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What is included

The use cases that work are usually dull ones: classification, extracting data from documents, prompts for an employee.

Discuss the scope

Finding use cases

We review the processes and look for repetitive manual work with an accumulated history.

Assessing the data

Whether there is enough material and whether it is structured enough. This is most often the limiting factor.

Pilot

One use case on a limited area, with the result measured before and after.

Integration

Connecting to the accounting system, email or the ticketing system, where people already work.

Quality control

A person checks the output until the accuracy becomes acceptable.

Training

We show employees where the tool helps and where it cannot be trusted.

How the work runs

The pilot takes four to six weeks. The decision on a full rollout is made from its results, not in advance.

01

Assessment

We look for candidate processes and estimate how much time they consume today.

02

Choosing the use case

We take one with a clear metric. Several at once spreads attention thin.

03

Pilot

A shadow-mode launch: the system suggests, a person decides, and the results are compared.

04

Rollout

Extending it across the whole process if the figures confirm the benefit.

Implementations fail on the data, not on the technology. A company wants to classify enquiries automatically, but the history was kept in email with no categories, so there is nothing to learn from. A year of proper record keeping delivers more than the most advanced model.

Frequently asked questions

With a process rather than a technology. Find where employees do the same thing by hand many times a day and check whether a history of that work is kept. If there is no history, the first step is to start keeping one.

In the use cases that work, no; it frees them from routine. Fully replacing a person is rare and usually happens only where the task is entirely mechanical. We do not promise headcount reductions because in practice they seldom happen.

A pilot on one use case is comparable to a month of one specialist time. Further investment depends on the pilot result: if the effect is not confirmed, stopping is the honest answer.

Other services in this area

The whole area
Service AI adoption strategy A roadmap and an assessment of company readiness Service Infrastructure for AI Compute capacity and data storage Service Training employees to work with AI Practice on real work tasks

We will find a use case that pays off

Tell us where you have a lot of repetitive manual work. We will check whether the data exists and propose a pilot.