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Case Study

RPA: anti-money laundering has a new partner

ABSTRACT
Through RPA technology, we automate the Anti-money laundering process of a well-known Italian Private Banking Institution, reducing errors and optimizing data collection and validation.

Where: italy
Challenge
The Bank's objective was to streamline the AML process, eliminating the accumulation of backlog practices and eliminating the rework due to errors during the data collection phase.
Approach
Our Client is a Private Banking Institution, part of a large Italian Banking Group, with over 6,000 private bankers, over 700,000 customers and €220 billions of funds managed. Recently, it identified the need to streamline specific processes and, at the same time, to free up the centralized anti-money laundering unit from activities related to the research and collection of data needed for the Anti Money Laundering (AML) evaluation of its customers. This is a people-intensive, repetitive and time-consuming activity (from 40 to 60 min for each procedure), where collected data comes from multiple information providers.
Digital Ecosystem
Wealth & Commerce
Solution
Digital Ecosystem
Wealth & Commerce
To meet our client's needs, Engineering D.HUB, our company for outsourcing and Cloud migration services, developed an "attended" RPA solution, based on NICE technology. Specifically, we provided three pools of robots that, starting from a small set of information provided by operators belonging to the AML Office, carry out all activities for the collection of data from multiple information provides: data access, research, collection and storage. By arranging the pool of robots in 3 separated groups, according to the different kinds of information providers, we have optimized database access allowing to elaborate a higher number of procedures. Because of such impacts, the solution has been extended also to other business groups and process areas.
Results

 

 

 

 

Around 400 evaluations per month

 

 

Zero error margin

 

 

Reduced risk assessment time, from 60 to 2 minutes

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Markets
Ecosystems

Impacts

AI-Driven Value

Project Teams
  • Robotic Process Automation We guide the development of a valuable Robotic Industrialization Office through our team of accredited professionals, which ensures structured governance with a smart methodological approach.
  • Engineering D.HUB It is the partner for outsourcing and transition to Cloud services, offering methodological standards and a technological and services platform to support digital transformation in the various Engineering market sectors.
Technologies

Intelligent Process Automation (IPA)

Intelligent automation enhances the human component, transforming work and business interactions.

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