Not hype — metrics
LLM makes sense where you can measure: response time, share of tickets closed without a human, less time searching policies.
1. First-line support
A chatbot in Telegram, on the website, or in Bitrix24 answers common questions. Complex cases escalate to an operator. Savings: 20–40% of tickets in an early pilot (depends on FAQ quality).
2. RAG over documents
"Smart search" across PDFs, wiki, policies. A manager asks a question — the system cites the source. Critical to configure access control and not send sensitive data to the cloud without policy.
3. Sales drafts
LLM prepares a draft email or proposal from a template and CRM data. A human edits — not the other way around.
4. Ticket classification
Automatic routing of inbound requests by topic and priority — less manual sorting.
5. Telegram Mini Apps + AI
Light UI in Telegram for orders or status, backend with AI hints — see Mini Apps.
Where to start
One scenario pilot, 4–6 weeks, KPIs defined before launch. We build turnkey AI solutions.
Discuss an AI pilot — we pick scope without "magic for the slide deck".