Target Audience

Financial specialists, investment advisers, and AI/ML practitioners in financial institutions

Challenge

Financial operations, especially in investment policy retrieval, are highly complex and time-consuming, requiring years of specialized training. This creates bottlenecks in service delivery, leading to lost productivity and competitive disadvantage. Specialists often struggle to quickly locate relevant policies across vast internal documentation, slowing decision-making and increasing operational costs.

Solution Approach

Arcane leverages Retrieval-Augmented Generation (RAG) to instantly pinpoint relevant investment policies from an internal web platform. It uses a chat interface tailored for financial specialists, combining pre-defined frequent questions with open-ended queries. The system efficiently retrieves and presents policies, significantly reducing the time specialists spend searching for information.

Value Add

Arcane boosts productivity by orders of magnitude, enabling faster decision-making and reducing the backlog of specialized tasks. It addresses critical bottlenecks in financial operations, improving service competitiveness and operational efficiency while maintaining privacy and security standards.

References

Developed by RBC's AI Solution Acceleration and Innovation team in collaboration with Borealis AI, RBC's enterprise AI branch. Implemented in RBC's payments and digital journey functions.

Read more here: https://www.youtube.com/watch?v=cqK42uTPUU4