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Financial advisory and cross-selling automation

This workflow automatically analyzes member financial data to identify cross-selling opportunities and delivers personalized product recommendations through multiple channels. It enhances member relationships while increasing product adoption and revenue per member.

Workflow Trigger

Member logs into online banking or completes a significant financial transaction above threshold

Visual Flow

Each node represents an automated step. Connections show how data and decisions move through the workflow.

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

  1. 1
    Trigger

    Member activity detected

    System detects member login to online banking or processes a transaction exceeding predetermined threshold amount. Member data is pulled for analysis.

  2. 2
    Action

    Analyze member financial profile

    AI system analyzes member's account balances, transaction history, loan portfolio, and demographic data to build comprehensive financial profile. Risk assessment and opportunity scoring are calculated.

  3. 3
    Decision

    Evaluate cross-selling opportunities

    Decision engine determines if member qualifies for specific products based on financial health, credit score, and existing relationships. Workflow branches based on identified opportunities.

  4. 4
    Action

    Generate personalized recommendations

    AI creates tailored product recommendations with specific terms, rates, and benefits relevant to member's financial situation. Content is customized for delivery channel preferences.

  5. 5
    Action

    Schedule advisory consultation

    System automatically books appointment with appropriate financial advisor based on recommendation complexity and member tier. Calendar integration and member notification are handled automatically.

  6. 6
    Action

    Deliver multi-channel outreach

    Personalized recommendations are delivered through member's preferred communication channels including in-app notifications, email, SMS, or direct mail. Follow-up sequences are scheduled automatically.

  7. 7
    Output

    Track engagement and outcomes

    System monitors member response rates, appointment attendance, and product adoption. Performance data is logged for continuous optimization of recommendation algorithms.

Outputs

  • Personalized product recommendations delivered to qualified members
  • Scheduled financial advisory appointments
  • Multi-channel marketing campaigns with tracked engagement

Key Metrics

  • Product adoption rate
  • Revenue per member
  • Advisory appointment conversion rate
OA

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