State of AI in debt collection: 2026 trends and priorities

There’s no shortage of AI predictions, vendor promises, and pilot projects. What’s harder to find is an honest view of how lenders are putting AI into practice: where they’re seeing value, where they’re getting stuck, and what it takes to move forward responsibly.

In this report, you’ll see:

• Why so many AI initiatives stall between pilot and production
• The data, governance, and architecture foundations making scalable AI possible
• Practical use cases banks are prioritizing now, from collector assist to QA, strategy, and workflow automation
• How to use AI to reduce admin and improve consistency while retaining human judgment for consequential customer interactions
• What needs to be in place before expanding into autonomous customer-facing AI
• How to build an AI roadmap that matches your organization’s maturity, risk appetite, and operational priorities
  

Fill out the form to get a clearer, more practical perspective on where collections AI software is headed and how to make it work in the real world.