Topic archive
Research and practical notes filed under this topic.
February 1, 2025
Digital debt collection uses coordinated channels such as telephone, email, text messages, and secure self-service tools to communicate about an account. For consumer-debt collectors, an omnichannel program must be designed around the Fair Debt Collection Practices Act and Regulation F, including channel-specific communication controls, consumer preferences, and validation-notice requirements.
Read the analysisJanuary 13, 2025
AI can improve a legacy debt management system when it is introduced as a controlled support layer rather than an autonomous decision-maker. A durable design keeps the system of record authoritative, applies deterministic communication and compliance controls before any action, and preserves evidence for review. For consumer collections, the appropriate controls depend on the organization, account type, jurisdiction, and applicable law.
Read the analysisDecember 28, 2024
Collection organizations can respond to staffing pressure by assigning routine work, exception handling, and consumer-facing judgment to the right mix of people, technology, and qualified providers. A durable model treats compliance, security, clear escalation, and measurable service quality as operating requirements rather than after-the-fact checks.
Read the analysisDecember 28, 2024
AI can help collections teams route accounts, offer self-service, and reduce routine administrative work, but it does not remove the rules that apply to consumer communications. A responsible program puts consumer preferences, contact controls, human escalation, testing, and audit records ahead of message volume.
Read the analysisDecember 28, 2024
AI can help collection teams organize account data, prioritize work, and support routine service tasks, but it does not remove the need for accurate records, trained staff, or compliance controls. This guide explains how to design automated debt collection workflows with human review, communication safeguards, audit trails, and attention to U.S. federal and state requirements.
Read the analysisApril 5, 2018
AI can help collection teams handle defined, repeatable tasks and give live agents more time for exceptions, disputes, and complex conversations. Its value depends on accurate account data, clear escalation paths, testing, and controls that preserve applicable consumer protections.
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