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Tristate Collaborative Webinar - From Application to Advocacy: AI Decisions That Power Smarter Member Journeys

Apr 16 1:00 PM - Apr 16, 2026 2:00 PM
Apr 16, 2026 1:00 PM - 2:00 PM
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Description

Most credit unions treat underwriting as a checkpoint. The best ones treat it as a foundation. But the real strategic opportunity goes further: building a single system of intelligence that learns continuously from every loan decision, member interaction, and portfolio outcome, and turns that learning into competitive advantage that compounds over time.

In this session, we show how a production-ready AI decisioning layer transforms underwriting from a transactional function into the connective tissue of a smarter institution. The same engine that evaluates applications faster and more accurately can also power prequalification, embedded fraud detection, exposure and limit management, targeted cross-sell and bundled offers, early warning signals, and enhanced auto lending. When these capabilities share a common system of intelligence rather than operating as disconnected point solutions, the institution stops carrying the weight of compiling insights across silos and starts making decisions that improve on their own. We will share concrete metrics from live credit union deployments and explain the governance mechanics that keep lifecycle decisioning explainable, auditable, and regulator-ready, without sacrificing speed or member experience. 

You will hear from Howard Heinrich, SVP Consumer Lending at CoVantage Credit Union, on what his team is building and what they are learning along the way.

Agenda

Key Takeaways:

  • The Lifecycle Playbook. A clear map of AI-powered decisioning use cases across prequal, fraud, cross-sell, limit management, and retention, showing how they plug into your existing LOS and CRM, and why integration, not accumulation, is what separates a lasting strategic advantage from a collection of point solutions.

  • Continuous Learning in Practice. How post-origination signals and portfolio outcomes feed back into pricing, limit-setting, and early-warning models so your system of intelligence actively improves over time, moving approval rates and loss rates in the right direction simultaneously and reaching members who would have been declined under rigid score thresholds.

  • Governance Without the Friction. The audit trails, fair-lending checks, automated bias monitoring, and operational controls you need to run lifecycle decisioning in a regulator-ready way, with a unified view that satisfies board-level accountability without piecing together a fragmented picture from disconnected systems.

Additional Info

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Webinar

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