Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.
One of the world's largest mining companies, operating across 19 countries with over 60,000 employees, manages complex financial, tax, and insurance processes that rely heavily on dense, unstructured PDFs.
Answering a single question required searching through dozens of files, manually comparing clauses, and coordinating across multiple teams. Early...
“Databricks is at the center of our AI strategy. With Agent Bricks, we went from experimentation with limited production results to a working initial version of an agent in just days — giving our finance teams entirely new ways to analyze data and make decisions.”
Global mining company and producer of iron ore, pellets, and nickel.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Vale's Financial document analysis is part of this use case:
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Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.
One of the world's largest mining companies, operating across 19 countries with over 60,000 employees, manages complex financial, tax, and insurance processes that rely heavily on dense, unstructured PDFs.
Answering a single question required searching through dozens of files, manually comparing clauses, and coordinating across multiple teams. Early...
“Databricks is at the center of our AI strategy. With Agent Bricks, we went from experimentation with limited production results to a working initial version of an agent in just days — giving our finance teams entirely new ways to analyze data and make decisions.”
Global mining company and producer of iron ore, pellets, and nickel.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Vale's Financial document analysis is part of this use case:
Related implementations across industries and use cases
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Models took three years to deploy. Specialized agents now automate claims from PDFs and X-rays, shipping solutions in weeks.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
KYC files moved desk to desk for months, with compliance teams buried in repetitive checks. Agents now extract and score; officers decide.
Two-person team, 10 power plants. Daily threat queries ate 2 hours; now agents run them while humans stay on consequential calls.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
90% of invoices had exceptions; AP analysts corrected them line by line. An agent now resolves mismatches before they reach finance.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.