Case Study 1:

Description of Problem:

KYC: The bank required information from external sources to be entered into a legacy system and information to be extracted from this system to be entered into another system.

  1. There was no mouse-control available for this legacy system.
  2. This legacy system cannot be connected to any other I.T. applications easily, as there was no more support from original vendor of this software.
  3. The bank’s internal IT team estimated that it would probably take at least 3 full months with 2 full-time staff to attempt to do back-end integration. However, if users want to change any of the fields, it will take a long time to re-configure it.

How Gleematic software helps:

  1. Gleematic robot was able to log on to various external portals automatically do the KYC checks (e.g. Factiva).
  2. Gleematic robot was also able to extract data from I.T. applications used in the bank and enter into the desired portal for KYC.
  3. The outcomes of the KYC checks were then entered into the legacy system by Gleematic robot.

Expected manpower saving per year = 0.5 full-time employee/ year

Challenges:

  1. Web portals were sometimes slow to load and run into errors at times. Various “exception handling” scripts were set up to address different types of scenarios. For example, Gleematic robots were set to look out for a certain image to ascertain if the page has loaded. In another scenario, a sub-script was activated when Gleematic encounters a specific error message.
  2. The legacy system could only be controlled with keyboard strokes, and sometimes did not show the updates promptly. We managed to overcome this via using image-recognition technology.

Benefits:

  • Shorter Time of completion: Gleematic cognitive automation works up to 5 times faster than humans.
  • High Accuracy: Almost 100% accurate. There would be no human-errors of missing data, uploading wrongly, or having duplicated files in the archival process.
  • FTE Saving: ~3 to 4 FTEs
  • Saves precious hours of humans: As the human-users would only have to monitor the robot’s progress, he/she can spend most of his/her time on other more important things.
  • Reduced stress on staff: As the staff (humans) need not attend to this mundane and repetitive yet detailed work, they would have less stress and be more motivated to do other value-added jobs.  

Description of Client:

The client is a large regional bank, with a focus on trade finance and corporate banking.

Industry: 

BFSI (Banking)

Case Study 2:

Description of Problem:

  • KYC: When generating blacklist results on customers, bank-officers have to include inputs from another data source and go through different selections on the system page.
  • Remittance: A lot of effort is required to ensure that the funds are checked and sent correctly to the recipient’s account before posting the associated report to the in-house system. There were many reports to process and human error rate can be high due to the eye-balling effort required. 
  • Decrypt, edit and encrypt documents to be sent out:  The bank’s staff have to go through tedious steps of decrypting hundreds of documents individually on a daily basis. After that, these documents had to be edited with information coming from another source. The edited documents are re-encrypted subsequently to be emailed out to end customers. 

How Gleematic software helps:

  1. Gleematic was able to log on to various external portals automatically to do the KYC checks (e.g. Factiva).
  2. Gleematic was also able to extract data from other I.T. applications used by the bank and enter the desired fields automatically on the KYC portal. The data can be from PDF or Excel too.
  3. The outcomes of the KYC checks were then automatically entered into the legacy system (e.g. AS400, Silverlake) by Gleematic.
  4. Gleematic could automatically verify accuracy of reports by checking against a different system. The details of the linked reports are then automatically entered into their final system by Gleematic with high accuracy.
  5. Gleematic was able to open encrypted documents by entering the decryption password. Gleematic was also able to edit the document with information from other data sources and automatically encrypt the document again with the same password.
  6. The final encrypted documents were then automatically uploaded to their email client and an email is sent to the relevant parties as stated in the documents.

Challenges:

  1. As there was no mouse-control available for legacy system, it was very time-consuming to set up steps to interact with it.
  2. A lot of effort was required to screen new and existing customers to ensure that all the regulations are adhered to before the commencement of any business.
  3. The bank’s documents contained extremely sensitive data and did not allow for mistakes or data leaks to be made. Thus, additional time was spent on doing multiple checks.

Benefits:

  • Shorter Time of completion: Gleematic cognitive automation works up to 5 times faster than humans.
  • High Accuracy: Almost 100% accurate. There would be no human-errors of missing data, uploading wrongly, or having duplicated files in the archival process.
  • FTE Saving: ~3 to 4 FTEs
  • Saves precious hours of humans: As the human-users would only have to monitor the robot’s progress, he/she can spend most of his/her time on other more important things.
  • Reduced stress on staff: As the staff (humans) need not attend to this mundane and repetitive yet detailed work, they would have less stress and be more motivated to do other value-added jobs.  

Description of Client:

Headquartered in an ASEAN country, this banking client provides services to clients across the Asian region. The client was a large regional bank, with a focus on trade finance and corporate banking. This bank serves clients in major global financial centres, in addition to those in ASEAN.

Industry: 

BFSI (Banking)