Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
A global financial service provider processes thousands of varying tax document types from worldwide clients, with individual forms frequently spanning up to 300 pages.
During high-pressure tax seasons, teams manually transcribed key values from complex forms, receipts, and invoices. Building automated extraction...
“By integrating Microsoft OpenAI within a secure, cloud-native elastic Azure architecture, we automated both structured and unstructured K-1 tax data processing at scale. This capability significantly improved data extraction speed, accuracy, and operational efficiency, supporting high-volume tax workflows with minimal manual intervention.”
EY's Tax document processing is part of this use case:
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
A global financial service provider processes thousands of varying tax document types from worldwide clients, with individual forms frequently spanning up to 300 pages.
During high-pressure tax seasons, teams manually transcribed key values from complex forms, receipts, and invoices. Building automated extraction...
“By integrating Microsoft OpenAI within a secure, cloud-native elastic Azure architecture, we automated both structured and unstructured K-1 tax data processing at scale. This capability significantly improved data extraction speed, accuracy, and operational efficiency, supporting high-volume tax workflows with minimal manual intervention.”
EY's Tax document processing is part of this use case:
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.