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Director of BSA/AML

Manage sanctions screening program

Enhances✓ Available Now

What You Do Today

Oversee real-time sanctions screening for transactions and customer onboarding. Manage OFAC list updates, review potential matches, and ensure blocked transactions are handled correctly.

AI That Applies

AI-enhanced screening — fuzzy matching algorithms reduce false positives from name screening while catching transliteration variants, aliases, and partial matches.

Technologies

How It Works

The system ingests name screening while catching transliteration variants as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

False positive rate on name screening drops from 95%+ to 60-70%. Your team spends more time on real matches and less time clearing common names.

What Stays

True match determination — is this the same 'Mohammed Al-Rahman' or a different one? — often requires investigative work beyond what the algorithm can resolve.

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.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for manage sanctions screening program, understand your current state.

Map your current process: Document how manage sanctions screening program works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: True match determination — is this the same 'Mohammed Al-Rahman' or a different one? — often requires investigative work beyond what the algorithm can resolve. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Fircosoft tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long manage sanctions screening program 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.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

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 manage sanctions screening program?

They set the risk appetite for AI adoption in regulated processes

your legal counsel

Who on our team has the deepest experience with manage sanctions screening program, 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 manage sanctions screening program, what would we measure before and after to know it actually helped?

They can share how regulators are responding to AI-assisted compliance

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.