Loan delinquencies are rising. Collections teams are stretched thin. And the traditional queue-based model – manual calls, static prioritization, and batch outreach – is no longer effective.
This guide breaks down why leading credit unions and community banks are replacing legacy collections workflows with Agentic AI – and what it means for recovery rates, cost, compliance, and member experience.
Inside the guide, you’ll find:
• Why 85%+ of outbound collections calls never reach a borrower – and what to do instead
• A head-to-head comparison of manual vs. AI-driven collections across 10 operational dimensions
• An ROI framework with real calculations sized for a $1B-asset institution (spoiler: the math points to ~20x return)
• The KPI benchmarks your team should be tracking today
• A 30-day self-diagnostic to assess where your operation stands

Why traditional queue-based collections are failing - and how static workflows, low contact rates, and rising costs are holding institutions back.

Understand how autonomous, multi-channel AI prioritizes accounts, personalizes outreach, and continuously optimizes recovery in real time.

Quantify the impact across recovery, cost reduction, early intervention, and compliance - with a model you can apply to your own portfolio.
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