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.
Related implementations across industries and use cases
Launch data was scattered across PDFs and emails. Now, AI synthesizes tens of thousands of documents to draft requirements instantly.
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
Manual research slowed audit planning. A custom AI assistant now automates data analysis, cutting planning time by 65%.
Manual research slowed audit planning. A custom AI assistant now automates data analysis, cutting planning time by 65%.
Subjective pension reviews led to costly disputes. AI now validates decisions against legal precedents, cutting lost lawsuits by 50%.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Manual journal entry testing took three days. Automated document matching cuts this to hours, freeing auditors for advisory work.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
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.
Related implementations across industries and use cases
Launch data was scattered across PDFs and emails. Now, AI synthesizes tens of thousands of documents to draft requirements instantly.
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
Manual research slowed audit planning. A custom AI assistant now automates data analysis, cutting planning time by 65%.
Manual research slowed audit planning. A custom AI assistant now automates data analysis, cutting planning time by 65%.
Subjective pension reviews led to costly disputes. AI now validates decisions against legal precedents, cutting lost lawsuits by 50%.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Manual journal entry testing took three days. Automated document matching cuts this to hours, freeing auditors for advisory work.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.