Product updates, partnerships, case studies, and ideas on AI-powered compliance operations — from the team building it.
There's a new analyst on the team. Justin runs KYB and KYC investigations end to end — ownership, related parties, deep web research, and screening — ending in a decision-ready case file.
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FairPlay tested Axle's Baley screening agent on 1,048 hard sanctions, PEP and adverse media cases: 97.5% accuracy, 99.2% precision. Nobody required it. We asked for it.
AlterBank is taking Rose from pilot to full production after cutting investigative labor costs by more than 70% — while its existing compliance team processed three times more AML alerts without adding headcount.
Justin joins the team as Axle's KYB & KYC diligence agent, Copilot lands in every investigation, and Rose gains semantic search, rule-based dispositions, and on-demand investigations.
Axle Copilot sits alongside every open alert, investigation, and diligence case — answering questions, rerunning investigations with new context, and taking action behind plan cards and predicted-impact previews.
Justin is Axle's diligence agent — he runs KYB and KYC investigations end to end, from ownership and related-party research to a decision-ready case file with a suggested disposition and next steps.
Axle's integration with Chainalysis brings blockchain risk signals, exposure data, and on-chain context directly into Rose's transaction monitoring investigations — no tab-switching, no manual lookups, and a full audit trail on every disposition.
The Axle MCP server lets compliance teams operate Rose, Baley, and Sam from MCP-aware tools — pull live alert metrics, trigger reruns, and inspect investigation context without leaving your own AI stack.
Rose gains a Chainalysis integration, API V2, end-to-end case management, custom PDF reporting, and transparent flag-based risk assessments; Baley adds business-name matching and SOE classification controls.
Case management and OneSchema CSV uploads land in Rose, while Baley gains configurable PEP handling, location matching, and multi-point approvals — plus deeper audit trails across the board.
Hundreds of updates hit production this quarter — OSINT and API upgrades for Baley, blockchain investigations and multi-institution SOPs for Rose, and Sam officially out of beta.
Rise put Rose behind its transaction monitoring queue — investigating alerts end to end in its existing stack, 24/7, with a documented rationale on every disposition. Here's how a review runs and what changed for the team.
We're launching the Axle blog — and kicking it off with a look at what we shipped during our internal hackathon: global search across Axle, a redesigned transactional email system, and this blog itself.
How to risk-rate PEP customers: four factors that drive the rating, what FATF Rec. 12 and US rules require, and how to treat former officials over time.
FinCEN's 90/120-day continuing activity SAR timeline, what the October 2025 FAQs changed, and how to file: box 1c, Item 29/31 mechanics, and policy tips.
Structuring and smurfing detection patterns that still work: sub-threshold bands, cross-channel aggregation, funnel accounts, and SAR workflow tips.
Where AI agents beat rules-based AML transaction monitoring, where they don't, and how to layer them without failing model risk review.
How SR 26-2 changes model risk management for AI in AML — scope, validation, effective challenge, and a starter framework for BSA officers.
OFAC's five compliance components turned into a working checklist for fintechs — screening controls, testing cadence, and where AI screening fits.
How to build a high risk customer review process examiners trust: cadence, triggers, evidence standards, decisions, and workflow design for EDD.
How to tune AML transaction monitoring rules: baseline metrics, ATL/BTL testing, threshold changes, and the documentation examiners expect.
The SAR filing mistakes FinCEN and examiners flag most — narrative gaps, missed deadlines, aggregation errors — and how to fix each one.
A BSA officer's guide to AI compliance vendor evaluation — the model governance, audit trail, and pilot questions to ask before the demo.
How fuzzy name matching works in sanctions screening: Jaro-Winkler, Soundex, edit distance, threshold tuning, and OFAC's calibration expectations.
What transaction monitoring is, how automated AML monitoring works, and how compliance teams tune scenarios, manage alerts, and hit SAR deadlines.
KYC verifies people. KYB verifies businesses and the people who own or control them. What each checks, which documents, and how the CDD Rule applies.
FinCEN SAR narrative guidance explained: who, what, when, where, why and how, a three-part structure, and why the "why" is where most narratives fail.
A risk-based approach to adverse media screening: scoping, source credibility, deduplication, and adjudication that cuts noise without missing risk.
How to calculate cost per alert in AML, why false positives dominate the math, and which levers actually cut transaction monitoring spend.
Verify beneficial owners under 31 CFR 1010.230: the 25% ownership and control prongs, CIP-grade ID methods, a 6-step workflow, and the 2025 BOI change.
A practical framework for an AI pilot in AML compliance: scoping, shadow mode, model validation, and the go/no-go metrics that matter.
A SAR is due 30 calendar days after detection, or 60 if no suspect is identified. The $5,000 threshold, continuing activity timing, and 2025 FAQ changes.
AI transaction monitoring compliance: what examiners expect, key guidance from FinCEN and the banking agencies, and how to run a defensible pilot.
A step-by-step PEP alert adjudication workflow for AML teams: match validation, risk assessment, disposition, and documentation that stands up to exams.
Weighing NetReveal alternatives? A framework for choosing between augmenting or replacing legacy transaction monitoring, with regulator guidance.
What triggers an enhanced due diligence review, what FinCEN's CDD Rule requires, and a step-by-step EDD workflow for higher-risk customers.
Why sanctions screening false positive rates hit 95%, the root causes behind the noise, and how to cut alert review time without loosening thresholds.
How AML alerts pass from L1 to L2: what L1 analysts close, what they escalate, what L2 decides, what the FFIEC expects, and where the handoff breaks.
A practical KYB checklist for business onboarding: formation documents, beneficial ownership prongs, EDD triggers, and what changed under FIN-2026-R001.
How to write a SAR narrative FinCEN can use: the five essential elements, a three-part structure, an annotated example, and the errors to avoid.
Cut transaction monitoring false positives: fix data quality, tune thresholds, segment customers, and add AI triage. Plus what FinCEN says about using AI.