Prioritize the right cases
Use risk segmentation, delinquency movement and behavioral signals to focus virtual and human collection effort where it can have the greatest impact.
An AI-driven digital collections platform for financial institutions that need stronger recovery, better prioritisation, automated customer engagement and auditable control across the collection lifecycle.
Collections teams often work across disconnected loan systems, spreadsheets, dialers, messages and legal processes. Collections AI brings case allocation, Customer 360, AI recommendations, virtual collection, promise-to-pay tracking, predictive analytics, legal workflow and audit controls into one connected operating layer.
The platform is designed to help banks, finance companies, fintechs and collection teams focus human effort where it matters while automating high-volume, repeatable engagement and control activities.
Classify cases by risk profile, DPD movement, behavioral signals and likelihood of recovery so teams can prioritise effort dynamically.
Recommend the appropriate message, timing, channel and intervention based on case context and collection strategy.
Automate reminders, conversations and follow-ups across WhatsApp, SMS, email and voice, with human handover when escalation conditions are met.
Capture PTP commitments, monitor due dates, detect broken promises and trigger the appropriate follow-up or escalation workflow.
Track activities, capacity, queue performance and allocation so supervisors can balance human effort with AI recommendations.
Bring products, exposure, payment history, interaction history, behavioral context and risk indicators together for faster agent decisions.
Forecast recovery by segment, monitor portfolio movement and identify early warning signals when performance is moving off target.
Manage legal triggers, evidence, action history, role-based traceability and management or compliance reporting from the same operating layer.
Collections AI can ingest and exchange data through APIs, webhooks, batch files and scheduled processing, supporting integration with LOS, LMS, ERP, payment and customer platforms. The operating model is designed for Saudi financial-services environments, including connectivity patterns for ecosystem services such as SIMAH and Sadad where required.
Collection intelligence is not treated as a black box. The platform supports model-performance monitoring, drift alerts, prediction-error analysis and feedback loops from agent overrides, payments, next-best-action outcomes and risk-classification updates.
Map the current data sources, allocation logic, channels, PTP process, legal triggers and reporting gaps. We can then identify where AI and automation can create the fastest operational return.
Collections AI helps banks, finance companies and fintechs prioritize delinquent accounts, orchestrate outreach, manage promise-to-pay commitments and give supervisors a controlled view of recovery performance.
Use risk segmentation, delinquency movement and behavioral signals to focus virtual and human collection effort where it can have the greatest impact.
Coordinate reminders and follow-up across WhatsApp, SMS, email, voice and agent channels with escalation and human handover.
Track PTP status, workload, legal escalation, model performance, agent actions and management reporting in one operating layer.
Yes. The platform is designed for API, webhook and batch integration with lending, servicing, ERP and enterprise data sources.
No. The model balances virtual collection with human handling and supervisor escalation based on risk, customer response and policy.
Predictive analytics can provide segment-level recovery projections, portfolio movement and early warning indicators to support strategy decisions.
Connect this capability with Zollal's risk, collections, regulatory, customer-data, treasury and AI solutions for Saudi financial institutions.