🏢 Corporate AI (RAG)

AI knowledge base for company documents

Upload agreed company documents — regulations, price lists, instructions. AI helps find relevant information from approved sources; the deployment model is selected to fit project requirements.

Discuss Corporate AI

How it works

📄
Your documents
🔄
Indexing
🤖
AI searches your data
💬
Information from sources
Answers are formed from indexed sources. When no relevant source is found, this is flagged for specialist review.

System capabilities

📋

Knowledge base for employees

HR policies, regulations, product manuals. AI helps employees find answers in agreed internal sources.

💼

Assistant for sales managers

Price lists, specifications, deal terms. A manager asks a question — AI helps find the relevant information in agreed sources.

🔗

Integration with 1C / Bitrix24 / amoCRM

Connections to system data are configured for the client's server, data structure and requirements.

🔒

Cloud, private cloud or on-premise — based on project requirements

The deployment model, data boundary and use of external services are selected after reviewing project requirements.

Corporate AI (RAG) deployment options

Scope, architecture, timelines, SLA and support are defined after discovery and documented in the contract.

Cloud

A cloud deployment option when it fits project requirements

Project estimate

Custom estimate

Project terms

SLA and support by contract

Need Sources, roles and acceptance criteria need to be agreed

Approach Outcomes and limitations are defined after discovery

  • Indexing of agreed documents
  • Cloud deployment when the data model permits it
  • 1C, amoCRM and Bitrix24 integrations as required by the project
  • Roles and access based on the agreed model
  • SLA and support by contract

Private cloud

A private cloud option for data-boundary requirements

Project estimate

Custom estimate

Project terms

SLA and support by contract

Need Placement, access and threat-model requirements need to be agreed

Approach Architecture and acceptance criteria are defined per project

  • Private cloud when required
  • Data placement and security requirements defined before design
  • Integrations with agreed client systems
  • Action logs and roles based on the agreed model
  • SLA and support by contract

On-premise

An on-premise option for the client's infrastructure

Project estimate

Custom estimate

Project terms

SLA and support by contract

Need The system needs to run inside a controlled environment

Approach Deployment and system connections are designed for the infrastructure

  • On-premise when required by the project
  • Configuration for the client's server and data structure
  • 1C, amoCRM and Bitrix24 integrations within the agreed scope
  • Backups and action logs within the agreed scope
  • SLA and support by contract
💡 Exact cost is calculated after a free 60-minute audit — price depends on the number of scenarios, channels and integrations.
live audit

Start with a free audit

Бесплатно разберём процесс, системы и ограничения и предложим следующий шаг. Без обязательств.

01

Разберём процесс

где теряются заявки, звонки, задачи и контроль

02

Покажем AI-сценарий

что автоматизировать первым без перестройки всего бизнеса

03

Дадим оценку бюджета

формат запуска, сроки, интеграции и риски

После заявки уточним задачу, системы и ограничения и согласуем следующий шаг.

Бесплатно · Без обязательств

Бесплатная первичная консультация

A consultant will get in touch within an hour during business hours (Mon–Sat, 9:00–19:00)

Введите с кодом страны — флаг обновится автоматически

🔒 Конфиденциально·Без спама·Response within an hour·AI assistant — 24/7