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Услуга · Artificial intelligence

AI adoption

We start not by choosing a technology but by finding a place where staff repeat the same operation dozens of times a day and where that work has left a trace in the systems. Without both conditions you get an impressive demo nobody remembers a month later.

Send a request What is included
Pilot
on a limited slice
Measurements
before and after
Your own environment
with confidential data
Обучение
included in the project

What the work includes

The scenarios that work look unexciting: sorting incoming mail, extracting details from a document, suggesting wording for an operator's reply.

Discuss the scope

Finding the use case

We study the processes and look for monotonous work that has left a history behind it.

Whether the data is usable

Whether there is enough material and whether its format is usable. This is where things most often stall.

A limited pilot

One scenario on a small slice of work, with metrics measured before and after.

Embedding

The result appears right in the application where the person already spends their day: the accounting system, the inbox, the ticket queue.

Human review

The output stays under human control until the accuracy is good enough for live use.

Обучение

We explain to the staff where the tool helps and in which cases it must not be trusted.

How it goes

The pilot takes a month to six weeks. Whether to expand or stop is decided by its numbers, not by agreements made at the start.

01

Search

We shortlist the candidate processes and count how many working hours they take today.

02

Choice

We settle on one scenario with a clear metric. Taking on several at once means scattering your resources.

03

Pilot

At first the suggestion runs alongside the live work: the decision stays with the employee while we track the differences.

04

Deployment

We extend it to the whole process if the measurements confirm the benefit.

People's readiness counts for as much as the data's. A tool the staff do not trust gets avoided: it is easier to do it the old way than to re-check somebody else's output. So the people who will use it are involved in the pilot from the very start rather than shown the result afterwards.

Questions and answers

With the process rather than the technology. Find where people repeat the same thing many times a day and check whether that work leaves a record in the systems. If there is no record, the first step is to create one.

In real scenarios no; what goes is the routine. Fully replacing an employee rarely works and only on entirely mechanical tasks. We will not promise headcount savings - in practice it almost never happens.

A pilot on one scenario is comparable to a specialist's monthly salary. Further investment depends on its outcome: if the benefit is not confirmed, stopping is more honest than continuing out of stubbornness.

More in this area

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Service AI adoption strategy Дорожная карта и оценка готовности компании Service Infrastructure for AI Computing power and data storage Service Training staff to work with AI Practice on real working tasks

We will find where it pays off

Tell us where you have the most repetitive manual work. We will check the data and propose a pilot scenario.