Track AI Agent Decisions → Analyze Patterns → Generate Safety Report

Set up webhooks to capture decision data from various AI tools (ChatGPT API calls, Claude interactions, internal AI systems). Include input prompts, outputs, confidence scores, and timestamps.

Feed collected logs into a Google Sheets database with columns for decision type, AI model used, input context, output quality, alignment score, and business impact. Use filters to organize by department or use case.

Create a daily batch process that sends decision logs to GPT-4 with prompts designed to identify concerning patterns, misalignments with company values, potential biases, or safety risks.

Build a Notion database that pulls from Google Sheets to display key metrics: misalignment incidents, risk trends, affected departments, and resolution status. Include visual charts and executive summaries.

Use Zapier to automatically generate and email weekly safety reports to leadership team, including trend analysis, top risks identified, and recommended policy updates based on the monitoring data.