Run a personal AI assistant that qualifies leads and inquiries

A conversational AI assistant that chats with prospects, answers questions, and stays on message using your own information.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig>"visitor sends a message"]:::trig s0["Pull profile and conversation history"]:::task s1["Select and polish best response"]:::task s2["Send reply to visitor"]:::task trig --> s0 s1 --> s2 gx{"+ which agent drafts a reply"}:::gate s0 --> gx p00["draft response"]:::task gx -->|"agent one"| p00 p10["draft response"]:::task gx -->|"agent two"| p10 jn{"+ compare drafts"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"on-brand reply sent to prospect"/]:::out pay{{"consistent first response without staffing"}}:::pay s2 --> 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 stepEvery pathWaits for allResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGDocument Processing & OCR
Connects
OpenAI

The problem it solves

Answering the same questions from prospects or job inquiries over and over takes time away from actual work, but ignoring messages means missed opportunities. You want a consistent, on-brand response without staffing someone to chat all day.

Who it fits

Solo consultants, freelancers, or small business owners who need a reliable first point of contact for leads or inquiries.

How it works

  1. A visitor sends a message through your chat
  2. The system pulls your profile and past conversation history for context
  3. Multiple AI agents draft possible responses based on that context
  4. A reviewing step selects and polishes the best response
  5. The finalized reply is sent back to the visitor
What you get

Prospect conversations that keep moving around the clock

You get a responsive AI assistant that chats with every prospect right away, keeping conversations warm using your own material.

What you get

A relevant, on-brand chat reply sent to the prospect, with the conversation logged for follow up.

What you need

A database for conversation history, a vector store for your documents, and an OpenAI 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

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