Automatically send AI requests to the right model and flag risks

Routes each AI request to the most cost-effective model and flags risky or low-quality answers for review.

How the work actually flows

It branches. Exactly one path is taken.

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

flowchart TD trig(["scheduled AI request handling"]):::trigtime s0["review request complexity"]:::task s1["check response quality and risk"]:::task s2[("store flagged responses")]:::store trig --> s0 s1 --> s2 gx{"× is request simple or complex"}:::gate s0 --> gx p00["send to lower-cost model"]:::task gx -->|"simple request"| p00 p10["send to premium model"]:::task gx -->|"complex request"| p10 jn{"○ response generated"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"requests routed at right cost with risks flagged"/]:::out pay{{"lower AI costs without losing quality control"}}:::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 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 Systems
Connects
Anthropic ClaudeOpenAIGoogle Sheets

The problem it solves

If your team uses AI heavily, sending every request to the most expensive model wastes money on simple tasks, while risky answers can slip through without anyone checking them. You need a way to keep costs down without giving up quality control.

Who it fits

Businesses or teams running high volumes of AI requests who want to control costs and catch bad answers before they go out.

How it works

  1. A new AI request comes in on a schedule
  2. The system reviews how complex the request is
  3. Simple requests go to a lower-cost AI model, complex ones to a premium model
  4. The response is checked for quality, bias, and compliance risk
  5. Flagged responses are stored for your team to review
What you get

Requests handled by the right AI model

Every AI request gets routed to the most cost-effective model automatically, with risky or low-quality answers flagged and stored for review.

What you get

AI responses handled at the right cost level, with risky answers set aside for human review.

What you need

Accounts with Anthropic and OpenAI, plus a place to store validation results such as Google Sheets.

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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