Operators manually keyed thousands of pages word-for-word. AI now extracts data for review, halving processing time.
One of Japan's largest banks processes hundreds of daily international trade transactions, involving up to several thousand pages of non-standardized paper documents per transaction.
Operators manually entered data by visually confirming text word-for-word, creating a bottleneck that could not scale with increasing volumes. This...
“IBM personnel frequently visited the office site directly, shared incidents related to AI-OCR and openly shared their opinions to resolve issues. We were able to respond with a sense of security regarding the introduction of the new system because of their robust support system.”
Global retail and investment bank providing corporate and commercial financial services.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Related implementations across industries and use cases
2,500 auditors manually combed through risk data. NLP now scores controls and flags anomalies, saving hundreds of thousands of hours.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
Traders worked late nights parsing unstructured emails and PDFs. Now, non-tech staff build AI apps to extract prices and dates instantly.
Traders worked late nights parsing unstructured emails and PDFs. Now, non-tech staff build AI apps to extract prices and dates instantly.
Staff spent 3 hours interpreting text per case. An LLM now classifies goods and validates declarations in seconds.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Operators manually keyed thousands of pages word-for-word. AI now extracts data for review, halving processing time.
One of Japan's largest banks processes hundreds of daily international trade transactions, involving up to several thousand pages of non-standardized paper documents per transaction.
Operators manually entered data by visually confirming text word-for-word, creating a bottleneck that could not scale with increasing volumes. This...
“IBM personnel frequently visited the office site directly, shared incidents related to AI-OCR and openly shared their opinions to resolve issues. We were able to respond with a sense of security regarding the introduction of the new system because of their robust support system.”
Global retail and investment bank providing corporate and commercial financial services.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Related implementations across industries and use cases
2,500 auditors manually combed through risk data. NLP now scores controls and flags anomalies, saving hundreds of thousands of hours.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
Traders worked late nights parsing unstructured emails and PDFs. Now, non-tech staff build AI apps to extract prices and dates instantly.
Traders worked late nights parsing unstructured emails and PDFs. Now, non-tech staff build AI apps to extract prices and dates instantly.
Staff spent 3 hours interpreting text per case. An LLM now classifies goods and validates declarations in seconds.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.