New predictive intelligence helps financial institutions identify emerging-payment risk and focus outreach by channel and timing
Malvern, Pa. – (September 3, 2026)—AKUVO, a provider of modern collections technology for banks, credit unions, and fintechs, today announced two new data models, Propensity to Pay and Channel Engagement, built to help financial institutions act earlier on payment risk and engage account holders more effectively.
Together, the models help financial institutions move from broad collections strategies to more targeted, data-informed decision making. Collections leaders can use these insights to refine segmentation strategies, automate routine activity with greater confidence, prioritize limited collector resources, and align outreach programs to portfolio needs. Because the models feed directly into the AKUVO Platform, institutions can incorporate these signals into their existing Playbooks while gaining visibility into performance through AKUVO iQ.
“Collections teams need enough warning to change an account’s direction and enough engagement intelligence to make every outreach attempt count,” said Mike Orsomarso, SVP, Data and Analytics at AKUVO. “Propensity to Pay and Channel Engagement models give teams practical signals they can build directly into their strategy, helping them decide where to focus and how to connect.”
These additions reflect AKUVO’s continued investment in predictive intelligence and decision-ready insights for financial institutions. Combined with the Severity of Delinquency data model, behavioral signals from across the AKUVO Platform give organizations the context they need to make more informed decisions throughout the collections lifecycle.
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