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.”
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
EY's Tax document processing is part of this use case:
Related implementations across industries and use cases
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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.”
Global professional services for assurance, tax, consulting, and strategy.
Enterprise software, cloud infrastructure, and consumer electronics platform.
EY's Tax document processing is part of this use case:
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.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.