AI in Credit Risk Management

Get the most important decisions right and minimise risk

Making the right credit decision is the most important thing to a lending business. The comprehensive, structured data set in our platform enables multiple AI use cases to help ensure the right decision is made as efficiently as possible. AI lifts all lenders, but especially less experienced personnel who benefit most from help with credit analysis, capturing of data, risk modelling and even the evaluation process - including compliance with lender policy. Our AI use cases deliver real efficiency improvements for a lender, whilst helping mitigate risk and improve compliance.

Capability areas

Application verification Support a lender by sourcing content and validating data entry to detect incomplete or incorrect information.
Credit Analysis Digesting the wide range of data from demographic to financial statement to limit requests in the system and creating a deal sheet.
Data Feature Labelling Use both raw and derived data to optimise model building and analysis that ensures a lender can leverage their competitive advantage.
Content creation Capturing complex data inputs and preparing sophisticated analysis and modelling can be done at scale with high levels of accuracy.
Approval criteria Credit approvers can ask AI to evaluate if an application meets all the lender's policy and procedures, complies with regulations and is going to the right approval authority.

Our Advantages

  • Leading data scientists able to help with all manner of AI implementation
  • Deep experience with both traditional and alternative data for optimal decision making
  • Experience dealing with third-party data across multiple countries in the world, including many of the largest providers
  • Processed millions of lending applications to date
  • Help our clients improve risk modelling capability to increase efficiency, even when capturing complex relationships across large borrowing groups

Ready to enable finance business productivity?

Join the many institutions using InfraRisk to drive their business forward.

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