Cloud-native collections software provider AKUVO has struck a new deal with credit data giant TransUnion, embedding the latter's delinquency and collections scoring directly into AKUVO's AI-driven platform.
The move gives lenders — including banks, credit unions, and fintechs — a richer picture of borrower risk without leaving the AKUVO environment. By pulling in TransUnion's scoring models, institutions can build smarter queuing strategies, sharpen account segmentation, and better prioritize which borrowers to contact first based on actual recoverability likelihood.
Smarter Decisions, Less Manual Work
Rather than toggling between separate systems, collections teams will now have enriched risk signals baked directly into their daily workflows. The integration taps into TransUnion's OneTru platform, which provides GLBA and FCRA-compliant data feeds — meaning institutions can act on more accurate, connected insights while staying within regulatory boundaries.
Steve Castagna, Chief Growth Officer at AKUVO, said the demand for data-driven collections strategies has never been stronger: "Our customers will have the insights they need to deliver better account holder experiences more efficiently and improve business outcomes."
John Padilla, VP of Platforms and Alliances at TransUnion, added that the collaboration is part of a broader push to make TransUnion's solutions accessible to lenders of all sizes: "Together with AKUVO, we're empowering lenders with modern tools that enhance decision making and support more proactive, consumer-focused approaches to collections."
Expanding the Data Ecosystem
The partnership is the latest in a series of integrations AKUVO has pursued to modernize collections operations. The company's platform already leverages AI, machine learning, and natural language processing — and TransUnion's scoring layer adds another dimension to its predictive capabilities.
For financial institutions still relying on manual processes or fragmented data sources, the integration offers a practical path toward more proactive portfolio management.