Thanks for your interest in Attunely. We couldn’t be more excited to start a relationship with you and explore ways to further optimize your business. Which of the following best describes your operation?
We offer a proven, compliant, and trustworthy machine learning platform and suite of optimization models built specifically for revenue recovery.
Schedule a CallPowered by more than 4 billion de-identified consumer interaction records and counting, Attunely’s machine learning platform and suite of dynamic optimization models recommend the most effective consumer outreach tactics through every phase of the servicing, delinquency, and recovery cycles. Combined with your own de-identified insights on consumer behavior and Attunely’s robust data engine and analytics package, our models are customized to deliver insights that maximize outreach strategies for your unique business. Or select our out-of-the-box Day Zero model for immediate scoring.
Co-Founder & Chief Operating Officer, SIMM Associates, Inc.
President / CEO, PayCourt
Rich source of highly structured de-identified data tagged with specific outcomes
Decades of operating history (lots of examples for ML to learn from)
Increase RPCs, collect more, send fewer letters, increase NPS, reduce talk time, etc.
Nuanced financial services expertise is required to effectively set and optimize target objectives
Phone calls, emails, letters, SMS, payment portal visits, online chats, and more
Regulatory and asset-specific requirements set strict
operational boundaries
Dynamic operational precision
Increased recoveries
Minimized execution risk
More with less
Machine learning is a term we’ve all seen a lot in recent years. It is everywhere, and it might seem like just a buzzword or marketing hype. However, when it is developed and managed by experienced data scientists and revenue recovery industry experts – which is exactly the team we have built here at Attunely – it can be a tremendous advantage. Using only de-identified interaction data, our national macroeconomic and behavioral models analyze your existing database to create new recovery strategies.
Here are the key factors:
Machine learning lives on data. The more data the models consume, the smarter they get. That includes your own de-identified data, coupled with Attunely’s proprietary de-identified consumer dataset, which is the revenue recovery industry’s largest.
Machine learning lives on data. The more data the models consume, the smarter they get. That includes your own de-identified data, coupled with Attunely’s proprietary de-identified consumer dataset, which is the revenue recovery industry’s largest.
Machine learning lives on data. The more data the models consume, the smarter they get. That includes your own de-identified data, coupled with Attunely’s proprietary de-identified consumer dataset, which is the revenue recovery industry’s largest.
A national leader in serving the unique revenue recovery needs of government clients, PayCourt partnered with Attunely to stand up a recovery solution that moved beyond static collection scores to better reflect consumer behavior and intent.
View Case Study
Harris & Harris is a longtime leader in healthcare recovery. Together, we set out to uncover hidden pockets of value and enhance their ability to apply finer-grained strategies to unique segments of accounts, while also scoring accounts with thin or non-existent credit files, something their incumbent score was unable to do.
View Case Study
Consultative ETL process to upload your historical de-identified data into a secure, custom, cloud-based Attunely server instance. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform. With a live data feed, your custom machine learning model can monitor and respond dynamically to daily shifts in consumer interactions.
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Use the Attunely platform to filter and prioritize accounts, run custom queries, build reporting dashboards, and create account segments. Consult with Attunely’s domain experts to surface unique operational insights and build custom account segments. Export them as work queues or merge the Attunely scores back into your system of record where they can be used as part of your normal operational workflow.
We build and tune a series of custom, proprietary machine learning models to match the unique needs of your portfolios and accounts. Different types of debts call for different machine learning models. Each de-identified account is individually analyzed against our global de-identified dataset and scored across dozens of dimensions.
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