KPMG
Audit automation
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
- 95,000 auditors using AI-powered Clara platform
- AI-powered audits scaled across 140 countries
Auditors were bogged down by manual documentation. A fine-tuned model now automates findings, shifting focus to critical analysis.
A global maritime shipping company operates a fleet of 280 ships and 1.6 million tracking-enabled containers to transport 11.9 million TEUs annually across 140 countries.
Auditors spent 15 minutes drafting each finding and 30 minutes reviewing executive summaries, creating a heavy administrative burden that limited...
“Moving forward, generative AI will have a significant role in freeing auditors from administrative tasks. Databricks is the partner of choice for that.”
International container liner shipping company for global maritime logistics.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Hapag-Lloyd's Internal audit automation 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.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Complex logistics terms bottlenecked output. AI trained on definitions now drafts posts, helping new hires ramp in three weeks.
Tracking freight required manual portal searches. Now, an AI assistant instantly retrieves real-time shipment data across backend systems.
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.
Auditors were bogged down by manual documentation. A fine-tuned model now automates findings, shifting focus to critical analysis.
A global maritime shipping company operates a fleet of 280 ships and 1.6 million tracking-enabled containers to transport 11.9 million TEUs annually across 140 countries.
Auditors spent 15 minutes drafting each finding and 30 minutes reviewing executive summaries, creating a heavy administrative burden that limited...
“Moving forward, generative AI will have a significant role in freeing auditors from administrative tasks. Databricks is the partner of choice for that.”
International container liner shipping company for global maritime logistics.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Hapag-Lloyd's Internal audit automation 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.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Complex logistics terms bottlenecked output. AI trained on definitions now drafts posts, helping new hires ramp in three weeks.
Tracking freight required manual portal searches. Now, an AI assistant instantly retrieves real-time shipment data across backend systems.
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.