errors actually go, and talk to the people doing them.

  2. 02

    Calculate

    Every opportunity gets a number: time, revenue or risk. If it cannot be calculated, it is not on the list.

  3. 03

    Prioritise

    Two to five initiatives in order, with effect, price and who benefits. Sometimes the recommendation is to wait.

What you get.

Prioritised plan
The initiatives that move the most, in the order they should be done.
Business case
Effect and cost per initiative, so the decision can be made on numbers.
An honest no
The ideas we advise against, and why. That often saves the most.

Who is typically involved?

Valiss, your key people and, when relevant, the specialists the task requires. The right team at the right time.

Within the rules, from day one.

Four principles that apply to everything we recommend and build.

Read about GDPR-safe AI
Customer data stored in the EU
Hosting and backup in the EU with a data processing agreement.
You own the data and the solutions
Access and rights are controlled by you, and what we build you can take with you. No lock-in.
Data processing agreements before start
With us and with the technology partners included in the solution.
Ready for the AI Act
We map what is covered and what that requires.

What we are usually asked.

The rest we cover in the AI Potential Review.

Let’s talk

How long does it take?

The AI Potential Review takes 30 minutes. A full plan typically takes two to four weeks, depending on how many workflows we go through.

Do we need data ready?

No. We gather what we need in the conversations and in the systems you already have. Most of the effect can be calculated from hours and volume of enquiries.

What if the answer is that AI does not pay off for us?

Then we say so. A plan that recommends waiting in one area and starting in another is a good result.

Can we use the plan without you?

Yes. You own it, and it is written so another supplier could carry it out.

30 minutes. No preparation.

A list of your low-hanging fruit, and an honest view on whether you should start now.