January

Optimizes debt collection rates while maintaining high borrower satisfaction through machine learning, compliance automation, and personalized borrower engagement.
Debt Collection Optimization Compliance Automation Customer Experience Management

January is a digital debt recovery platform that uses machine learning to optimize debt collection rates while maintaining high borrower satisfaction. With a tech-enabled, empathetic approach, January empowers creditors to recover debts more quickly and efficiently while minimizing reputational, compliance, and operational risks for creditors and borrowers.

January's platform is built with the human in mind, prioritizing transparency, compliance and borrower engagement. Some of the key benefits include:

  • Higher Recovery Rates: January creditors recover more than the national average.
  • Compliance Automation: Reduces risk by ensuring regulatory compliance.
  • Real-Time Auditing: Gives creditors visibility into every interaction on every account.
  • Personalized Approach: Treats borrowers as more than just an account number, leading to better collections and better creditor reputations.

January serves lenders and debt buyers of unsecured consumer loans, including credit cards, personal unsecured loans and deposit accounts. By engaging borrowers on a personal level, the platform enables creditors to increase revenue while protecting their reputation and ensuring compliance.

The platform includes a client portal for account management, offering real-time insights into performance and borrower interactions. Integrations are fast and easy, taking less than two weeks to complete. Compliance and security are also top priorities, with January being SOC 2-compliant and having a comprehensive information security program to protect client data.

January's approach has resulted in industry-leading borrower satisfaction, making the debt recovery process more efficient and respectful for all parties involved.

Published on August 3, 2024

Related Questions

Tool Suggestions

Analyzing January...