Financial Institutions

Maximize consumer lifetime value with our advanced suite of dynamic machine learning models

Attunely can optimize your interaction strategies at every point in the credit cycle, from loan servicing to pre-charge off delinquency.

One billion consumer interactions and counting

Our expanding breadth of de-identified data on debtor behavior enables our models to make prescriptive insights that are individually tailored to each account and its unique set of evolving circumstances – all without the need for personally identifiable information.

The result? Increased consumer lifetime value and net promoter score ratings, better agent productivity, higher right-party contacts, and more.

Dynamic Scoring Models

Why Machine Learning?

Behavioral Models Yield Substantial Predictive Power Over Traditional Credit-Based Models

Machine learning is the application of modern algorithms to the historical accounts you’ve already worked. Our economic and behavioral models analyze your existing database to create new recovery strategies based on what’s worked in the past.

How It Works

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Ingest Historical Data

Connect the Attunely machine learning engine to your existing system of record to analyze the debtor accounts you've already worked. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform.

Integrate Attunely Into Your Existing Workflow

Use the Attunely platform to filter and prioritize accounts, and 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.

Tune Economic & Behavioral Models for Your Portfolios

We tune a series of proprietary machine learning models to match the historical performance of your portfolios and accounts. Different types of debt use different machine learning models. Each account is individually analyzed and scored across dozens of dimensions.

Data Exchange & Integration

Consultative ETL process to extract historical de-identified data from your existing system of record and transfer it to your 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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Data Analytics & Insights

Use the Attunely platform to filter and prioritize accounts, run custom queries, build reporting dashboards, and create account segments. Consult with Attunely’s revenue recovery and ARM experts and data scientists 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.

Custom Model Deployment & Tuning

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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Harris & Harris Improves Collections with Dynamic ML Scoring & Segmentation

Case Study

Credit Collection Partners Taps Attunely’s Machine Learning to Drive Increased Recoveries

Case Study