Teach your AI chatbot a specific decision-making framework

Your AI chatbot learns a specific reasoning method, like a negotiation or analysis framework, and applies it to every question.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("team member asks a question")):::human s0[("look up reasoning rules")]:::store s1["match rules to question"]:::task s2["generate answer using framework"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"answer following specific framework"/]:::out pay{{"consistent expert level reasoning"}}:::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
A stepA personA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAG
Connects
OpenAIInfraNodus

The problem it solves

You know exactly how you want your team or your AI tools to approach a certain type of problem, whether that's closing a negotiation or evaluating an investment, but explaining that method to every new hire or every AI response takes constant repeating. You need a way to bake your playbook into how answers get generated, not just what they say.

Who it fits

Business owners who want an AI assistant to consistently apply a specific decision-making method or company playbook.

How it works

  1. A team member asks the AI assistant a question through chat
  2. The assistant looks up the relevant reasoning rules from a stored knowledge map
  3. It matches those rules to the question being asked
  4. The AI combines the reasoning method with the original question to generate its answer
What you get

Answers shaped by your own reasoning framework

Your chatbot applies your chosen decision-making framework consistently to every question it answers.

What you get

A chat response that follows a specific, predefined reasoning method instead of generic AI logic.

What you need

An OpenAI API key and a knowledge graph subscription to store your reasoning rules.

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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