Banking and FintechCustomer OnboardingReal Case

Assignment of risk level and customer category within KYC processes at customer onboarding

Development

x3 faster

IMPLEMENTATION TIME

x2.4 less

DEVELOPMENT COSTS REDUCE

x3 higher

FLEXIBILITY
Business

x9 less

COSTS REDUCE

2h1 min

PROCESS EXECUTION TIME

x1.3

INCREASE IN SALES
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Issue

A small bank provides services to individuals using tariffs that depend on the customer’s risk level and category. The risk level and category are assigned to every client as part of the KYC process during customer onboarding.

This process involves the following steps:

  • Client verification according to internal databases and bank’s blacklists, identification of persons related to the client;
  • Initial risk assessment;
  • Client verification via external databases (terrorists, sanctions, PEP, etc.);
  • Client assessment in terms of bank requirements compliance and the final risk level and category assignment.

Various departments of the bank manually performed database queries to complete the required checks and then entered the obtained information into the KYC software for the final risk level calculation.

Such a manual process could take several hours. At the very beginning of its activity, the bank was content with such labor costs. However, with the growth in the number of clients, it faced a need to automate KYC processes and attain greater flexibility in setting risk assignment rules.

Goal

The client turned to ProcessMIX with a need to:
  • automate the customer onboarding process;
  • be able to quickly and flexibly change the algorithms for assigning the client risk degree and category without the need to involve the IT department and/or a software vendor.

Solution

Visual ProcessMIX tools allowed the bank to set up integrations with internal and external data sources. The client’s risk level and category are assigned using scorecards, decision trees, and rulesets.

As a result of ProcessMIX use, the client’s customer onboarding process has become fully automated:

  1. ProcessMIX receives customer setup data;
  2. ProcessMIX initiates data requests from the internal bank’s systems
  3.  Primary analysis is done based on rulesets;
  4.  If there are no grounds for refusal, ProcessMIX requests the necessary data from external systems.

ProcessMIX in Action

Data analysis tools used at this stage are: 

  1. scoring card for assigning the client’s risk level and category;
  2. rulesets for determining the possibility of cooperation with the client;
  3. a decision tree to determine the level of decision-making based on the possibility of cooperation with the client if it is impossible to determine the refusal/approval.

Summary:

x3 faster

IMPLEMENTATION TIME

x2.4 less

DEVELOPMENT COSTS REDUCE

x3 higher

FLEXIBILITY

x9 less

COSTS REDUCE

2h1 min

PROCESS EXECUTION TIME

x1.3

INCREASE IN SALES

As a result of using ProcessMIX, the bank managed to achieve the following performance improvements: 

  • A fully automated customer onboarding process takes no more than 1 minute and depends on the availability of external integration services;
  • Staff can change the system’s settings and add new rules and scorecards without the involvement of IT specialists. At the same time, the convenient ProcessMIX interface allows quick changes and rule configurations. 
  • Implementation took 3 months. 

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