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.
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.
What a PEP check is, how FATF, US and EU definitions differ, who counts as family or a close associate, and what a bank's check actually consists of.
Five annotated SAR narrative examples, from structuring to crypto off-ramps, mapped to FinCEN's five Ws with the key terms and fields each typology needs.
FinCEN's FIN-2026-Alert005 lists 16 scam center red flags. Which ones a bank can actually detect, how to code them into scenarios, and how to file the SAR.
What the control prong means under FinCEN's CDD Rule, how it differs from the 25% ownership prong, and where onboarding teams get it wrong.
A staged AML program modernization path from rules-based monitoring to AI agents, built for FinCEN's 2026 effectiveness standard and the revised SR 26-2.
What agentic AI means for compliance teams: how agents differ from rules and models, where regulators landed in 2026, and the controls that survive exams.
AML fines 2026: what FinCEN, DOJ, OCC and NYDFS actions against UBS, Canaccord, EagleBank, OKX and Block reveal about the failures regulators punish.
Outsourced AML alert review, in-house analysts, or AI agents? A practitioner comparison of cost, quality drift, accountability, and hybrid models.
FinCEN's eight AML/CFT priorities are unchanged in 2026, but the April proposed program rule changes how you must use them. What BSA officers should do now.
A practitioner's map of the AML compliance tech stack in 2026: the six core categories, where AI agents fit, and what April's rule changes mean for each layer.
A step-by-step walkthrough of AI transaction alert investigation: data gathering, typology analysis, disposition rationale, human review, and what regulators expect.
How to get model risk management to approve AI in AML compliance: what SR 26-2 changed, what validators actually need, and a practical validation package.
How to cut KYB onboarding friction without adding AML risk: FinCEN's 2026 CDD relief, FATF's risk-based approach, and a tiered verification workflow.
Which transaction monitoring metrics matter: how to measure alert precision, recall, and SAR yield — and what examiners expect under FFIEC and SR 11-7.
What data an AI transaction monitoring pilot needs — transactions, KYC, alert dispositions — plus what SR 11-7 and the 2018 joint statement expect.
How automated SAR narrative generation works, what FinCEN expects from narratives, and a workflow that keeps analysts accountable for the why.
How to turn screening alert adjudication history into a feedback loop that cuts repeat false positives without weakening sanctions coverage.
Which transaction monitoring scenarios still earn their alert volume — and a defensible process for tuning or retiring the ones that don't.
No rule sets a fixed KYC refresh interval. How to build a risk-based periodic KYC refresh program with trigger overlays that survives exams and scales.
How to evaluate AI agent compliance performance against your analysts: golden datasets, blind parallel runs, override analysis, and what regulators expect.
Where real-time sanctions screening is non-negotiable, where batch rescreening fits, and how to run both without drowning in post-list-update alert spikes.
How to calibrate transaction monitoring thresholds by risk segment: what FFIEC examiners expect, a five-step tuning workflow, and the documentation that survives an exam.
FinCEN data puts annual SAR volume near 4.7M. How to benchmark your SAR volume with ratio metrics — and what examiners actually look for.
How mid-size bank compliance teams evaluate Actimize alternatives: replace, wrap, or augment — plus the regulatory guardrails for AI-based monitoring.
A step-by-step process to verify business registration in any state: Secretary of State search, good standing, registered agent checks, and red flags.
A BSA officer's framework for build vs buy compliance AI: what regulators expect, the true cost of building, and when each path makes sense.
How to structure a transaction monitoring investigation narrative: the five W's, flow-of-funds detail, disposition rationale, and SAR-ready writing habits.
Cut sanctions screening alert noise without loosening match thresholds: data hygiene, suppression rules, weak aliases, and AI-assisted alert review.
Crypto transaction monitoring spans two ledgers — fiat rails and on-chain activity. How alerting, red flags, and investigations change, per FinCEN and FATF.
What examiners expect from AI audit trails in AML programs: SR 11-7 documentation standards, decision-level logging, and how to make agentic AI examinable.
Shell company red flags for KYB and EDD reviews: formation, ownership, and transaction indicators from FATF and FinCEN — and how to act on them.
How to build an audit-ready SAR filing workflow: deadline clocks, narrative standards, supporting documentation, and where automation fits.
How watchlist screening works: which lists to screen against, how to evaluate vendors, and how to build an alert workflow that survives an exam.
What causes AML alert backlogs, what regulators expect, and a risk-ranked plan to clear the queue without cutting corners on SAR quality.
How human-in-the-loop AML works in practice: which decisions automate safely, where analyst judgment stays mandatory, and what regulators expect.
What separates source of funds from source of wealth, when EDD requires each, and how to corroborate both without stalling onboarding.
Who counts as a PEP, what US regulators actually require, and a practical framework for risk-rating PEP customers — with FATF and FFIEC sourcing.
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.
KYB vs KYC compared for compliance teams: what each verifies, how FinCEN's CDD Rule anchors both, and where KYB gets operationally harder.
The SAR narrative 5 Ws — who, what, when, where, why, plus how — explained with FinCEN and FFIEC guidance and a structure examiners recognize.
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.
Beneficial ownership verification under FinCEN's CDD Rule: the 25% ownership and control prongs, verification methods, and what changed in 2025.
A practical framework for an AI pilot in AML compliance: scoping, shadow mode, model validation, and the go/no-go metrics that matter.
SAR filing requirements in 2026: the $5,000 threshold, 30- and 60-day deadlines, continuing activity timelines, and what the October 2025 FAQs changed.
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 transaction monitoring alert triage works: what L1 analysts close, what L2 escalates, what the FFIEC manual 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.
How to reduce false positives in transaction monitoring: data fixes, tuning, segmentation, and AI triage — plus what FinCEN says about using AI.