What is a corporate AI assistant
A company AI assistant is a personalized "ChatGPT for your organization" trained on your internal documents, regulations, processes. It answers employee and customer questions based on your data, not generic internet knowledge.
Key difference from public ChatGPT: knows your company specifics. Knows your formal/informal tone, departmental structure, customer history, your product specifics.
What an AI assistant gives the company
For employees
- Instant answers to regulation questions — "how to file a business trip request?"
- Search across corporate knowledge base — all contracts, orders, instructions in one chat
- Document help — generation of email templates, contracts, presentations in company style
- Onboarding new employees — AI mentor in first week of work
For customers (if exposed to website/messenger)
- 24/7 support based on your knowledge base (no fabrications about other products)
- Personal recommendations based on purchase history
- Order placement via dialog
For executives
- "Show product X sales for the quarter by manager" — answer in 5 sec from 1С
- Automatic weekly digest on company KPIs
- Operational risk analysis based on current data
How we build corporate AI
- Discovery — what data exists, who'll use, what tasks to solve
- Data collection — from Bitrix24, Notion, Google Drive, corporate Wiki, 1С
- Cleaning & indexing — unify format, chunk, vector DB (pgvector/Pinecone/Qdrant)
- RAG architecture — query → semantic search → top-K docs → LLM
- Interface — Slack/Teams bot, portal widget, web/mobile app
- 2 weeks pilot testing — internal group validates quality
- Launch + training — onboarding for staff, usage docs
Corporate data security
- Tier 1: Cloud LLM with DPA — data goes to OpenAI/Anthropic API. By agreement, not used for training.
- Tier 2: AWS Bedrock / Azure OpenAI — same models in Frankfurt/Bahrain region. KZ data residency compliance.
- Tier 3: Self-hosted — Llama 3.3 70B on our GPU server in Almaty. No data leaves perimeter.
Pricing & timeline
| Tier | Capabilities | Timeline | Price (USD) |
|---|
| Pilot | RAG on 1 source, Slack bot | 3–4 weeks | From $2,600 |
| Standard | Multiple sources, web + Slack + Teams, analytics | 6–10 weeks | From $7,500 |
| Enterprise | + self-hosted, SSO, audit, custom roles, SLA | 3–5 months | From $26,000 |
FAQ
What's best for corporate AI: GPT, Claude or Llama?
For general corporate tasks — GPT-4o or Claude 3.5 Sonnet. For finance/medical with data residency requirement — self-hosted Llama 3.3 in Kazakhstan.
How much data is needed to launch?
Minimum — 50 documents. Optimal — 500+. The more structured data, the smarter the assistant.
Can access be restricted — manager shouldn't see HR data?
Yes. We implement role-based access control: assistant sees only documents accessible to specific user. Active Directory / Azure AD / SSO integration.
Related: ChatGPT, RU, KZ.