What if you could spot financial strain before it became financial loss? DefaultSleuth uses behavioral signals across loans, deposits, and transactions to surface early warning signs, so teams can act sooner, reduce charge-offs, and protect member relationships.
Distress shows up in member behavior weeks before a payment is ever missed. Legacy tools only see it after the relationship has already cracked.
One screen for the whole book: portfolio risk, prioritized queues, and explainable drivers. No more spreadsheet-based reporting.
Behavioral risk intelligence across loan, deposit, and spending patterns. Flags strain before delinquency and separates self-cures from likely defaults.
Smart workflows: 360° member and loan view, automated routing and dispositions, integration with your outreach partners.
Explainable insights: an AI assistant for instant answers, portfolio and product trend dashboards, and the top drivers of risk, executive-ready.
Map loans, deposits, and transactions. Validate definitions and success metrics with your team.
Generate risk signals and explainable drivers to identify where intervention will matter most.
Work risk-ranked queues, record actions, and standardize execution across the lifecycle.
Track outcomes, identify what's working, and refine strategy with portfolio-level visibility.
Behavioral AI scoring and full lifecycle collections management, standalone or together.
Worked in DPD order, collector time spreads across every delinquent account, including the majority that would resolve on their own. Ranked by risk × exposure, the same team concentrates on the loans where action actually changes the outcome.
Queues ranked by risk and exposure, not by days past due.
Earlier, better-targeted intervention on the accounts that drive losses.
Absorb portfolio growth with the team you already have.
Prevention isn't the only place the model earns its keep. On balances that do charge off, DefaultSleuth improves what comes back: earlier contact reaches members while options still exist, risk-ranked queues point collector effort at the dollars most likely to return, and structured dispositions mean no account falls through the cracks. Recovered dollars are tracked in-platform as Total Balance Saved.
Every portfolio is different. These figures are directional, not a promise. In a demo, we model both levers against your actual charge-off and recovery history so the business case is yours, not a hypothetical.
We surface risk before a payment is missed, so support starts early, not after damage is done.
Earlier means fewer fees, fewer credit hits, and more flexible paths to stability.
A check-in, not a collections call, aligned with the credit union mission.
No. The model is the engine, but DefaultSleuth is a full platform: risk-ranked work queues, structured dispositions, a 360° member and loan view, and portfolio dashboards, from detection through recovery.
Loan, deposit, and transaction extracts from your core. We start with a minimum viable dataset and expand signals over time. CU*Answers and Jack Henry / Symitar environments are supported.
DefaultSleuth complements your core and outreach stack. What it replaces is spreadsheet-based tracking and manual reporting, not the systems your team relies on.
Yes. DefaultSleuth is SOC 2 Type 2 attested, data is encrypted in transit and at rest, and models never use protected-class attributes. Full security documentation is available for due diligence.
“Fall in love with the problem, not the solution.”
A 30-minute demo against real workflows: detection, queues, and the reporting your board asks for.