Scanline BUilt For fincrime teams

Clear your AML alert backlog 10x faster - with analysts still in control

AI agents prep each alert for you: pull context, do external research, run checks, and hand your team a worked case with a suggested decision and draft narrative.

20–40 min

Average time per alert today

2–5 min

With agent-assisted review

~80%

Of work handled by agents

Why fincrime leaders use agent-assisted review

Slash handling time

Cut per-alert work from 20–40 minutes down to 2–5 minutes of review, not 30 minutes of grunt work.

Reduce backlogs without adding headcount

Let agents chew through the queue while analysts focus on judgment calls and edge cases.

More consistent decisions & narratives

Standardized checks and narrative templates lead to fewer gaps and faster QA.

Keep humans in control

Agents prepare the case and a recommended outcome; your analysts still approve, edit, and file.

What your agents do for every alert

01

Ingest the alert

Pull entity details, transactions, history, and prior cases from your TM / case system.

02

Enrich with context

Query internal databases and external / public sources to surface relevant signals.

03

Propose a decision

Evaluate the full picture and recommend close / escalate / report, with supporting rationale.

04

Draft the narrative

Generate a first-pass case or SAR-style narrative for your analyst to review and file.

Every step is logged so your team can see exactly what was checked and why.

Fits into your existing AML workflow

Step 1

Connect your alerts

Plug into your TM / case system (e.g. Unit21, Alloy, in-house tools) via API.

Step 2

Agents work the queue

They assemble context, analyze patterns, and prepare a suggested outcome plus narrative for each alert.

Step 3

Analysts review & file

Your team reviews, tweaks, and approves. Same systems, same filing process — just with the prep work done for them.

No rip-and-replace. It sits alongside the tools and processes you already use.

Early access

Stop the alert backlog

For fintech fincrime / AML teams dealing with real queues, not slides.