Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
A global financial institution backed by an $18 billion annual technology budget sought to modernize operations across a massive workforce where centralized teams could not address every need.
While the bank could prioritize major workflows like fraud detection, they lacked the capacity to address the "long tail" of thousands of smaller,...
“Lawyers use it to scan, read, compare, and generate contracts; credit professionals use it to read terms, compare covenants, and extract information; sales professionals and frontline bankers use it to distill information and prepare for meetings.”
JPMorgan Chase's Employee productivity is part of this use case:
Global financial services firm and investment bank.
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.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Routine admin created cognitive load. Copilot now automates repetitive tasks, saving 16% of time for strategic work.
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
A global financial institution backed by an $18 billion annual technology budget sought to modernize operations across a massive workforce where centralized teams could not address every need.
While the bank could prioritize major workflows like fraud detection, they lacked the capacity to address the "long tail" of thousands of smaller,...
“Lawyers use it to scan, read, compare, and generate contracts; credit professionals use it to read terms, compare covenants, and extract information; sales professionals and frontline bankers use it to distill information and prepare for meetings.”
JPMorgan Chase's Employee productivity is part of this use case:
Global financial services firm and investment bank.
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.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Routine admin created cognitive load. Copilot now automates repetitive tasks, saving 16% of time for strategic work.
Routine admin bogged down 120,000 staff. Secure custom GPTs now automate workflows, freeing bankers for strategy and risk analysis.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.