Sharpen the SAR. Tighten CDD. Lose the noise.
Use AI to triage alerts, summarize SAR narratives, and document CDD baselines — without ever putting customer data into a model.
Where BSA / AML can use AiBI immediately.
Draft a SAR narrative
Convert a typology + timeline into the structured narrative the FinCEN reviewer expects.
Triage alerts
Run the alert rationale through a structured pattern check to prioritize review.
Document CDD baseline drift
Compare current CDD against the baseline; flag changes that need an updated profile.
Summarize a structuring pattern
Turn raw transaction notes into a clean pattern description for the case file.
A documented rhythm that reviewers can follow.
Pattern
Identify the typology and the timeline window before any AI involvement.
Sanitize
Strip identifiers, amounts, account numbers — only typology + dates + relative amounts go to the model.
Draft
Generate the narrative in the sandbox. Compare against your team's SAR template structure.
Review
Re-attach customer data manually in the SAR system. Reviewer signs off.
Before AI output is used.
Make the SAR sharper. Keep the customer data out of the model.
The fastest narratives are the ones you do not have to rewrite. This playbook is built around that.