Case Study

Business Context

The penalties for non-compliance to GDPR can be as high as few million euros. The compliance team of the organisation had whopping task in hand. The organisation had separate portals for each brand targeted towards multiple geography and in many different languages. This constituted around 2000+ multi page web portals across the globe with 7 different languages. There were 300 to 500 new campaigns launched every week which means changes to portals thus an on-going task of compliance. Verifying each portal took more than 3 hours for each compliance officer. It was an uphill task to do everything manually that is to complete in time and keep the quality intact.

Challenge Poised to PiChain

1. Zero non-compliance.
2. Increases Productivity.
3. Precision Recommendations.

Read the case study to see how we have done a near real time zero non-compliance, 10X increase in productivity and 97% Precision Recommendations.

Business Context

FATCA is a US Regulation requiring all non-U.S. foreign financial institutions (FFIs) to search their records for customers with indicia of a connection to the U.S and to report the assets and identities including their non-U.S. financial assets annually to the IRS. Non-Compliance of the regulation potentially carries a hefty penalty and loss of brand value which impacts all the entities in 19 counties This process is highly operational and contains a heavy financial risk.Currently it is a highly manual process, up to 120 business days are consumed to ensure compliance at every entity. Another biggest issue is Ineffective communication between different stakeholders causing delay and redundancy.

Challenge Poised to PiChain

1. Increase accuracy with compliance verification.
2. Automate FATCA non-compliance detection.
3. Enhance, Automate, and create Effective digital communication between different stakeholders, towards zero redundancy.

Read the case study to see how we have done a 7X increase in Compliance Verification accuracy, fully automated non-compliance detection and 100% automated workflow for effective communication.

Business Context

The company has a set of product offering for its retail customers. To successfully sell these product offerings there is a need to assess risk trends and predict the likelihood of late payment from customers within certain segments is a priority. Credit managers typically segment risk by sales channels, with different risk profiles in each segment depending on the risk tolerance of the individual Customers then target them with the appropriate products. Manually it is both impossible and error prone to go through millions of rows of customers data, identify hidden patterns, and, then do the mapping of right prospect with the right product(s) based on the credit risk.

Challenge Poised to PiChain

1. Identification of Right Customer Segment based on the Credit Risk.
2. Predictive Risk Assessment and Map the right customer(s) to right product(s).
3. Increase target push sales and improve ROI.

Read the case study to see how we have done a 78% increase in ROI and reduced the Credit Risk by 80%.

Business Context

A bank which was stung by a fine to the tune of $2B by US and $300M by an european nation wanted to get its house in order. To get this done it recruited a human army of analysts. The key goal was to identify the Ultimate Business Owner and his/her associations to prevent any non-compliance. The key challenges faced by the SME were as follows:-

1. Unstructured set of documents for each commercial customer to the tune of 2000+ pages.
2. They key documents needed to verify a customer may lie inside any of these 2000+ pages thus it was necessary to go through all these documents.
3. This manual activity was consuming more than 35% of the productive time of an SME.

Challenge Poised to PiChain

1. In the shortest possible time(seconds) classify each document.
2. Identify in a particular order the page number of a relevant document for eyeballing by Compliance Officer/Auditor.
3. Increase the productivity of the SME.
4. Reduce errors induced by a human analyst.

Read the case study to see how we freed 35% of the SME working hours to achieve better productivity , 81% of increase in final quality to avoid any penalty due to non-compliance.