Detect abuse signals and trigger enforcement actions automatically

AI reviews incoming abuse reports, scores the risk, and alerts your team or takes action automatically.

How the work actually flows

It branches. Exactly one path is taken; a person is alerted when a step fails.

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

flowchart TD trig>"abuse report received"]:::trig s0["score severity with ai"]:::svc s1["check against policy rules"]:::task s2[("log case and outcome")]:::store trig --> s0 s0 --> s1 gx{"× is the case high risk"}:::gate s1 --> gx p00["alert security team on slack and email"]:::task gx -->|"high risk"| p00 p10["skip alert"]:::task gx -->|"low risk"| p10 jn{"○ resume logging"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"risk score and case logged"/]:::out pay{{"faster response to violations"}}:::pay s2 --> out out --> pay esc(("Alerts a person")):::human s1 -. "if it fails" .-> esc esc -.-> out 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 serviceA personA 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 SystemsEmail AutomationMessaging & NotificationsAPI & Webhook IntegrationSecurity & Compliance
Connects
OpenAISlackGmailGoogle Sheets

The problem it solves

You can't review every abuse report the moment it comes in, so serious violations sit in a queue while your team catches up. By the time someone gets to it, the damage may already be done.

Who it fits

Platform trust and safety teams, content moderation managers, or compliance officers.

How it works

  1. A new abuse report or signal comes in automatically
  2. AI reviews the behavior and scores how severe it is
  3. The case is checked against your policies for violations
  4. High-risk cases alert your security team on Slack and by email
  5. Every case and outcome is logged for records
What you get

Risky behavior your team hears about first

You get abuse reports scored for risk automatically with your security team alerted the moment something serious shows up.

What you get

A risk score, a logged case record, and an alert or automatic enforcement action for serious violations.

What you need

An OpenAI account, a Slack workspace, a Gmail or SMTP account, and 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

Related automations

Automatically flag privacy risks and generate compliance reports

AI reviews data usage events for privacy risk, alerts your team, and logs the findings for audits.

Advanced

Automatically review and route legal policy submissions

AI reviews submitted policies, checks compliance, and routes approvals to Slack, Gmail, and Google Sheets automatically.

Advanced

Score property compliance risk and alert your team automatically

Scores each property record for compliance risk and automatically alerts the right person by email or Slack, then adds it to your tracking sheet.

Advanced

Automatically analyze new regulations and route compliance actions

New legislation gets read by AI, assessed for impact, and routed to the right team automatically.

Advanced
Back to the AI Playbook