Quantcast
  • FinTrU
  • CLIENTE:
  • FinTrU
  • INDÚSTRIA:
  • Bancária
  • LOCALIDADE:
  • United Kingdom

60%

increased efficiency in document annotation 

FinTrU, a global leader in client lifecycle management for banks and wealth managers, was looking to optimize their KYC process. They needed to improve how they extract and analyze data from large, unstructured documents at scale to deliver a perpetual KYC approach that ensures up-to-date client data and compliance with global regulations while delivering high-quality services. 

By leveraging Bizagi workflows, combined with OCR, and AI, they developed TrU Label, an automated system that enhances accuracy, reduces risk, and streamlines KYC. Bizagi orchestrates the workflow to drive efficiency, reduce human error, and enables FinTrU to scale operations without linear staff growth. Bizagi manages a ‘maker-checker’ system where AI handles initial document processing, while human annotators validate and refine the AI’s work. This innovative approach lowers risk, saves time, and enhances FinTrU’s capacity to manage client data dynamically. 

Objectives:

  • Optimize the KYC to improve speed and quality 
  • Remove manual effort while reducing operational and regulatory risk
  • Integrate AI for data extraction while including humans to check for errors 
  • Automate document queuing for annotation and quality control 
  • Operate with agility and at scale  
  • Reduce costs 

Achievements:

  • KYC automation, resulting in quicker client outreach 
  • 60% increase in process efficiency through TrU Label 
  • Maker-checker paradigm implemented for AI to ensure accuracy  
  • Consistent process to guarantee compliance 
  • Ability to scale-up refresh efforts and adapt process to meet changing regulations  
  • Faster ROI than traditional methods thanks to automated data updates 
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