Citi
Internal audit automation
2,500 auditors manually combed through risk data. NLP now scores controls and flags anomalies, saving hundreds of thousands of hours.
- Hundreds of thousands of hours saved via AI analysis
With numbers to prove it.
Explore all functionsAgents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Acquisitions scattered data, extending the monthly close to 15 days. AI workflows unified systems, cutting the financial close to 2 days.
Rigid rules slowed 990,000 invoices. ML now matches payments across 1,000 process variants, freeing cash trapped in manual cycles.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Finance teams spent six hours daily matching remittances. Now, bots extract data and reconcile SAP records 24/7.
2,500 auditors manually combed through risk data. NLP now scores controls and flags anomalies, saving hundreds of thousands of hours.
Manual research on vendor status created a backlog. AI now automates lookups and drafting, resolving routine queries autonomously.
Scattered data forced manual checks on thousands of returns. AI now validates invoices and unifies sources for global compliance.
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