BANKING

Even in the risk-averse world of banking and financial services the winds of change are blowing away old assumptions about AI, ML, LLMs and agentic architectures - the gains are just too big to wait and see.

USE CASES

Enterprise Knowledge Graph: Building an Agentic Framework to Assist with Customer 360

At a global-scale European bank we assisted in the creation of a multi-agent solution + knowledge graph which provides customer 360 insight into their entire global portfolio of corporate clients.

Key features:

Unstructured data input
Multiple global data sources
Enterprise-wide knowledge graph
Natural language chatbot interface

Key elements of the solution architecture:

Data lake
Graph database
Mistral

Resilience and Business Continuity: Scenario Modelling for Network Disruption

For the same European bank we built a system which allows them to simulate outages in their critical intra-site network, enabling them to better plan for business continuity in the event of network disruptions.

Key features:

Network digital twin
Scenario modelling
Business continuity planning

Key elements of the solution architecture:

CMDB
Graph database
React UI

Anti-Sanctions and AML: Agentic Entity Resolution

We assisted a global anti-sanctions and anti-money laundering software provider to enhance their product offering to financial institutions.

Key features:

Entity resolution
Relationship discovery
Fraudulent identity detection

Key elements of the solution architecture:

AWS native
Graph database