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 use casesAnalysts spent thousands of hours acting as human bridges for data. Graph AI automated the work, saving $1.2M and delivering 370% ROI.
RGA lacked a consistent way to prove AI fairness. A new playbook now standardizes bias testing for predictive models.
Verifying claims took days. AI analyzed 5 years of records in minutes, identifying $2.2M in assets to secure a $4M+ win.
Subjective legal reviews dragged for days. Teams codified regulatory logic into a tool, ensuring objective standards for every submission.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Manual review held back strategic counsel. AI now accelerates due diligence, redacts GDPR data, and aligns regulatory tone.
Subjective pension reviews led to costly disputes. AI now validates decisions against legal precedents, cutting lost lawsuits by 50%.
Rigid workflows required custom code per bank. Now, an adaptive engine configures rules instantly, automating manual research.
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%.
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