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Automate Investment Risk Monitoring with Qwen-Max AI, Slack & Email Alerts

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Created by: Cheng Siong Chin || cschin

Cheng Siong Chin

Last update

Last update 3 days ago

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How It Works

Automates financial risk evaluation by intelligently consolidating information from five critical sources: financial, operational, legal, insurance, and regulatory systems. Hourly triggers enable continuous, AI-driven risk assessment using the OpenRouter Chat Model, producing dynamic risk scores while simultaneously identifying emerging compliance gaps and potential exposure areas. High-risk findings automatically initiate corrective actions, trigger secondary investigations, and send real-time alerts through Slack notifications as well as investor email updates. Designed for financial institutions, compliance teams, risk managers, and investment firms, it provides continuous, scalable, and fully data-driven monitoring of risk across complex regulatory and operational environments.

Setup Steps

  1. Configure hourly/daily schedule trigger.
  2. Authenticate all five data APIs.
  3. Set OpenRouter credentials.
  4. Configure Slack webhook.
  5. Set Gmail for email distribution.
  6. Define risk thresholds and compliance rules.

Prerequisites

OpenRouter API key, five data source APIs, Slack access, Gmail account, investor contacts

Use Cases

Banking risk audits, insurance compliance monitoring, portfolio risk tracking

Customization

Swap AI models, modify data sources, adjust thresholds

Benefits

90% faster risk assessment, eliminates manual aggregation