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.
CSOP Asset Management's Document processing is part of this use case:
Related implementations across industries and use cases
Financial data scattered across systems took up to 15 manual steps per file. AI automates workflows and unlocks natural language queries.
Manual data checks bottlenecked pitch reviews for weeks. Now, AI runs first-pass screening, freeing analysts for founder interviews.
Traders spent hours searching complex fund documents. A secure AI chatbot now delivers instant answers, freeing teams to evaluate deals.
Financial data scattered across systems took up to 15 manual steps per file. AI automates workflows and unlocks natural language queries.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
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.
CSOP Asset Management's Document processing is part of this use case:
Related implementations across industries and use cases
Financial data scattered across systems took up to 15 manual steps per file. AI automates workflows and unlocks natural language queries.
Manual data checks bottlenecked pitch reviews for weeks. Now, AI runs first-pass screening, freeing analysts for founder interviews.
Traders spent hours searching complex fund documents. A secure AI chatbot now delivers instant answers, freeing teams to evaluate deals.
Financial data scattered across systems took up to 15 manual steps per file. AI automates workflows and unlocks natural language queries.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.