Transaction MonitoringAnalyst decides · Evidence attached

Shrink your AML alert queue to the cases that need an analyst

AI agents review each alert against your scenarios, the customer's own history and similar past cases. Where you allow it, obvious false positives close with a recorded reason. The rest reach your analysts with the evidence already gathered.

Alert triage
Reviewing today's AML alerts
ALERTS REVIEWED
1284310
HELD FOR ANALYST
2140
Cash structuring
Deposits · 3 branches
₹9,40,000
RISK 86··
EscalatedScanning
High-value inbound
Salary account · annual bonus
$42,000.00
RISK 14··
ClosedScanning
Rapid movement
Dormant account · in and out
KWD 18,500
RISK 72··
AnalystScanning
Round amounts
Trade customer · outbound
JMD 4,500,000
RISK 58··
AnalystScanning
Velocity spike
Remittance business · Eid week
AED 260,000
RISK 21··
ClosedScanning
Repeat pattern
Same counterparty as July
$9,800.00
RISK 9··
ClosedScanning
AI REASONING · Cash structuringEscalated · Risk 86
Checking scenario, history, counterparties and past decisions…
Repeated just-below-threshold deposits3 branches in 6 daysNew for this customer
Deposits sit just under the cash reporting line across three branches. Sent to an analyst with the full deposit trail.
1 file
Every alert arrives with its evidence
Shadow mode
Runs beside your current system first
Kill switch
On every agent
Why alert queues keep growing

Your analysts spend the day re-proving what they already know

Rules fire on the same customers for the same reasons, month after month. Each alert means opening the same screens and writing the same note. The cases that deserve real attention wait in the same line as the noise.

Risk
30 days

The filing clock starts at detection

In the US, FinCEN gives you 30 calendar days from initial detection to file a SAR. India's PML Rules give 7 working days once you're satisfied a transaction is suspicious. A backed-up queue eats that window.

Risk
Repeat

Cleared alerts come back

A rule doesn't know your analyst closed the same pattern last month. So the same customer lands in the queue again, and someone repeats the same review.

Risk
5 years

Every closure has to stand up later

FATF Recommendation 11 asks you to keep transaction records for at least five years. An alert closed with "no concern" and no reason is a finding waiting for the next examination.

What FluxForce delivers

Every alert reviewed before an analyst opens it

Your monitoring system keeps generating alerts. Our agents pick each one up, gather what an analyst would gather, and decide where it goes based on rules you set.

CAPABILITY 01 / 06

Alert review against your scenarios

Reads the scenario that fired and the transactions behind it.
Compares the activity with the customer's own baseline.
Pulls counterparties, linked accounts and prior alerts.
Scores the alert so the riskiest reach your team first.
CAPABILITY 02 / 06

Closure with a reason, where you allow it

You choose which alert types, if any, can close without a person.
Every closure carries a reason code and the evidence behind it.
Supervisors can sample closures and reopen any of them.
Turn auto-close off for any scenario with one switch.
CAPABILITY 03 / 06

Analyst-ready cases

Transactions, customer profile and screening results land in one file.
A plain-language summary explains why the alert matters.
Analysts record their decision and reason code in the same place.
Escalations pass to reporting without retyping.
CAPABILITY 04 / 06

Memory of past decisions

Links each new alert to similar cases your team already decided.
Shows the earlier analyst's reason before anyone starts work.
Feeds every decision back so cleared patterns stop recurring.
Never overrides a decision your team has made.
CAPABILITY 05 / 06

Tuning evidence for your scenarios

Shows which scenarios produce the most closed-without-action alerts.
Gives your team data for threshold reviews.
Lets you test a rule change on past alerts before going live.
Keeps the record your model risk team will ask for.
CAPABILITY 06 / 06

Works with the system you have

Takes alerts from your existing monitoring system, no rip and replace.
Starts in shadow mode, beside your current process.
Runs as SaaS, on-premise or hybrid.
Every agent has a kill switch you control.
What changes for your team

Fewer screens per alert, and a reason behind every one

We don't publish accuracy numbers from demos. We'll measure the change on your own alerts in shadow mode, and you'll see the base rate, the scenario set and who reviewed the closures.

1
Case file per alert

Transactions, profile, screening and history in one place.

Every
Closure has a reason

Each alert closed, by a person or an agent, carries a reason code.

Your
Thresholds, your call

You set which alerts an agent may close and which always go to a person.

Shadow
Mode before go-live

Compare the agent's view with your team's decisions before anything changes.

Replay
For your examiner
Any decision can be replayed step by step, with the evidence as it stood.
The agents on this work

Three AI agents, one alert queue

Each agent has a defined job. Your analysts see who did what, and why.

Senior AI Fraud Risk Analyst

Aiden Flux

Scores each alert on the activity, the customer's baseline and the scenario that fired.

Behaviour baselines per customer
Alert scoring and prioritisation
Closure reasons where you allow it
View Agent Profile
Senior AI KYC/AML Compliance Director

Rhea Ledger

Adds the AML view: who the customer is, how they're rated and who they paid.

Customer risk rating in context
Counterparty screening
Escalation notes for your MLRO
View Agent Profile
Senior AI Audit Trail Specialist

Arin Narrate

Links every step to its evidence so the decision can be replayed later.

Timestamped case history
Evidence linked to each decision
Examiner-ready audit packs
View Agent Profile
Where it fits

Built for mid-market institutions

Most monitoring tools were built for tier-1 banks in the US and EU. Our agents work with local scenarios, local regulators and local reporting formats.

RETAIL AND COMMERCIAL
Banking
Focus
Cash and wire scenarios
Scope
Branch and digital channels
Shadow mode to go-live90 DAYS
Results
Alerts reach analysts with evidence attached
Repeat alerts on cleared patterns drop off
Every closure ready for examination
PAYMENTS, WALLETS, BROKERS
Fintechs
Focus
High-volume, low-value
Scope
Fast-changing typologies
Shadow mode to go-live90 DAYS
Results
Monitoring keeps pace with growth without hiring in step
Mule and pass-through patterns surfaced early
Evidence your sponsor bank can review
LCs, COLLECTIONS, OPEN ACCOUNT
Trade Finance
Focus
Documentary trade
Scope
Cross-border flows
Shadow mode to go-live90 DAYS
Results
Payments compared with the trade they claim to fund
Round-sum and third-party payments flagged
Findings ready for trade-based money laundering review
Questions? We Have Answers

Frequently Asked Questions

No. Your system keeps generating alerts. Our agents review those alerts and prepare the case, so you don't have to rip anything out.

Only if you allow it, and only for the alert types you choose. Every closure carries a reason code, supervisors can sample and reopen them, and every agent has a kill switch.

We start in shadow mode. The agent reviews the same alerts your team does, and you compare its view with your analysts' decisions before anything changes.

The full case history. The alert, the evidence gathered, the agent's reasoning, the analyst's decision and the reason code, each timestamped and replayable.

We build for the reporting formats and expectations of regulators in our markets, including RBI and FIU-IND in India, the Central Bank of Kuwait, the Bank of Jamaica and the UAE FIU's goAML reporting.

Your alerts, the transactions behind them and the customer record. More history means better baselines, but we can start with what your monitoring system already holds.

Take the first step

See how an investigation file is built

Pick one alert type. We'll run the agents in shadow mode on your own data and show you the cases they prepare. Your team decides what happens next.

DeploymentDAY 90
Discovery
Shadow mode
Integration
Controlled go-liveDAY 76–90+
Security and governance