How a Riyadh-Based Bank Reduced DPD Ratios Using AI-Powered Bank Debt Collection Management Software
Client Background: A Riyadh-Based Bank's Path to Automated Debt Collection
Rising Days Past Due (DPD) ratios are one of the most persistent challenges facing retail and commercial banks in Saudi Arabia. As loan portfolios grow and regulatory expectations under SAMA tighten, manual and semi-automated collection processes struggle to keep pace. A mid-sized bank headquartered in Riyadh faced exactly this problem: rising early-stage delinquencies, inconsistent follow-up, and limited visibility into portfolio risk. This case study outlines how the bank adopted bank debt collection management software from Beveron Technologies to reduce DPD ratios, improve recovery timelines, and bring measurable structure to its collections operation.
The Challenge: Rising DPD Ratios and Fragmented Collection Workflows
The bank's collections team relied on spreadsheets, disconnected call logs, and manual case assignment to manage overdue accounts. This created several operational gaps:
- No centralized system to track DPD buckets (0–30, 31–60, 61–90+ days)
- Delayed customer follow-up due to manual case allocation
- Limited audit trail for SAMA compliance reporting
- No predictive visibility into which accounts were likely to roll into higher DPD stages
As overdue accounts increased, the bank's average DPD ratio climbed above internal risk thresholds, prompting leadership to evaluate a dedicated bank debt collection management software platform rather than continuing to patch existing manual processes.
For banks facing similar challenges, this blog on the best debt collection software in Saudi Arabia for banks, finance companies, and enterprises outlines the core capabilities to evaluate before selecting a platform.
The Solution: Beveron Smart Debt Collection Software
The bank selected Beveron Technologies' Smart Debt Collection software to consolidate its collections operations into a single, automated platform. The solution was chosen for its ability to combine AI-based risk scoring with structured workflow automation, both critical for reducing DPD ratios at scale.
Key capabilities that addressed the bank's specific gaps included:
- AI-powered risk scoring — automatically segments accounts by default probability, allowing early-stage delinquencies to be prioritized before they escalate
- Automated case allocation — routes accounts to the right collection agent or channel based on DPD bucket, account value, and customer history
- Omnichannel communication — integrates SMS, IVR, email, and call center workflows into a single case view
- Real-time dashboards — gives collections managers live visibility into DPD trends by branch, product, and agent
- Compliance-ready audit trails — logs every customer interaction and payment action, supporting SAMA reporting requirements
This combination allowed the bank to move from reactive, manual follow-up to a structured, risk-prioritized collections model.
Implementation Approach: How the Rollout Was Executed
Beveron implemented the platform in a phased approach designed to minimize disruption to ongoing collections activity:
- Discovery and data mapping — Beveron's team mapped the bank's existing loan portfolio structure, DPD definitions, and core banking data fields.
- System integration — the platform was integrated with the bank's core banking system via API, enabling real-time data sync for account status and payment updates.
- Workflow configuration — collection workflows were configured by DPD bucket, with automated escalation rules for accounts crossing 30, 60, and 90-day thresholds.
- Agent training and pilot rollout — a pilot group of collection agents was onboarded first, allowing the bank to validate workflows before a full rollout.
- Full deployment and monitoring — the platform was rolled out bank-wide, with Beveron providing ongoing monitoring and configuration support during the first 90 days.
The Results: Measurable Reduction in DPD Ratios
Within the first two quarters of deployment, the bank recorded the following outcomes:
- 32% reduction in early-stage (0–30 day) DPD ratio
- 28% faster average recovery time on overdue accounts
- 45% increase in agent productivity due to automated case allocation
- 100% audit trail coverage for SAMA compliance reporting
- Real-time DPD visibility across all branches, replacing manual weekly reporting
These results reflect a shift from reactive collections to a proactive, data-driven operating model, directly supported by the platform's AI-based prioritization and workflow automation.
"Moving to Beveron's platform gave our collections team the visibility we didn't have before. We're now addressing risk earlier instead of chasing it after the fact." — Collections Operations Lead, Riyadh-based bank
A Similar Transformation in Another Market
Reducing overdue account ratios through automation is not unique to Saudi banks. A comparable outcome was achieved in this case study on how a Mumbai NBFC cut overdue EMIs by 42% using payment collection software, where risk-based prioritization and automated follow-up produced results similar to those seen at the Riyadh-based bank.
Frequently Asked Question
What is bank debt collection management software?
Bank debt collection management software is a digital platform that automates the tracking, prioritization, and follow-up of overdue loan accounts. It replaces manual spreadsheets and call logs with centralized workflows, AI-based risk scoring, and compliance-ready audit trails.
How does bank debt collection management software reduce DPD ratios?
It reduces DPD ratios by identifying at-risk accounts earlier through predictive scoring, automatically routing them to the right agent or channel, and enabling faster follow-up before accounts roll into higher delinquency buckets.
Is bank debt collection management software compliant with SAMA regulations?
Beveron's Smart Debt Collection platform maintains a complete audit trail of customer interactions and payment actions, supporting the documentation and reporting standards required under SAMA guidelines.
How long does implementation typically take?
Based on this case study, full implementation—including data mapping, system integration, workflow configuration, and pilot rollout—was completed within one quarter, with measurable DPD improvement visible by the second quarter.
Can bank debt collection management software integrate with existing core banking systems?
Yes. Beveron's platform integrates with core banking systems via API, allowing real-time synchronization of account status, payment updates, and customer data without disrupting existing infrastructure.
Debt Collection Automation Beyond Saudi Arabia
Regulatory and operational requirements for collections vary by market. Banks evaluating similar platforms outside Saudi Arabia can refer to this guide to debt collection software for banks in Turkey, which outlines how comparable platforms are adapted to different regional compliance frameworks.
Ready to Reduce Your Bank's DPD Ratios?
Every quarter of delayed action on rising DPD ratios adds measurable cost to a bank's balance sheet. The question isn't whether automation can help—it's how much recovery time and revenue your institution is currently leaving on the table.
Talk to Beveron's team to see how a similar rollout could work for your portfolio—visit www.beveron.com or email info@beveron.com.
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