This case study highlights the expertise of inoday in helping a financial services provider in the USA to help their analysts become more productive with a generative AI solution. Through strategic implementation of advanced AI models, inoday has revolutionized how financial analysts interact with complex data. It helps to create significant operational efficiencies while maintaining the highest standards of accuracy and compliance.
Service
Artificial Intelligence (AI)
Industry
Financial Services
Location
USA
Enhancing Productivity of a Financial Services Provider through GenAI Solution
Introduction
About Customer
Our customer from the USA is a mid-sized financial services provider, specializing in risk assessment and portfolio management for clients of all sizes across North America and Europe. With billions of dollars in assets under management (AUM), the financial service provider employs a team of 70+ financial analysts who produce detailed risk assessments.
As a forward-thinking organization committed to technological innovation, the financial service provider recognized the potential of AI to transform their analytical workflows.
Business Challenge
The financial analysts of a financial services provider struggled with lengthy risk assessments that took 3-5 trading days to complete. It creates bottlenecks in their investment decision pipeline. The process involved manual examination of vast amounts of financial data and market reports, leading to analyst burnout and human error.
Additionally, the inconsistent formatting and structure of reports made comparative analysis difficult for clients and senior management.
Solution
With a careful examination of the market scenario, the financial services provider chose inoday to develop a custom model to resolve this issue. After that, a generative AI solution was implemented to generate accurate, data-driven risk summaries, reducing the initial drafting time by more than 60%.
inoday’s AI experts customized these AI models specifically for financial terminology and regulatory requirements, ensuring compliance with industry standards. It enables analysts to focus on verification and high-level strategic thinking rather than basic data compilation.
Result
The USA-based customer has experienced a significant improvement in report turnaround time with increased accuracy. Client satisfaction scores increased by over 20% due to more consistent report formats and deeper insights generated through AI-assisted analysis. Analyst productivity has increased by over 40%, allowing the team to cover 30% more investment opportunities without adding headcount.