Run an AI chatbot for support and log every chat automatically

An AI agent answers customer support chats and posts a full transcript to your team channel for oversight.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5) · Transient Trigger (23)

flowchart TD trig>"new customer message received"]:::trig s0["AI drafts reply"]:::task s1[("log to team channel")]:::store trig --> s0 gx{"× agent takes over"}:::gate s0 --> gx p00["send AI reply"]:::task gx -->|"AI continues"| p00 p10["agent replies manually"]:::task gx -->|"agent intervenes"| p10 jn{"○ reply sent"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"support chats answered and logged"/]:::out pay{{"faster support with full visibility"}}:::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 stepA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGMessaging & NotificationsReporting & AnalyticsCustomer Support & Ticketing
Connects
IntercomDiscordOpenAI

The problem it solves

Support tickets pile up faster than your team can respond, and it's hard to know what your chatbot is telling customers without digging through logs. You want fast answers for customers without losing visibility or control over what gets said.

Who it fits

Support teams who want AI to handle routine chats while staying able to monitor and step in.

How it works

  1. A new customer conversation starts in your support inbox
  2. An AI agent reads the message and drafts a reply
  3. Every message, human or AI, gets logged to a dedicated team channel
  4. A support agent can pause the AI and take over any chat instantly
  5. The customer receives an answer, and the team keeps a full record
What you get

Chats a person can step into anytime

Customers get instant answers from an AI agent while your team watches every conversation and can take over at any moment.

What you get

A live, searchable conversation log alongside automatic customer replies.

What you need

An Intercom account, a messaging workspace for logging, and an OpenAI 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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