Research AI Privacy Policies → Extract Key Terms → Generate Compliance Report
Automatically research and analyze privacy policies of AI writing tools to understand how they use personal data, then generate executive summaries for decision-making.
Workflow Steps
Airtable
Build privacy policy database
Create an Airtable base to track AI writing tools with fields for company name, privacy policy URL, last updated date, key findings, and risk level. Import a starter list of major AI writing platforms.
Claude
Analyze privacy policy content
Use Claude to read and analyze each privacy policy URL. Create a prompt that extracts key information: data usage, consent requirements, opt-out procedures, and identity usage policies. Format results for easy comparison.
Make (formerly Integromat)
Automate policy monitoring
Set up Make automation to check privacy policy URLs monthly for changes, trigger Claude analysis when updates are detected, and update Airtable records with new findings.
Google Docs
Generate executive summary reports
Use Google Docs templates to automatically compile quarterly reports summarizing privacy risks, recommended actions, and policy changes across all monitored AI tools. Include risk ratings and recommended responses.
Workflow Flow
Step 1
Airtable
Build privacy policy database
Step 2
Claude
Analyze privacy policy content
Step 3
Make (formerly Integromat)
Automate policy monitoring
Step 4
Google Docs
Generate executive summary reports
Why This Works
Combines AI analysis with automated monitoring to stay ahead of privacy policy changes, enabling proactive rather than reactive privacy management.
Best For
Enterprise privacy compliance and risk assessment for AI tools
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