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Recurly Integration

Enterprise subscription analytics power AI agents for complex billing optimization.

Why Recurly + Finsi?

Recurly provides robust billing infrastructure, but turning that data into automated growth requires intelligent orchestration. Finsi's AI agents leverage Recurly data to automatically identify opportunities, predict risks, and execute retention strategies that scale with your business.

Real-Time

AI agents react instantly to Recurly events

Intelligent

ML models trained on your specific data

Automated

24/7 execution without manual work

What We Pull from Recurly

Subscription Analytics

  • Revenue Recognition
    ASC 606 compliant reporting and forecasting
  • Churn Analytics
    Voluntary and involuntary churn patterns
  • Dunning Performance
    Recovery rates by strategy and segment
  • Plan Performance
    Which plans drive growth vs. churn

Advanced Billing

  • Usage Billing
    Consumption patterns and overage management
  • Add-ons & Coupons
    Promotional effectiveness and margin impact
  • Trial Conversion
    What drives trial to paid conversion
  • Invoice Analytics
    Payment terms and collection efficiency

What You Can Achieve

Optimize Complex Pricing Models

AI tests and recommends ideal pricing structures.

Reduce Involuntary Churn by 35%

Smart dunning that preserves customer relationships.

🤖 AI Agents Powered by Recurly

Finsi deploys specialized AI agents that continuously analyze your Recurly data to identify patterns, predict outcomes, and automatically execute growth strategies. No more manual analysis or delayed responses—just intelligent automation that scales with your business.

Technical Integration Details

Connection Method

REST API with webhook support

Data Sync Frequency

Real-time streaming + batch sync every 5-30 minutes

Security

OAuth 2.0 authentication with read-only permissions

Compliance

GDPR, CCPA, SOC 2, and HIPAA compliant

Turn Recurly Data into Automated Growth

Deploy AI agents that leverage your Recurly insights for 24/7 revenue optimization.

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