Catch fraud and laundering
on a single engine.

Run rules, ML, and graph in parallel on every transaction across the FRAML risk surface, so a fraud signal and a laundering typology never live in separate systems.

DETECTION

Score every transaction for fraud and laundering in one pass.

Run rules and ML models in parallel on every transaction with sub-second scoring, so a fraud signal and an AML typology never live in separate systems.

Sub-second scoring
Score every transaction in real time, with rules and ML running in parallel.
FRAML on one engine
Run fraud and AML detection on the same model and the same case.
Configurable thresholds
Set the cut-off by risk tier, customer segment, and geography in the console.
Explainable per call
Every score carries the signals that drove it for the analyst to read.
Score every transaction for fraud and laundering in one pass.
Build, test, and ship a rule the same day.
RULES

Build, test, and ship a rule the same day.

Edit rules in a visual editor with hundreds of transaction attributes, preview the projected alert volume against historical data, and shadow-test the change against live traffic before anything reaches production.

Visual rule builder
Drag and drop conditions from 200+ transaction, counterparty, and customer attributes.
Shadow mode on live traffic
Run the new rule alongside production without firing real alerts.
Backtest on history
Preview the projected alert volume against the last quarter of data.
Maker-checker approvals
Require a second approver on every rule change before it ships.
ML & TYPOLOGIES

Catch the laundering patterns rules cannot describe.

Score every transaction against 40+ FRAML typologies, including structuring, layering, smurfing, mule activity, and synthetic-identity payouts, so patterns that look clean at the rule layer surface at the model layer.

40+ typologies covered
Models trained on structuring, layering, smurfing, mule, and synthetic-identity flows.
Tunes from analyst feedback
Every closed alert sharpens the next score against your own portfolio.
Hybrid with rules
Combine model scores with policy rules instead of choosing between them.
Drift monitoring
Track model performance against fresh data and flag the drift before it bites.
Catch the laundering patterns rules cannot describe.
Surface the ring before the next transaction clears.
NETWORK

Surface the ring before the next transaction clears.

Map relationships across accounts, counterparties, and devices on the cross-customer graph, so coordinated laundering, mule rings, and bust-out patterns surface even when each transaction looks compliant in isolation.

Cross-customer graph
See devices, counterparties, and instruments shared across the entire portfolio.
Multi-hop traversal
Walk the full ring instead of stopping at the immediate counterparty.
Network score on every alert
Feed graph signals straight into the model score the analyst opens.
Ring view on open
Hand the investigator the connected accounts already grouped.
OPERATIONS

Work the alert from arrival to filed SAR on one record.

Rank every alert before it hits the queue, hand the investigator a case with the customer timeline, counterparty history, network graph, and AI-drafted narrative already attached, and file the SAR through the regulator portal with the audit trail sealed.

Risk-ranked alert queue
Score and rank alerts so analysts work the highest-risk cases first.
Full case on open
Customer timeline, counterparty history, and graph compiled before the reviewer opens the file.
AI-drafted SAR narrative
Investigator edits the draft, signs off, and files in one place.
Audit trail sealed
Carry an immutable record from alert through submission.
Work the alert from arrival to filed SAR on one record.

CHANNEL COVERAGE

Cover every rail the team's customers transact on.

One model scores card, wire, account-to-account, and crypto activity, so the queue stays unified regardless of channel.

Card payments

Score authorisation, posting, and chargeback activity across the major card networks and the local schemes that matter in each market.

Wires and bank transfers

Cover SWIFT, SEPA, BACS, and domestic ACH on the same engine the team uses for any other rail.

Instant and A2A rails

Monitor UPI, FedNow, PIX, FPS, and the rest of the instant-payment surface, at the sub-second latency the rail demands.

Crypto and digital assets

Score on-chain transfers, exchange flows, and stablecoin activity with the same typology models the team runs on fiat.

Built for the operational realities of FRAML.

Plug the platform into the controls, the audit, and the portals the team already runs.

See the platform

Defend every alert with reason codes attached.

Every model output and rule fire names the signals behind it, so the analyst sees the why on open and the examiner sees it on audit.

Build rules from 200+ transaction attributes.

Compose conditions across transaction, counterparty, customer, device, and channel data on a single canvas.

Govern every change with role-based approvals.

Require maker-checker on every rule, threshold, and policy change before it reaches production.

File through the portals the team already uses.

Direct integrations into the major regulatory submission portals, including goAML, so the SAR clears in one click.

TRUST & INFRA

Run it where the team runs everything else.

Stream the data in, stream the decisions out, and host the engine where the regulator and the platform team expect it.

  • Open API ingestion and decisioning.
    Stream transactions, customer data, screening hits, and ledger events over open APIs, webhooks, and direct connectors, so monitoring reads the system of record instead of a stale copy.
  • SaaS, VPC, or on-prem deployment.
    Start on hosted SaaS for fast time-to-value, run in your virtual private cloud where sovereignty matters, or deploy on-prem where the regulator demands it.
  • Data residency and encryption on your keys.
    Pin data to the region the regulator names and encrypt every record at rest and in transit, with bring-your-own-key support where the team needs it.
  • Enterprise compliance and immutable audit.
    SOC 2 Type II, ISO 27001, and GDPR-aligned, with an immutable audit trail across every model, every rule, and every case action.
WHY ONELATTICE

Run the entire FRAML workflow on one platform.

Ship rule changes without filing an engineering ticket.
Edit a rule in the console and watch it land in production the same morning, instead of waiting on a deployment queue.
Defend every model decision in plain language.
Carry reason codes on every alert and case, so an examiner reads the why off the record without a model-risk review opening behind it.
Carry the case from alert through filed SAR on one record.
Detect, investigate, draft the SAR, and file it without leaving the platform or copying data between tools.

Outcomes

Cut alert noise by 85% in 90 days.

85%

Cut false positives within 90 days of going live.

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<2 min

Average alert-to-disposition time for analyst triage.

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4x

More transactions monitored per analyst, on the same headcount.

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Agents on this workflow.

OneLattice's purpose-built agents that handle this work end-to-end.

Triage Agent

Works the FRAML queue end to end and learns from every analyst disposition.

Investigator Agent

Builds the FRAML case before the investigator opens it and recommends the next action.

Typology Researcher

Tracks FinCEN, FATF, and Europol typologies and applies them as a current risk lens on every alert.

Rule Building Assistant

Turns a plain-English rule description into production-ready logic the team can ship.

Rule Simulator

Replays any new rule against historical data and predicts alert volume and false-positive rate.

SAR Drafter

Drafts SAR narratives aligned to your team's SOP and the reason codes already on the case.

See the full agent roster

PLATFORM

Take the same stack across the rest of the fraud and AML work.

One platform from onboarding through monitoring and investigation.

Transaction Screening

Hold or release every payment in milliseconds against sanctions.

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Sanctions Screening

Screen entities and UBOs against every list update in real time.

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Mule Detection

Surface mule accounts and the rings behind them.

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Payment Fraud Prevention

Stop card and ACH fraud on every transaction.

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Customer Risk Assessment

Tier every customer at intake so monitoring thresholds adapt to their risk profile.

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Single Customer View

Stitch the transactions, the screening hits, and the risk profile into one customer record the team reads.

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Case Management

Work every AML case in one queue with the evidence assembled.

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Investigation & Reporting

Draft SARs and STRs with the audit trail attached.

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See OneLattice in action.