Transforming banking operations with GenAI

CHALLENGE
The path to successful generative AI adoption isn't one size fits all. Use cases vary drastically across companies and departments, requiring extensive experimentation and an in-house dedicated team, which is costly. Our client, the leading bank for SMBs, struggled to:
  • Identify Use Cases: Finding practical applications for generative AI within their specific business needs was difficult.
  • Navigate the Evolving Solution Landscape: A dynamically changing market of technologies and tools required constant monitoring to stay updated on the latest advancements and identify the most suitable use cases.
  • Calculate ROI: Choosing between utilizing pre-built solutions or building an in-house AI team presented a strategic dilemma. The current shortage of machine learning (ML) talent further complicated this decision.

SOLUTION
AlumniHub offered an environment ("GenAI Kit") and an experienced team to quickly sort through hypotheses:
1. GenAI Kit:
__Our platform provides single-window access to applications that leverage the models of large technology companies to solve specific business problems in marketing, sales, HR, programming, customer support, and other areas.
__The solution includes modules for encryption and masking of personal data and testing. The current web version of the AI Kit allows clients to test basic functionality in the cloud, including:
_____・Creation of a knowledge hub by uploading files of different formats (audio, text, etc.)
_____Generation of summaries
_____Asking questions about information in downloaded files and links
_____Creating audio transcriptions with timestamps
2. Experienced Team:
The team conducts experiments to identify the most suitable use cases for the client's needs and then customizes GenAI to address those specific use cases. To ensure compliance with security requirements, the team can deploy the solution on the client's local infrastructure (on-premises).

RESULT
50% Reduction in Time: Achieved a 50% reduction in time for experimentation and identification of the use case.