BSA/AML Analyst
Case Investigation
What You Do Today
Investigate escalated alerts — pulling transaction histories, researching counterparties, reviewing account activity, checking sanctions lists, and building a case file that tells a coherent story about what happened and whether it's suspicious.
AI That Applies
AI-powered investigation workbench that auto-assembles case data — transaction summaries, customer profiles, network connections, adverse media, and sanctions screening — into a structured investigation package.
Technologies
How It Works
For case investigation, the system draws on the relevant operational data and applies the appropriate analytical models. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Case assembly time drops from hours to minutes. The AI pulls transaction data, screens counterparties, checks adverse media, and maps the customer's network before you start your analysis.
What Stays
The investigative thinking — recognizing structuring when it's not obvious, following the money across accounts, and building the narrative that connects the dots. This is analytical work that requires training and intuition.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for case investigation, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long case investigation takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your Chief Compliance Officer
“What data do we already have that could improve how we handle case investigation?”
They set the risk appetite for AI adoption in regulated processes
your legal counsel
“Who on our team has the deepest experience with case investigation, and what tools are they already using?”
AI in compliance creates new regulatory interpretation questions
a regulatory affairs peer at another firm
“If we brought in AI tools for case investigation, what would we measure before and after to know it actually helped?”
They can share how regulators are responding to AI-assisted compliance
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.