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Banking & Finances

Credit Lending & Scoring

Loan in 7 minutes

Loan in 7 minutes

For:
Customers
Goal:
Improved Customer Experience, Improved Employee Efficiency
Problem addressed
Create lending products for clients of medium and large businesses (LMB) with
the shortest delivery time possible, taking into account the extremely detailed
customer profile.
Scope of use case
A completely automated solution that analyses customer behaviour and makes the best loan offers for the customer.
Description
If the client requires a loan, he fills out a short form in the
banks online system to reflect the recent changes in the
business. As soon as the client provides the necessary
information the solution kicks in.
It interacts with the internal (e.g. transactional data) and
external (e.g. credit bureaus) systems, collects all detailed
information about the client, applies algorithms based on
artificial intelligence and machine learning methods,
automatically performs risk estimation and calculates
appropriate offers for the client.
The client chooses the appropriate lending terms. The
solution calculates the interest rate, generates an electronic
version of credit documentation and sends it to the client via
the web interface.
Along with the terms of the loan, a list of legal documents that
are expected to be received from the customer for the deal to
succeed is formed. The function of a legal officer is performed
automatically by the Robot Lawyer, which does the same set
checks on client documents as a human lawyer in a standard
credit process would do.
The client signs the documentation using his electronic
certificate. The signature applied has full legal force and may
be verified automatically by a certificate authority.
The loan conditions chosen by the client are reflected in the
banks internal accounting system.
The speed of the decision making on a loan application in the
solution is unprecedented and it is an important step in the
development of corporate lending in Russia for the LMB
segment.
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NLP
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