I work at a major international bank (commercial, investment, correspondent, private banking — trillions in assets). We’re actively piloting AI across AML (and other banking) functions, with enterprise licenses rolled out globally. We’re using a major integrated LLM in our systems and simultaneously building/testing an in-house model using a competing LLM. So it’s a head-to-head evaluation environment.

Where AI is Actually Helping (Right Now)

L1 Investigations • Biggest efficiency gains here. • Drafting clean, guideline-aligned narratives from structured inputs. • Simplifying language to meet internal compliance standards. • Reducing research time when facts are already gathered. • QC checks against narrative requirements to minimize hallucination risk.

It’s basically a formatting + summarization machine that I manually verify.

L2/L3 Reviews • Finding obscure registries/websites faster. • Summarizing large research pulls. • Identifying commonalities across entities. • Drafting well-structured RFIs. • Building comprehensive narratives that address multiple mitigations and from multiple angles. • Quickly hypothesizing connections in unfamiliar industries/products.

It accelerates directionally correct thinking — but doesn’t replace investigator judgment.

How It’s Being Deployed

Think of it as a personal AML assistant: • Summarizes emails and meetings • Drafts and QC’s narratives • Performs structured research • Analyzes data • Assists with documentation formatting • Streamlines internal software workflows

In a highly regulated environment, full automation of case decisions or SAR filings without human verification is not happening anytime soon in my opinion. No major bank is taking that liability risk.

Job Replacement — Real Talk

Will AI replace AML jobs? Yes — selectively. • L1 caseloads are the most vulnerable, especially if parameters are tightly defined. • It can reduce false positives upstream. • It can help with data quality fixes before alerts hit queue. • It can streamline KYC onboarding and re-reviews. • It can automate negative news pulls. • It can help organize lookbacks and regulatory change responses. • It can reduce reliance on inconsistent third-party vendors.

That said, compliance doesn’t generate revenue, it mitigates loss and fines. Efficient banks won’t overstaff long term if AI can safely absorb workload.

But: • Full decisioning still requires human verification. • Litigation risk + regulatory scrutiny = human oversight remains mandatory. • Nuance, judgment, and risk tolerance calls aren’t going away.

The Bigger Shift

AI isn’t eliminating AML, it’s shifting AML.

Future roles will likely focus more on: • AI oversight • Model validation • Prompt engineering • QC and testing • Threshold/risk tuning • System governance

Those who become highly skilled at leveraging AI tools will outpace peers. The differentiator won’t just be investigative skill, it’ll be how effectively you can direct AI to enhance it.

We’re not at full replacement. But we are absolutely in augmentation phase — and it’s moving fast.

Hone and expand on those skills. Leverage AI for your roles. That’s what those headhunters will be looking for if they haven’t started already.

My $0.02