A collection management system should turn delinquency data into prioritized, policy-driven work: identify delinquency, segment customers, select strategies, create work queues, record contacts, capture payments or restructuring, and escalate to litigation when criteria are met.
Strategy-driven collections
Separate the rules for how each case should be handled based on delinquency stage, risk, payment history, balance and institutional policy.
Work queue & case management
Allocate work transparently with SLA, status, case notes, contact history and decision reasons.
Omnichannel contact
Support institution-approved channels such as phone, SMS, email or digital channels, with consent and policy controls appropriate to the context.
Restructure & litigation handoff
When normal collection is no longer sufficient, hand the case to restructuring or legal processes without losing case history.
Frequently asked questions
How is collection different from litigation?
Collections focuses on resolving delinquency through servicing and recovery activity; litigation handles formal legal case and enforcement processes.
Should AI be used in collections?
AI can help summarize information, prioritize cases or suggest next actions, but it should operate under approved rules, review and data controls.
Should collections integrate with LMS?
Yes. Outstanding balances, payments and delinquency events are core inputs to collections.