Area 15 · Data, AI and consulting

Artificial intelligence

Failed projects almost always began with «we should apply this somewhere». We move the other way: we find where staff manually plough through repetitive text and paperwork and calculate the return from automating it. If the numbers do not add up, we say so plainly.

Find the use cases What we do

services in this area

Pilot

before rolling out to everyone

GPU

hardware for rent

The measure

the benefit is calculated in advance

What the area consists of

Four services take you along the whole route: work out whether it makes sense, prepare the foundation, launch it and train the staff.

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AI adoption

Tasks with a calculated return: sorting incoming email by topic, drafting template replies, extracting data from documents, drafting product descriptions. We start with a narrow slice of the work.

Strategy and roadmap

An inventory of working procedures, selection of suitable ones, assessment of the gains and risks, and a plan of action for the year.

Infrastructure for training models

Accelerators and storage for training on your own material, hosted inside your perimeter if required.

Training staff to work with AI

Practice on the participants' own real work rather than a lecture. A separate block covers which information must never go to outside services and why.

Where the benefit appears most often

Work suited to this is recognised by three signs: the operations repeat, a small error rate is tolerable, and there is someone to check the output.

Incoming enquiries

The decision is made by a person. The software works out what an enquiry is about and routes it to the right department.

Source documents

The check happens when the document is posted. The software lifts numbers, dates and figures from scanned source documents.

Product listings

The text is proofread before publication. The software drafts a description based on the product's attributes in the catalogue.

The support knowledge base

A specialist reviews it before it is sent. The software finds an answer from your internal documents and guidance.

Contracts

The legal team checks it as a matter of course. The software compares the text against a standard form and highlights the differences.

Company data has no place in outside services. Before launch we draw the line between what may go outside and what is processed strictly inside your perimeter. For confidential information we deploy everything on your own hardware, even though that costs more.

How the rollout goes

A pilot always comes first. We roll out to the whole organisation only what measurement has shown to be useful.

We pick the use case

We study how the work runs and count the time eaten by repetitive actions. We settle on one use case with a clear measure.

A pilot

A limited rollout on real material where an employee always reviews the output. We record the accuracy rate and the time freed up.

We look at the numbers

We compare the result against the original measure. If there is no return we stop the pilot without regret; that beats rolling out something useless.

Launch and training

We embed it in the applications people actually use, write the procedure and run training, covering the handling of data separately.

Questions and answers

That does not happen on our projects. The software prepares a draft or a preliminary conclusion, and an employee checks it and carries responsibility for the result. The saving comes from time rather than redundancies: a person handles more requests while staying in their job.

Mistakes are inevitable; the only question is how many. That is why we decline tasks where a single error is costly and there is nobody to check. During the pilot we always measure the accuracy rate and agree in advance the threshold below which there will be no rollout.

A large share of tasks is solved by an existing model given clear instructions and access to your material - that is faster and cheaper. Fine-tuning on your own data is needed when the subject is narrowly specialised and general models do not understand it.

Considerably less than a full project: usually two or three weeks on a single use case. The whole point is to test the assumption cheaply before spending on hardware and integrations.

Related by task

Browse the catalogue

Area 07 Cloud services and hosting Hardware for training models Area 09 Information security Protecting models and training data Area 16 Data and analytics Clean data before launch Area 21 Training Training sessions for staff

We will find where it pays off

Опишите, какие операции персонал выполняет вручную день за днём. Выберем пригодные участки и предложим пробу с измеримой меркой результата.

Phone
8 (777) 121 5771

Email
office@apply.kz

Office
Almaty, Bukhar Zhyrau boulevard, 62B

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