Many clients who eventually default on their loans show early warning signs of difficulties well in advance when they still can be reversed. To prevent that, you have to spot these issues first.
Automate client monitoring
With our early warning signs system, you don't need to manually check each client's credit position. The module monitors it through conditional triggers that activate and flag clients when specific criteria are met.
Identify difficulties with AI
Our machine learning model analyses historical data, real-time indicators, client behaviour, and external factors to precisely determine the current credit position.
Set and configure triggers
Early warning signs system gives you full freedom of customisation. Add, remove, and edit triggers, specify data sources, define rules, set check frequency, and apply different triggers for different segments.
Go from reactive to proactive credit management
Find and analyse individual cases
Search and filter activated triggers by date, client ID, branch, and other parameters. View each client's trigger activations, historical events, and visualised position.
Turn plans into action
Develop action plans to prevent financially viable clients from defaulting. Assign plans such as grace periods, debt restructuring, or pricing revision to specific cases.
Centrally manage the process
Set progress status and create workflows for each flagged case. Coordinate cooperation between departments and manage client communication from a single control panel.
Monitor and improve pre-emptive strategies
Analyse process performance
Visualise metrics, analyse overall portfolio evolution, and filter data for different segments to measure the effectiveness of your Early Warning System action plans. Improve your risk management strategies.
Share results
Generate reports and distribute them to all stakeholders. Add comments to all graphs and export results for use with third-party business intelligence tools.
Cover all aspects of credit monitoring and risk management
With early warning signs, you can quickly identify risky clients, take appropriate pre-emptive actions, and improve them over time.
Integrate data
Connect Early Warning System with bank systems to obtain parameters used by triggers, including:
Loans information
Credit Data
Default behaviour
Collateral data
Past EWS trigger data
Past EWS actions
Configure triggers
Set triggers and edit their settings:
Data source
Segment
Subpopulation
Check frequency
Alert limits and cut-off
Thresholds
Activation rules
Run EWS checks
The early warning signs software checks the entire portfolio database on demand or at a predefined frequency. Then it flags all clients that activated one or more triggers.
Analyse flagged clients
Use filters, visualisations, and lists to find and analyse clients who activated triggers. Evaluate their current position, past delinquency and triggers, and factors that led to recent trigger activation.
Define and execute action plans
Create custom action plans to rehabilitate clients who show early signs of difficulties.
Create and manage workflows
Set and update statuses
Carry out communications between branches
Engage with the client
Handle back-office operations like recovery or litigation
Assess and report
Evaluate the effectiveness of your Early Warning System and action plans based on portfolio data. Generate reports and share data with stakeholders.
End-to-end credit platform
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