Rainbird
  • 🏃‍♂️Getting started
    • What is Rainbird?
    • How does Rainbird work?
    • Example use cases
      • 📈Investment suitability assessment
      • 🤖Digital tax consultant
      • 🏥Covid risk assessment
      • 🚗Insurance claims liability
      • 💰Fraud identification
    • Hosting options
    • Quickstart guide
    • Onboarding with Rainbird
  • 🧠Knowledge Modelling
    • What is knowledge modelling?
    • What is a query?
    • Modelling
      • Concepts
        • Concept instances
      • Relationships
        • Question Configuration
        • Rules
          • Match, Infer, Ask process
          • Expressions List
      • Facts
      • Datasources
      • Other features
        • Markdown
        • Import/Export Knowledge Maps
      • Troubleshooting Tips
    • Testing
      • Manual tests
      • Automated tests
      • External User Acceptance Testing (UAT)
    • Versioning
    • Publishing
      • API Management
      • Setting a live version
      • Publishing an agent
    • Stats and Reporting
    • Managing your data
    • The library
      • How to: update a template
  • 🔍Evidence
    • What is evidence?
    • The Evidence Tree
      • The Salience Chart
  • 👩‍💻Developer guides
    • Overview
    • API Guide
      • API request flow
      • Run example queries
      • Environments
      • Error codes
      • Skipping an answer to a question
      • Retrieving a full Evidence Tree for use with a custom UI or application
      • Building an Evidence Tree URL
    • API interactive documentation
    • SDKs
  • Rainbird Labs
    • Overview
    • Consult
    • Generate from documentation
    • Co-author
    • /interact
    • /explain
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  1. Getting started
  2. Example use cases

Investment suitability assessment

Last updated 1 year ago

Use case: This tool automates the assessment of a persons suitability to different investment approaches. Find out more in our .

End-user: Investment Manager

Solution: Rainbird was integrated into a CRM system. At the click of a button, detailed information about a client is sent to Rainbird for scoring. The suitability of each investment approach, complete with an audit trail, is updated in the clients CRM record.

Expertise: The knowledge map replicates the expertise of an investment manager, unified across the team to ensure high-quality and consistent decisions are given. This considers the clients risk profile, financial circumstances and ability to weather losses amongst other factors.

Data: Expertise is stored in the knowledge map, client-specific data is injected into Rainbird at runtime.

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Case Study