What is Early Warning? Loxon’s early warning system is a risk monitoring application providing efficient support to your credit monitoring activity. The main goal of EWS is to identify possible threats in retail or non-retail credit portfolio (in early stage) and to support the Bank to take the necessary measures on time furthermore, it supports the managing of non-performing cases with built in automatic and manual workflows.


  • Collect all relevant data from your source systems for Early Warning calculation
  • Support the controlled manual data (e.g. qualitative information) capture
  • Schedule recurring events (customer visit and phone calls, manual control of watch-listed cases etc.)
  • Provide you full-scale parameterization so that you can change the models and the qualitative questionnaires later on
  • Calculate different types of signal values and determine signal flags
  • Calculate Probability of Default with statistical prediction methods (scorecards)
  • Send different levels of signals (warnings, alerts)
  • Execute Root cause analysis, identify and display the possible root causes
  • Assign customers to the appropriate risk classification buckets or customer segments
  • Provide you the opportunity to overwrite the classification result manually in a controlled way
  • Support monitoring review from customer
  • Support the escalation process and the pre-workout phase Generate documents for decision making (Breach report, Classification proposal etc.)

Main advantages

Why early warning?

Loxon’s early warning system supports the human workflow processes of different monitoring activities, including manual decisions, customer relationship, root cause analysis, etc.

With the early warning supported credit monitoring system you will be able to avoid unnecessary credit losses, predict the customer’s actions and even to generate new business for well performing customers.

Ultimately, with the Early Warning System you will become more competitive and profitable.

Loxon’s early warning system can be implemented either integrated with other elements of Loxon’s retail lending system, Loxon’s corporate lending system or to Loxon’s collection system or even as a standalone solution.

Our valued customers

  • Reference logo for ECR, a client of Loxon
  • Reference logo for ERSTE BANK, a client of Loxon
  • Reference logo for EGYPTIAN ARAB LAND BANK, a client of Loxon
  • Reference logo for CIB Lízing, a client of Loxon
  • Reference logo for CMSS, a client of Loxon
  • Reference logo for CIB Bank, a client of Loxon
  • Reference logo for BRD, a client of Loxon
  • Reference logo for BYBLOS, a client of Loxon
  • Reference logo for Banque Libano, a client of Loxon
  • Reference logo for BBK, a client of Loxon
  • Reference logo for Bank al Ethiad, a client of Loxon
  • Reference logo for Bank Audi, a client of Loxon
  • Reference logo for BCRS, a client of Loxon
  • Reference logo for Air Bank, a client of Loxon
  • Reference logo for ADIB, a client of Loxon

How does Early Warning work?

The early recognition of potentially problematic exposures or clients could be based on the up-to-date prediction of the probability of default (PD), using a behavioural approach. The prediction model could be expert-based or statistical. For low-default portfolios there are also statistical techniques that could be used to imply the PD’s (e.g. based on rating migration matrices

Obviously, any statistical model requires a thorough backtesting (incl. root cause analysis, EWS signal significance tests) and an expert based validation (plausibility checking, reject inference considerations). The major advantage of a behavioural concept is that the discriminatory power of it (i.e. how well the model can differentiate between good and bad customers in advance) significantly outperforms the strength of a purely application data based rating or scoring system.

The simple reason for this is that a behavioural model can incorporate all the precious information generated after the origination (e.g., account balance history, changes in availability information, latest financial data, industrial outlook, rating path).

Based on the forecasted PD, you can identify the most profitable way of customer relationship management. The business goal is to select the action type which would cause the largest increase in the expected profit or in similar customer value measures, calculated on the basis of the expected reduction in the PD, lengthened customer lifetime and the cost of the treatment.

In many cases, you will experience an improvement in the creditworthiness of the client (a decreasing PD predicted by the behavioural model). In these cases a X-sell or up-sell action could generate the maximum profit. The expert-based prediction system evaluates several signals concerning every client based on the available quantitative and qualitative data and on the parameterized signal rules.

The statistical system evaluates the applied scoring function (linear, logit or probit) at the given input parameters and suggests the optimal action.

The Loxon Early Warning System can support the escalation process and the pre-workout or any other optimized (segment-based) customer management workflow, customized to your specific needs. The System will historically register all the actions taken by the Bank and the reactions of the customer.

The list of problematic clients (and information about the clients) can be produced quickly and efficiently with the help of the reporting module. The reports can easily be customized and new reports can be added with a minimum requirement of human resources.

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