-
32%
increase in efficiency in factual tasks
-
62%
RoI projected to be delivered in the next three years
-
100%
reduction in manual effort and zero errors
CLIENT’S CHALLENGES
- The client is a Europe-headquartered, bulge-bracket investment bank (IB). The goal was to digitise its portfolio-monitoring processes such as data, document management, credit reviews, financial spreading and early warning signals.
- Legacy systems were inflexible and required costly, complex migration efforts, making automated solutions difficult to implement.
- Traditional workflows did not align seamlessly with new digital processes, requiring extensive business process reengineering.
- Resistance to change among portfolio officers used to legacy or manual processes slowed adoption and reduced effectiveness. Upskilling staff to understand and leverage AI-powered tools was a continuing challenge.
- Ensuring AI models remained compliant with evolving financial regulations (e.g., KYC, GDPR) was complex and resource-intensive.
OUR APPROACH
- The client wanted to digitise four main areas of portfolio monitoring: data gathering, document management, financial spreading, credit reviews and early warning signals (news tracking and monitoring).
- The team conducted a proof of concept (PoC) using a sample portfolio of 153 entities to understand and address the requirements for each process. The portfolio was split between corporates, banks and sub-sovereign public authorities (SSPAs).
- The team conducted a series of virtual calls with the client’s stakeholders to understand the processes, challenges faced, expectations and objectives from the PoC.
- Acuity’s tools were used where possible:
- Data/document management, financial spreading and credit reviews were digitised using tools such as Research Hub, Aura and Credit Pulse.
- For early warning signals, a bespoke solution was developed in collaboration with the Data and Technology Services team, implementing custom triggers and logic provided by the client.
- Automation focused on factual sections of credit reviews, while judgmental sections remained the responsibility of the client’s staff.
- For financial spreading, the team followed the client’s spreading guidelines for corporates, while for banks and SSPAs, we reviewed the existing spreading output to develop draft spreading guidelines.
IMPACT DELIVERED
- The digitisation process streamlined data management, financial analysis and monitoring, leveraging automation and custom solutions
- The PoC demonstrated the feasibility of digitising key monitoring processes and provided the client with access to the results for review
- The digitisation effort increased efficiency by 32% for factual tasks and capacity of the client’s portfolio officers
- Provided AI-powered components with scalability for future demands and enhancements
- Integrated solution provided connectivity across the client’s data sources
- 62% RoI projected to be delivered to the client over the next four years on complete implementation
- 100% reduction in manual effort and error-free portfolio monitoring
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