Build a private AI chatbot that keeps your data in-house

A self-hosted AI chatbot handles support and sales questions while keeping every conversation on your own systems.

How the work actually flows

It branches. Exactly one path is taken; a person is alerted when a step fails.

Pattern: Exclusive Choice (4)

flowchart TD trig>"customer message arrives"]:::trig s0[("pull conversation history")]:::store s1["route to topic"]:::task s2["generate AI reply"]:::svc s3[("log the exchange")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 gx{"× was question resolved"}:::gate s3 --> gx p00["end conversation"]:::task gx -->|"resolved"| p00 p10["escalate to Slack"]:::task gx -->|"unresolved"| p10 p00 --> out p10 --> out out[/"AI reply or human escalation"/]:::out pay{{"private compliant AI support"}}:::pay out --> pay esc(("Alerts a person")):::human s2 -. "if it fails" .-> esc esc -.-> out 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 stepAn outside serviceA personA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
AI Chatbots & AssistantsMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook IntegrationDevOps & IT Operations
Connects
OllamaGroqSlackGoogle Sheets

The problem it solves

You want the convenience of an AI chatbot for support and sales questions, but sending customer conversations to outside AI companies raises real privacy and compliance concerns. Off-the-shelf chatbots also cannot remember context or escalate tricky questions to a real person. You need something that feels smart without giving up control of your data.

Who it fits

Businesses in regulated or privacy-sensitive industries that need AI support without exposing customer data.

How it works

  1. A customer message comes in with a session ID
  2. The chatbot pulls up the conversation history for context
  3. The message is routed to the right topic: support, sales, or general
  4. AI generates a reply, and every exchange is logged
  5. Unresolved questions are escalated to a human in Slack
What you get

Customer chats answered without leaving your own systems

Handle support and sales conversations with a private AI chatbot that keeps every exchange on your own systems and hands off tricky questions to your team.

What you get

AI chat replies for customers, a full conversation log, and Slack escalations when a human is needed.

What you need

A self-hosted or private Llama AI setup (such as Ollama, Groq, or Together AI), a Slack workspace, and a Google Sheets account.

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

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