Corporate AI assistant for business — on your company's data, in a secure perimeter

where the company loses

Three losses that never show up in reports

I routine

Hours go into searching and reassembling

Employees hunt for answers in policies, keep asking colleagues, and put together standard documents and reports by hand. The company's knowledge sits in folders and in people's heads — and gets dug up from scratch every time.

II channels

Inquiries are scattered and get lost

Clients write on Telegram, WhatsApp, the website and email. The channels are disjointed, there is no history per client, and night-time and peak inquiries go unanswered — going instead to whoever replied first.

III data

Public AI is banned by security

The company sees the value of AI, but the security team rightly blocks public ChatGPT: corporate data must not leave for external services. As a result, employees either work without AI or leak data around the ban.

An employee sorting through stacks of printed policies by the light of a monitor — **this is what finding an answer looks like** the company's knowledge sits in folders and in people's heads

what the assistant does

One engine — two perimeters: for employees and for clients

This is a corporate GPT on your own data: for each company we assemble the modules you need — from an internal knowledge base to client channels. We don't push anything unnecessary.

Answers from the company knowledge base

Policies, instructions, products, prices, FAQs and scripts are loaded into the assistant's memory. An employee asks in plain language — and gets an answer from your documents, not generic musings from the internet.

internal perimeter

Documents, turnkey

Proposals, presentations, Word, Excel, PDF and reports — in a single request. Not a draft in a chat, but a finished file with layout, tables and your brand style.

internal perimeter

Omnichannel work with clients

Telegram, WhatsApp, a website widget, email and other channels converge into one window with a shared history per client. The assistant advises and replies around the clock — inquiries don't get lost.

client perimeter

AI for the sales team

The assistant handles incoming conversations, qualifies leads and hands managers only the hot ones — with a client card: contact, gist of the request, link to the conversation. The full funnel: warming up, closing, reactivating dormant leads.

client perimeter

The human is always in charge

The moment a manager writes to a client themselves — the assistant steps back and does not interfere, then picks up again without losing context. Money and important decisions are always escalated to people.

owner-takeover

CRM, integrations and analytics

Bitrix24, amoCRM, Salesforce, 1C/ERP, Google Sheets, calendar, payment services. Contacts and lead statuses are saved automatically, and the manager sees reports: leads, conversions, response times, workload.

both perimeters

secure perimeter

Your own server. Your own AI engine. Your data stays with you

The key difference between the corporate version and public AI is the architecture. We don't plug your company into someone else's cloud: we deploy the AI in a closed perimeter that you control.

Deployed on your own server

The engine is installed in your data center or on a dedicated machine controlled by your IT team. The perimeter, access and backups are administered by your team — by your rules.

Data does not leave for providers

Documents, conversations and personal data are processed inside the perimeter and are not passed to external AI services. No "sending off for training" into someone else's models — by design.

Data in-country, the basis for 152-FZ

Personal data of clients and employees is stored and processed inside your perimeter within the country. The 152-FZ localization requirement (Russian data-localization law) is met by the solution's architecture itself, not by a promise in a contract.

Aligned with your security before launch

The architecture, integration points and access perimeter are fixed during the brief together with your security team. The assistant arrives in the company as an approved tool, not as a shadow service.

A server rack with green indicators in a company's closed data center — **on-premise** the engine lives on your hardware, the perimeter is administered by your team

// this is the honest answer to the request "a secure ChatGPT alternative for the company": don't ban AI — give it inside a perimeter that you control

turnkey deployment

Five stages — each closes with a verifiable artifact

Turnkey AI deployment for a company is not "we gave you access to a chatbot." It is sequential work from brief to accepted decision, with a clear result at every step.

stage01

Brief and process audit

We map out where the company loses time and inquiries: which processes the assistant covers, what data it needs, which channels we connect. The perimeter and requirements are aligned with your IT and security teams.

artifact task map and solution architecture

stage02

Deploying the perimeter

We install the AI engine on your server and set up access and the environment. From this point on, everything the assistant does happens inside the company perimeter.

artifact a working perimeter with no data leaving the building

stage03

Knowledge base and training

We load policies, documents, products, prices, FAQs and sales scripts. We tune the tone and language to the company — the assistant answers the way it's done at your place, not "the way it's done on the internet."

artifact the assistant answers from your documents

stage04

Integrations and channels

We connect the CRM (Bitrix24, amoCRM, Salesforce), 1C/ERP, spreadsheets and calendar. For the client perimeter — messengers, a website widget and email into a single window with a shared history.

artifact a single window and working integrations

stage05

Trial run, acceptance, support

We test on employees' real tasks and real client conversations, refine accuracy and style, and train the team. After acceptance — support and further development of scenarios.

artifact an accepted checklist and a development plan

Timelines and estimate are fixed after the brief: they depend on the size of the knowledge base, the number of integrations and the perimeter requirements. Payment is fixed for the deployment, with no token meter.

The deployment team and the security team aligning the solution architecture at a whiteboard — **stage 01** the architecture is aligned with your IT and security teams before work starts

FAQ

Frequently asked questions

Does company data go to OpenAI or other external services?

No. We deploy the corporate version on your own server — in your data center or on a machine controlled by your IT team. Documents, conversations and personal data are processed inside the perimeter and never leave for external AI providers. Data stays in-country — the foundation for meeting the requirements of the Russian data-localization law (152-FZ) on personal-data localization.

How is this different from ChatGPT that employees already use?

A public chat does not know your policies, prices and processes — and by using it, employees leak corporate data outside, bypassing security. A corporate assistant is the opposite: it is trained on your knowledge base, answers in your voice and works inside your perimeter. It is a secure ChatGPT alternative for the company, approved by security rather than banned by it.

How much does deployment cost?

We quote the price after the brief — it depends on the size of the knowledge base, the number of integrations and the perimeter requirements. The pricing model is fixed: you pay for the deployment and stages of work, not for tokens or the number of conversations — costs do not grow with the load.

What are the deployment timelines?

Timelines depend on the size of the knowledge base, the integrations and your internal approval procedures — we name the exact plan together with the estimate after the brief. Work proceeds in stages, and each stage closes with a verifiable artifact: architecture, deployed perimeter, assistant on your documents, integrations, acceptance.

Which CRMs and systems does the assistant integrate with?

Bitrix24, amoCRM, Salesforce, 1C/ERP, Google Sheets, calendar, payment services. The assistant saves contacts, keeps conversation history and lead statuses, schedules meetings and sets tasks. The set of integrations is fixed during the brief to match your processes.

Does the assistant work only with employees, or with clients too?

With both perimeters. The internal one — answers to employees from the knowledge base and company documents. The external one — omnichannel work with clients: Telegram, WhatsApp, a website widget, email in a single window, lead qualification for the sales team, handing the manager only the hot ones. The human is always in charge: as soon as a manager joins the conversation, the assistant steps back, and money and important decisions are always escalated to people.

An AI assistant for employees: answers from your knowledge base, data never leaves the building