A data-driven guide for credit union & community bank leaders ready to modernize delinquency management with AI

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

What’s inside?

The broken model

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

How agentic AI works

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

The ROI framework

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

“The only way we’re going to compete with AI fraudsters is to combat it with AI itself. With interface.ai’s industry-unique authentication approach, we are now using the same type of security technology as the Mastercards and Visas of the world – in our own contact center. “

Todd Link  | Chief Risk Officer

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