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Automate Monthly Risk Reviews with Supabase & AI Tools

Automate Monthly Risk Reviews with Supabase & AI Tools

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Automate Monthly Risk Reviews with Supabase & AI Tools

Automate Monthly Risk Reviews with Supabase & AI Tools

Regular price £6.99
Regular price £6.99 Sale price
SAVE Sold out

Automate Monthly Risk Reviews with Supabase & AI Tools

Streamline your risk management process with our comprehensive n8n automation workflow designed to execute monthly risk reviews by seamlessly integrating Supabase, AI analytics, and industry-leading risk screening tools. Perfect for automation engineers and SaaS operators, this workflow minimizes manual labor while maximizing accuracy and efficiency in monitoring your portfolio's risk landscape.

What this workflow does

  • Runs on a monthly schedule, initializing the run metadata for organized tracking.
  • Retrieves active merchant and MCC (Merchant Category Codes) data from Supabase, systematically grouping merchants by MCC.
  • Employs Perplexity and Anthropic Claude to craft an MCC risk snapshot, highlighting key flags and action suggestions.
  • Writes MCC snapshots back to Supabase for efficient data aggregation.
  • Identifies high-risk merchants using Supabase and screens them via OpenSanctions, CourtListener, Apify, Tavily, and Firecrawl to gather comprehensive external signals.
  • Utilizes Firecrawl for in-depth merchant website reviews, leveraging Claude for business vertical classification and content flagging.
  • Accesses Claude and Pinecone for insights from past Risk Committee decisions, delivering a precise recommended action for each merchant directly into Supabase.
  • Analyzes portfolio trends over the past 12 months using Supabase metrics and generates narratives that capture these insights succinctly, storing them in Supabase.

Use Cases

  • For financial analysts aiming to automate monthly risk evaluations of merchant portfolios.
  • Ideal for SaaS companies or finance departments seeking a reliable system to track and address potential risk indicators in real-time.
  • Beneficial for risk management teams needing precise, data-driven recommendations and historical trend analysis for decision-making.

Technical Details

  • Integrations used: Supabase, OpenSanctions, CourtListener, Apify, Tavily, Firecrawl, Pinecone, Anthropic Claude
  • n8n Nodes implemented: Set, Code, Merge, Webhook, Aggregate
  • AI Tools: Anthropic Claude for risk analysis, Pinecone for information retrieval, and Perplexity for industry trend research.
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