Service · Artificial intelligence

AI implementation

Choosing a model is the last step, not the first. We look for the spot where staff repeat one action dozens of times a day and where that work leaves a trail in your systems. Without both, you get an impressive demo that everyone has forgotten a month later.

Send an enquiry See the scope

Pilot

on a narrow scope

Metrics

before and after

Data in the EU

when it is confidential

Staff training

part of the project

What the service covers

Successful use cases tend to look unglamorous: routing incoming email, pulling fields out of invoices and contracts, drafting a reply for a support agent.

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Finding the spot

We walk through workflows looking for monotonous tasks that leave history behind in e-conomic, Microsoft 365 or your case management tool.

Data readiness

Is there enough material, and is it in a usable shape? Most AI projects stall on exactly this question.

Scoped pilot

A single use case on a slice of the workload, with KPIs recorded before and after.

Integration

Output appears inside the application people already live in: Outlook, Teams, the finance system or the helpdesk.

Human in the loop

People approve each result until accuracy is good enough for production, which is also what the EU AI Act emphasises.

GDPR and adoption

A data protection impact assessment where personal data is involved, and a session for users on when to rely on the tool and when to be sceptical.

How we deliver it

A pilot runs for four to six weeks. Whether it is scaled up or shut down is decided by its numbers, not by expectations set at kick-off.

Mapping

We shortlist candidate processes and estimate how many working hours they consume today.

Selection

One use case with a clear yardstick is picked. Tackling several at once dilutes the effort.

Pilot

At first, suggestions run in parallel with real work. The employee makes the call, and we analyse where machine and human disagree.

Roll-out

If the metrics confirm the benefit, we extend it to the whole process.

Staff trust matters as much as data quality. A tool people do not believe in gets bypassed, because redoing the job the old way feels easier than checking a machine. That is why future users sit in the pilot from day one instead of being shown the finished product afterwards.

Common questions

With the process rather than the technology. Identify where people do the same thing many times a day and check whether that work is recorded anywhere. If it is not, capturing it becomes step one.

Not in the use cases that work. Routine disappears, roles rarely do. Replacing an entire position only happens with purely mechanical tasks, so we will not promise payroll savings that seldom materialise.

We pick models and services that can run in EU regions and sign data processing agreements. For highly sensitive data, the model runs in your own cloud account in the EU, and nothing is passed on for training.

A single-use-case pilot usually amounts to a few weeks of work and is agreed at a fixed price. Anything beyond that depends on the outcome: if the gain is not proven, stopping is more honest than carrying on out of stubbornness.

Related services

View the whole area

Service AI strategy Roadmap, readiness check and a clear view of the AI Act Service Cloud AI infrastructure GPU capacity and data storage in EU regions Service AI training for staff Hands-on training built on your own everyday tasks

Let us find where AI pays off

Tell us where your people spend most time on repetitive manual work. We will look at your data and suggest a pilot.

Email
office@apply.dk

Coverage
All of Denmark, delivered remotely

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