AI as a working tool

AI solutions

We create assistants, knowledge search, data mining and generative scenarios for business.

What we solve

Focused on business outcomes

01

AI assistants

Assistants for employees, support, sales and document management.

02

Search by knowledge

Answers based on an internal database with sources indicated.

03

Document processing

Extracting, classifying, checking and structuring information.

04

AI product features

Generation, recommendations, analysis and new intelligent scenarios.

Deliverables

What you receive

The composition of the result is specified according to the task, scale and current maturity of the project.

AI prototype

Validation of applicability using real scenarios and data.

Quality circuit

Metrics, test cases and rules for checking results.

Integration

A tool built into a workflow or product.

Regulations

Rules for safety, roles and responsible use.

Process

From context to implementation

We work in short, clear steps and show the intermediate result.

01 / DISCOVERY

Discovery

We clarify goals, users, processes and restrictions.

02 / SOLUTION

Concept

We formulate the approach, scope, priorities and criteria for success.

03 / DELIVERY

Implementation

We make iterations, check quality and show progress.

04 / IMPACT

Launch

We implement, measure results and plan development.

Frequently asked questions

What to know before we start

Answers to questions that help determine the format of the first stage and prepare for discussing the task.

Searching corporate knowledge, preparing responses and documents, classifying requests, extracting data, assisting employees and automating standard intellectual operations.

Yes. To do this, we design a knowledge base and RAG search, define access rights and update rules so that answers are based on permitted corporate sources.

We set verification criteria, a test set of questions, sources and restrictions. For important decisions, we retain human confirmation and logging of the result.

From one measurable scenario where there is data and clear value. We create a prototype, check accuracy and economics, then decide how to integrate it into the workflow.

Next step

Let's discuss your task

Briefly describe the context - we will suggest the format of the first stage.

Send a request