Top 5 Global Bank Fully Automates Its Due Diligence Process with CENTRL

Case study 2024-09-25

AI Client Win

Risk Assessment

A leading US-based financial services firm operating in more than 100 global markets across investment banking, consumer and commercial banking, transaction processing, and asset management verticals.

Business Challenge:

  • Existing partner became financially unviable, making it critical to team with a new enterprise technology provider that was financially stable and able to support a global sized institution
  • Finding a platform that could support hundreds of managers and thousands of strategies across tens of thousands of questionnaires.
  • Needed a global partner that could support a large institution’s due diligence processes and obligations
  • Need to transition to a new platform quickly to meet their annual DD cycle

Solution:

  • Significant efficiencies from fully automating the ODD process covering annual and quarterly cycles with DD360
  • CENTRL’s 10-year history as enterprise technology platform, expands across various divisions/segments
  • Enterprise grade SaaS infrastructure leveraging AWS that supports the large volumes of data and usage required
  • Heavily invested in expanding platform flexibility to support complex and dynamic questionnaires and UX requirements
  • Deep experience with large global vendor due diligence teams to address critical business needs globally and locally
  • History of onboarding large enterprise partners in a short period of time

Impact:

  • Publishing efficiency increased by over 50% with same staff and resources
  • Achieved 100% transparency with deployed CentrlGPT AI functionality to streamline their review process
  • Deep cross firm collaboration and the elimination of information silos and barriers
  • Implemented DD360 in less than 8 weeks to meet their annual Diligence cycle
  • Successful multiyear partnership and has expanded into other divisions including IDD, Trust & Depositary and various Product areas
  • Able to support various volume heavy publishing cycles and custom DDQs to align with their oversight obligations

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