Mountains of legacy code held back innovation. A new risk "highway" scaled Gen AI across five strategic domains in under a year.
A Dutch multinational bank managing mountains of legacy technology and bespoke code while facing increasing pressure from agile market entrants and complex regulatory environments.
Extensive technical debt created a drag on innovation, and existing risk assessment processes were too slow to support the rapid adoption of emerging...
“By automating transaction analyses and improving efficiency in customer due diligence processes, we can reduce fraud and abuse, spend less time doing so, and improve the customer experience at the same time.”
Retail and wholesale banking services for individuals and corporations.
Related implementations across industries and use cases
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Mountains of legacy code held back innovation. A new risk "highway" scaled Gen AI across five strategic domains in under a year.
A Dutch multinational bank managing mountains of legacy technology and bespoke code while facing increasing pressure from agile market entrants and complex regulatory environments.
Extensive technical debt created a drag on innovation, and existing risk assessment processes were too slow to support the rapid adoption of emerging...
“By automating transaction analyses and improving efficiency in customer due diligence processes, we can reduce fraud and abuse, spend less time doing so, and improve the customer experience at the same time.”
Retail and wholesale banking services for individuals and corporations.
Related implementations across industries and use cases
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.