PRIVATE AI FOR BANKING
Put private AI to work in banking.
Search policies, review documents and organize case records. Keep the infrastructure under your bank's control.
Use cases
From policies to case reviews.
Use private models in banking applications such as these. Application integration is separate; analysts make the decisions.
Policy search
Find relevant information in internal policies, procedures and research.
Document review
Extract and summarize application documents for your operations team to review.
Investigation support
Organize case notes and supporting records for risk and compliance analysts.
Example workflow
Review a transaction alert.
Bring the alert, transaction history and case notes together for an investigator to review.
Gather the records
Bring together the alert, transaction history and relevant case notes.
Prepare a summary
Use AI to organize the evidence and highlight patterns for investigation.
Investigator review
An analyst checks the source records and decides the next action.
Where it runs
Choose where your banking AI runs.
Use compatible bank-owned servers, your cloud infrastructure or leased Edge systems. Agree who can access data and provide support. Air-gapped installations are managed locally.
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