Assess quality risk with AI and route it for human approval

Analyzes quality incidents with AI, then routes high-risk ones to a person for approval before anything ships.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Parallel Split (2) · Synchronisation (3) · Exclusive Choice (4)

flowchart TD trig>"quality event detected or reported"]:::trig s0["AI agents analyze risk"]:::task s1["Combine into risk assessment"]:::task s2["Send outcome to team"]:::svc trig --> s0 s0 --> s1 gx{"× is the risk high"}:::gate s1 --> gx p00["Route to person for approval"]:::task gx -->|"High risk"| p00 p10["Proceed without review"]:::task gx -->|"Low or moderate risk"| p10 jn{"○ before notifying team"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"Risk assessment with high risk reviewed"/]:::out pay{{"Faster triage with human safety net"}}:::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 stepAn outside serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSecurity & Compliance
Connects
ClaudeGmailSlack

The problem it solves

When a quality issue comes up, figuring out how serious it is and what to do next can be inconsistent depending on who looks at it first. You need a process that catches real risk fast, without skipping the human judgment that matters most for the serious calls.

Who it fits

Quality managers, compliance officers, and risk analysts in manufacturing, healthcare, or service businesses.

How it works

  1. A quality event is detected or reported into the system
  2. AI agents analyze traceability, risk level, and recall implications at the same time
  3. The results are combined into a single risk assessment
  4. High-risk events are routed to a person for approval before any action is taken
  5. The outcome is sent to your team by email and Slack
What you get

Risk calls a person still signs off on

High-risk quality events get analyzed and sent to the right person for a final decision before anything moves forward.

What you get

A risk assessment for each quality event, with high-risk cases held for human sign-off before anything moves forward.

What you need

An Anthropic Claude API account, a Gmail account, and a Slack workspace.

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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