Monitor AI Chatbot Conversations → Risk Assessment → Alert System

intermediate30 minPublished Mar 14, 2026
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Automatically monitor AI chatbot interactions for concerning patterns, assess risk levels, and alert appropriate teams when intervention may be needed.

Workflow Steps

1

Zapier

Monitor chatbot conversation logs

Set up a Zapier webhook to capture conversation logs from your AI chatbot platform. Configure it to trigger on new conversations or specific keywords related to concerning topics like self-harm, violence, or distress.

2

OpenAI GPT-4

Analyze conversation sentiment and risk

Use GPT-4 via API to analyze each conversation for concerning language patterns, emotional distress indicators, and potential risk factors. Create a prompt that scores conversations on a 1-10 risk scale with reasoning.

3

Google Sheets

Log risk assessments and patterns

Automatically log each conversation analysis to a Google Sheet with timestamp, risk score, key concerning phrases, and AI reasoning. This creates an audit trail and helps identify patterns over time.

4

Slack

Send alerts for high-risk cases

Configure Zapier to send immediate Slack alerts to your safety team when conversations score above a threshold (e.g., 7/10). Include conversation excerpt, risk factors, and recommended actions for quick response.

Workflow Flow

Step 1

Zapier

Monitor chatbot conversation logs

Step 2

OpenAI GPT-4

Analyze conversation sentiment and risk

Step 3

Google Sheets

Log risk assessments and patterns

Step 4

Slack

Send alerts for high-risk cases

Why This Works

Combines automated monitoring with AI analysis to catch concerning patterns early, while maintaining human oversight through alerts. Creates accountability and faster response times than manual review.

Best For

AI companies and platforms that need to monitor chatbot interactions for user safety and potential harm

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