Use Case · AI Collections

    AI Collections.
    Higher cures, lower cost.

    Score, segment and contact every overdue account at the moment of highest impact, powered by real-time portfolio data from the core.

    Use Case · AI Collections
    The opportunity

    Turn collections from a cost centre into a growth engine.

    Most collections teams rely on rules and call lists built for a different era. Oradian's AI-native foundation gives collections leaders the data, decisioning and workflow control to treat every borrower as an individual: who will self-cure, who needs a nudge, who needs a human conversation. Models train on complete portfolio history through Database Access and trigger actions through the same APIs that run disbursements and notifications.

    What you get

    Collections capabilities, end to end.

    Self-cure prediction

    Identify borrowers likely to cure without intervention so your team can focus effort where it actually moves the needle.

    Treatment prioritisation

    Rank every overdue account by expected recovery, propensity and cost-to-contact in real time.

    Channel orchestration

    Trigger SMS, voice, email or agent outreach through the messaging module, A/B tested and continuously retrained.

    Regulator-ready

    Every contact attempt, decision and override is versioned, role-scoped and explainable to your compliance team.

    Live portfolio view

    Collections KPIs, roll-rates and recovery curves on real-time data, no overnight ETL.

    Days to deploy

    Plug in your scoring logic natively or call an external model through APIs. No re-platforming.

    Mountain landscape at sunset

    Stop calling everyone. Start collecting from the right people, at the right time.

    Talk to the Oradian team about putting AI Collections into production on your core.

    Talk to our team