Answer customer chats automatically using your own documents

AI reads your uploaded documents and answers customer chat questions with accurate, sourced information.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"customer sends chat message"]:::trig s0["search uploaded documents"]:::task s1["customer receives reply"]:::task trig --> s0 gx{"× relevant info found"}:::gate s0 --> gx p00["ai writes sourced answer"]:::task gx -->|"info found"| p00 p10["ai says cannot help"]:::task gx -->|"no info found"| p10 jn{"○ reply sent"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"accurate answer to customer question"/]:::out pay{{"faster support without more staff"}}:::pay s1 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Chatbots & AssistantsKnowledge Base & RAGCustomer Support & Ticketing
Connects
Bitrix24QdrantGoogle Gemini

The problem it solves

Your support team answers the same questions again and again because customers can't easily find the answer in your documentation. Hiring more staff to cover chat around the clock isn't realistic.

Who it fits

A support or sales team that gets repetitive customer questions and has documentation already written down.

How it works

  1. A customer sends a message in your chat channel
  2. The system searches your uploaded documents for the most relevant information
  3. AI writes a natural answer based on what it found
  4. If nothing relevant exists, it says so instead of guessing
  5. The customer receives an accurate reply in the chat, day or night
What you get

Questions answered straight from your own documentation

Customers get accurate answers pulled from your own documentation any time of day, with no wait for a team member.

What you get

Instant, document-grounded answers to customer chat questions.

What you need

A Bitrix24 account, a Qdrant vector database, and a Google Gemini API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Back to the AI Playbook