How Compliance Leaders at Community Banks Clear 6 Months of Backlog in Days

(...without hiring a single analyst, doing a 12-month integration, or gambling at your next exam.)

A free live training for BSA Officers, CCOs, and compliance leaders at US community banks — including how we helped a $30B AUM community bank like yours clear their backlog in record time.

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If You've Been Quietly Watching the Backlog Grow…

You're not alone. And you're not wrong to be worried.

Every quarter there's a new vendor email. A new conference panel telling you AI will either save your program or end your career — depending on who's sponsoring the panel.

Meanwhile, back at the bank: the alert queue is deeper than last quarter. The EDD reviews are stacking up. The hiring req is frozen — or approved but unfillable.

And the exam date is getting closer.

Here's the honest version nobody puts on a slide: you've already done everything the playbook says. Tuned the rules. Re-prioritized the queue. Maybe upgraded the case manager. Every rollout made the pile more organized. None of them made it smaller.

That's not a failure of effort. There's a one-line equation that explains why — and in this session you'll run it live with your own bank's numbers.

Three Things You'll Learn That Most Compliance Leaders Miss

Why More Analysts and Better
Tools Won't Fix Your Backlog

(...and how to properly diagnose the problem)

You've tuned your program rules, upgraded the case manager, maybe even made a couple hires — but the backlog is still there. None of it changed the one number that matters. We'll show you the simple equation that helps to diagnose the real problem.

A payments company with tuned rules and a new case platform still had a 6-month backlog. Once agents started working the cases themselves: it was gone in 2 days.

Why Examiners Actually Prefer
AI-Assisted Case Files

(...and how to avoid the “black box” problem.)

"What happens at my next exam when they find out AI touched these cases?" It's the right question, and most banks implementing AI get this wrong. But examiners grade on whether every disposition is documented, consistent, and explainable. We’ll give you the exact framework that achieve 91.2% agreement with expert analysts across 10,000 validated cases and show why Examiners actually prefer AI.

One institution ran agents alongside their analysts on live cases. The agent files came back more consistent than the human ones. 98.7% false-positive detection.

How to Onboard AI Agents That Outperform Your Best Analysts in 2 Weeks

(...without a core integration project or a data migration.)

You know how this usually goes: the vendor says "seamless," twelve months later you're still in implementation and the backlog grew the whole time. Agents don't install like software. They onboard like a new analyst: read your policies, work real cases from your existing queue while your team reviews every decision, then take over the routine work. Nothing about your core changes.

A $30B community bank — same regulators, same exam pressure, same core-system constraints as you — deployed this way. You'll see their numbers live.

Three Things You'll Learn That Most Compliance Leaders Miss

Why More Analysts and Better
Tools Won't Fix Your Backlog

(...and how to properly diagnose the problem)

You've tuned your program rules, upgraded the case manager, maybe even made a couple hires — but the backlog is still there. None of it changed the one number that matters. We'll show you the simple equation that helps to diagnose the real problem.

A payments company with tuned rules and a new case platform still had a 6-month backlog. Once agents started working the cases themselves: it was gone in 2 days.

Why Examiners Actually Prefer
AI-Assisted Case Files

(...and how to avoid the “black box” problem.)

"What happens at my next exam when they find out AI touched these cases?" It's the right question, and most banks implementing AI get this wrong. But examiners grade on whether every disposition is documented, consistent, and explainable. We’ll give you the exact framework that achieve 91.2% agreement with expert analysts across 10,000 validated cases and show why Examiners actually prefer AI.

One institution ran agents alongside their analysts on live cases. The agent files came back more consistent than the human ones. 98.7% false-positive detection.

How to Onboard AI Agents That Outperform Your Best Analysts in 2 Weeks

(...without a core integration project or a data migration.)

You know how this usually goes: the vendor says "seamless," twelve months later you're still in implementation and the backlog grew the whole time. Agents don't install like software. They onboard like a new analyst: read your policies, work real cases from your existing queue while your team reviews every decision, then take over the routine work. Nothing about your core changes.

A $30B community bank — same regulators, same exam pressure, same core-system constraints as you — deployed this way. You'll see their numbers live.

Who This Session is for

You're a BSA Officer, CCO, or Head of Compliance at a US community bank
Your alert or case backlog is growing faster than your team can clear it — or you can see the exam cycle where it becomes a finding
You've bought at least one tool that was supposed to fix this. The pile is still there.
You want to see this actually working — live, on real cases — not read another whitepaper
THIS IS NOT FOR YOU IF:
Your program processes fewer than 100 alerts per month — this won't be relevant at that volume
You've already deployed AI agents for compliance case work — you're past the stage this session covers
If you nodded along to the first list,
this session was built for you.

Who's Presenting — and Why

Sphinx builds AI agents for financial crime compliance — running in production today at a $30B US community bank, plus fintechs, payments companies, and BaaS sponsor banks.

We built this session because the same three questions come up in every conversation with a community bank compliance leader: *Why hasn't anything fixed the backlog? What will my examiner say? How painful is deployment on my core?* Those are the three secrets — and we'll answer them with production data and a live demo, not slides about the future.

Every number in this session is from production.No demo environments, no cherry-picked data, no "up to" qualifiers.
Alexandre Berkovic
Co-founder and CEO
Proof Wall

Banks and Financial Institutions 
Running This Today

Usage-based, no seats, no platform fee. The playground is free. When you go live, you pay for what you scan.
$30B
AUM
US community bank

Same regulators. Same exam cycle. Same core-system constraints. AI agents working compliance cases in production, with case files their examiners have reviewed.

1,000+
alerts dispositioned
cross-border payments Fintech

6-month screening backlog cleared in 2 days. 1,000+ alerts dispositioned. 200+ hours/month returned to the team.

98.7%
false-positive detection
embedded finance platform

17 days of manual investigation eliminated per month.

These aren't pilots. These are live deployments, running today.
What’s inside

What's Actually Inside the 60 Minutes

How a document was made is usually the story of the fraud.

The Backlog Equation

One formula that explains why the backlog keeps growing regardless of what you buy. You'll calculate your own bank's numbers live. Bring your team's average minutes per alert. Warning: the math is uncomfortable. It's supposed to be.

The Defensible Decision Standard

How to get AI's speed without the black box. Four properties every disposition must have to survive an exam — and how to audit any vendor (including us) against them.

Interpretable Agentic Framework

How Sphinx eliminates the black box with three agents work every alert achieving 91.2% agreement with expert analysts across +10,000 validated cases.

The 2-Week Deployment Model

How a $30B community bank deployed without touching their core.

A live demo

You'll watch an agent work a real case end to end: evidence gathering, analysis, and the full written disposition. Judge the case file quality yourself.

Live Q&A

Model risk, validation, vendor management, examiner prep. Bring the hard questions.
Diagram showing relationship mapping with ACME INC. linked to four people, three marked suspicious.
Knowledge graph showing Globex Corp and ACME Inc linked to a person and Cayman Islands offshore zone.
Two quotes about supply chain warehouses and company control via offshore zones from The Regional Observer and BBC News.
Live-only Venue stack

And for a Small Number of Banks: Something We've Never Offered

At the end of the session, we're opening the door for 5 community banks to work with us directly. Those 5 get:

On-Site Working Session

Our team comes to your bank. Your cases, your policies, your exam calendar, in the room with your team. We've never included this before.

A Free Backlog Review

AI agents scour media, watchlists, court records, filings, and the open web – surfacing context, resolving ambiguity, and reducing false positives.

Early Access to Atlas

Uncover hidden relationships in real time by connecting people, shell companies, and counterparties – even when data is sparse or deliberately obscured.

Letter from the desk

A Note From Alex

If the last two years have taught community banks anything, it's that the world is changing fast. Most people writing “AI headlines” don’t understand what it’s like for community banks to face examiners.

Here's what we believe: the BSA Officers and CCOs who come out ahead won't be the most technical ones. They'll be the ones who got a straight answer early. Who saw real numbers — from a bank like theirs to actually address the problem.

You don't need to be an AI expert. You don't need a transformation budget. You need 60 minutes and a willingness to understand what you’re program might be missing.

I'll show you exactly what we've built, how it works, and what it did for a $30B community bank. Then you can judge for yourself.

— Alex, CEO of Sphinx
Black and white headshot of a young man with wavy hair, light stubble, wearing a white shirt and jacket.Black and white dot pattern portrait of a man with wavy hair wearing a white shirt and jacket.
Alexandre Berkovic
Co-founder and ceo