Traders worked late nights parsing unstructured emails and PDFs. Now, non-tech staff build AI apps to extract prices and dates instantly.
A Hong Kong-based asset management firm managing over 50 exchange-traded fund products across Hong Kong and Singapore.
Employees spent hours manually compiling regulatory reports from dozens of spreadsheets and interpreting trade confirmations that arrived in...
“Before, launching a new product meant waiting three months for IT to build the software architecture. Now with Azure Al and GitHub Copilot, we can prototype and deploy in just a few weeks. That speed lets us respond to market shifts instantly, and our clients feel the difference.”
Asset management firm specializing in ETFs and index-based investment products.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Traders spent hours searching complex fund documents. A secure AI chatbot now delivers instant answers, freeing teams to evaluate deals.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
Static reports required manual collation. Agentic AI now automates record classification and retrieval without manual intervention.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Rigid rules slowed 990,000 invoices. ML now matches payments across 1,000 process variants, freeing cash trapped in manual cycles.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Traders worked late nights parsing unstructured emails and PDFs. Now, non-tech staff build AI apps to extract prices and dates instantly.
A Hong Kong-based asset management firm managing over 50 exchange-traded fund products across Hong Kong and Singapore.
Employees spent hours manually compiling regulatory reports from dozens of spreadsheets and interpreting trade confirmations that arrived in...
“Before, launching a new product meant waiting three months for IT to build the software architecture. Now with Azure Al and GitHub Copilot, we can prototype and deploy in just a few weeks. That speed lets us respond to market shifts instantly, and our clients feel the difference.”
Asset management firm specializing in ETFs and index-based investment products.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Traders spent hours searching complex fund documents. A secure AI chatbot now delivers instant answers, freeing teams to evaluate deals.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
Static reports required manual collation. Agentic AI now automates record classification and retrieval without manual intervention.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Rigid rules slowed 990,000 invoices. ML now matches payments across 1,000 process variants, freeing cash trapped in manual cycles.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.