Proven, compliant, and trustworthy optimization technology that applies the latest advances in machine learning to make the recovery of receivables easy, seamless, and profitable.

Smart Warehouse

A compliant, cloud-based data warehouse to isolate your custom ML models

Build a unified view of every consumer in your collection database using Attunely’s managed data warehouse. Consolidate data from multiple data sources including SFTP and API integrations and export a unified consumer record via JSON or CSV. Empower your analytics team with automated data enrichment, a persistent historical event log, and built-in analytics that leverage your existing internal status and outcome codes. 


Rich, web-based user experience with powerful, flexible BI reporting and plots

Evaluate the quality of your data-driven collection strategies and workflows using Attunely’s reporting and analytics tools. Attunely reconstructs historical daily snapshots to provide a moment-in-time view of scorecard metrics, historical benchmarks, and dozens of built-in health checks. Review performance across your entire operation or drill down into the performance of individual portfolios, asset classes, and agents.

Rules Engine

Configurable rules engine to meet compliance and client business requirements

Perform automated account segmentation, powered by a web-based user interface that requires zero code or involvement from IT. Create custom rules for account monitoring, compliance checks, manual review or agent work lists, and download them directly as CSV files or via our smart warehouse integration.  

Pool Management

Tools to form collection pools, manage omnichannel strategies, and simplify workflows‍

Design and execute an optimal omnichannel contact strategy for every account using Attunely’s pool management platform. Integrating Attunely’s time-of-day and liquidation models, generate dialer-ready files that are optimized for recovery performance. Optimization happens within your agency’s portfolio-specific constraints including location, frequency, number type, and opt-in requirements.

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