• Credit Scorecard

    Measure credit worthiness, optimise the process and mitigate risk in relation to customers and suppliers. The app dedicated to processes for approving credit applications, administration, finance and auditing, and risk management.

Business challenges

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What is the level of risk associated with the customer and how can I efficiently and flexibly define acceptance grids for consumer credit?

 

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How do I protect the organisation by defining a rating system to assess the credit risk of customers and suppliers?

 


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How can I integrate credit strategies into my processes by harnessing Artificial Intelligence?

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How can I minimise the risk of insolvency accurately and intelligently?

 

An effective solution to your needs

When evaluating customer credit, loan or mortgage applications, it is important to remember that the quantity and range of data available for assessment of credit worthiness is constantly growing, making it difficult for companies to process, interpret and harness this data.
Furthermore, these businesses must constantly keep up to date on the latest trends in credit scoring in order to maintain a competitive advantage in terms of credit quality.

To automate evaluation processes, reduce costs and improve efficiency, we have created Credit Scorecard, an Artificial Intelligence app that optimises the credit process through a powerful decision-making engine capable of harnessing the most advanced Machine Learning algorithms, reducing the time between development and generation of credit strategies.
This tool guarantees accuracy, flexibility and efficiency, enabling various legacy procedures to gain the benefits of the most advanced AI tech.

Unique benefits of Credit Scorecard

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Perfect integration of usage of external and internal databases regarding customer behaviour and profiles. This fully harnesses data within the company, combining it with external sources. Even when you think information is insufficient, we are able to extract the value from it.
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Flexibility and speed in handling:

  • acceptance grids;
  • business rules;
  • rating system;
  • calculation of Probability of Default (PD);
  • Decision-making engine: once the rules are developed, they are put into production (by linking them to a credit approval system). Changing the rules according to business needs is easy: it is possible to manage independently the way acceptance grids act based on business needs and tolerated risk;
  • categorisation of customers/suppliers/capital goods.

Areas of application

  • Financial services
  • Manufacturing
  • Retail
  • Show more

Processes

Credit Approval

Risk Management

Administration, Finance and Auditing

The benefits of choosing us

  • Speeding up the credit process between training, validation and passage into production;
  • accurate assessment and minimisation of supplier or customer credit risk;
  • maximum flexibility and rapid implementation of new credit strategies.

Successful cases

Banking

With more than one third of its accounts requiring credit lines every year, a credit-union bank wanted to implement a more efficient approval process. In particular, the customer wanted to improve the level of support in relation to bank accounts that included personal credit lines for consumers and businesses. Previously, bank managers assessed each credit application they received, trying to take the right decision for the organisation and its members based on the information available. And for existing credit lines, the same personnel had to assess existing credit limits annually to determine whether they should be renewed or updated. It was therefore necessary to accelerate and simplify the decision-making process for critical accounts. Now, an automatic response is received for requests, which do not have to wait for office opening hours. The results were rapid: 50% of credit applications are now checked and approved without human intervention, and ten full-time employees can be reassigned to other duties, saving thousands of Euro every year and providing quicker responses to customers of the bank.

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