Trust and Identity squad

An AI KYC/AML analyst your MLRO can check

Rhea Ledger, Senior AI KYC/AML Compliance Director, an AI agent by FluxForceRhea Ledger — Senior AI KYC/AML Compliance Director

Rhea Ledger is an AI agent that screens customers against sanctions and PEP lists, resolves look-alike names across scripts, refreshes KYC when something actually changes and rates customer risk on your own factors. She drafts STR, SAR and CTR content for your MLRO to review. Your team signs off.

Rhea Ledger
Rhea Ledger, Senior AI KYC/AML Compliance Director, an AI agent by FluxForce
Screening match #20917 reviewed
IllustrativeSent to analyst
Name match 0.88 · possible PEP
Flag explained
“Transliterated name matches, date of birth matches, nationality differs.”
FATF R.6FATF R.12
REPORTS TO
Your MLRO or Head of Compliance
Shadow mode first
How Rhea works with your team
Shadow mode
first: nothing acts until you say so
3 bands
of autonomy you configure
Every decision
has a replayable record
1 per agent
kill switch
SaaS · on-prem · hybrid
deployment
Product controls, not performance claims. Performance is measured on your data, in shadow mode.
The problem

The problem your compliance team faces every review cycle

Screening tools return long lists of possible matches, and most are namesakes. KYC refresh runs on a calendar, so a customer whose ownership changed last week waits years for a review. Every disposition still needs a reason someone can defend.

SCREENING QUEUE
Namesakes

make up most possible matches

Each one still needs a written reason.

Match noise

One name, a dozen spellings

Arabic, Cyrillic and Devanagari names transliterate several ways. Fuzzy matching catches them all, and an analyst has to check date of birth, nationality and address for each one by hand.

Stale KYC

Refresh by calendar misses real change

A new director, a new shareholder or a move to a higher-risk country changes a customer's risk today. A three-year review cycle finds it in year three.

Report drafting

STRs written from scratch, every time

Your MLRO pulls transactions, screening history and notes from separate systems before writing a narrative. The facts exist. Assembling them takes the day.

Job description

What Rhea Ledger does Job description

Rhea Ledger is a Senior AI KYC/AML Compliance Director. She sits beside your screening, onboarding and case management systems, works the match queue and prepares what your MLRO needs to sign off.

AI AGENT · TRUST AND IDENTITY SQUAD
Rhea Ledger, Senior AI KYC/AML Compliance Director, an AI agent by FluxForce
RHEA LEDGER
Senior AI KYC/AML Compliance Director
REPORTS TO
Your MLRO or Head of Compliance
WORKS WITH
Your screening lists, onboarding, core banking and case management systems
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Screen customers and counterparties against sanctions and PEP lists, and resolve look-alike names across scripts and jurisdictions
02Refresh KYC when an event changes the picture: ownership, directors, address, country or transaction pattern
03Rate customer risk on the factors and weights your compliance policy sets
04Draft STR, SAR and CTR content with the supporting facts attached, for your MLRO to review and approve
05Close clear namesake matches with a recorded reason, only in the risk bands you allow
AUTONOMY MODEL
Low risk
Can close clear namesakes on her own, if you allow it
LOW
Medium risk
Goes to an analyst by default
MEDIUM
High risk
Always goes to an analyst
HIGH
You set the threshold per rule.
Kill switch: Turn Rhea off at any time
Shadow mode

What to measure in shadow mode on your own data

We don't publish match accuracy from our own tests. Run Rhea beside your current screening process and measure what she does on your customers and your lists.

01
Namesakes closed with a reason
How many matches Rhea would close, and whether your analysts agree with each reason.
02
Analyst agreement
How often your analyst's disposition matches Rhea's recommendation, by risk band.
03
Missed-match review
Every true match Rhea scored low. Read this number first.
04
Event-driven refreshes
How many KYC reviews Rhea triggers from real changes, and how many your team confirms were needed.
05
Risk rating changes
Customers whose rating Rhea would move, with the factor behind each change.
06
Draft report edits
How much your MLRO changes in each STR or SAR draft before approving it.
07
Time to case-ready
Minutes from a screening match to a file an analyst can decide on.
08
Dispositions with evidence
Share of decisions with a replayable record. The target is all of them.
Shadow mode results belong to you. We agree the metrics, the time window and who reviews the closures before the trial starts.
How it works

How AI KYC and AML screening works with Rhea Ledger

Rhea Ledger connects beside your systems through APIs. Your screening lists and core stay where they are.

01

Ingest

Customer records, ownership data, screening hits and transaction summaries arrive through an API from onboarding, core banking and your screening provider. List updates and customer changes arrive as events.

02

Resolve

Rhea compares each possible match on name variants across scripts, date of birth, nationality, address and known associates. She scores the match and rates the customer on your own risk factors.

03

Route

Your autonomy settings decide what happens next. Clear namesakes can close with a reason if you allow it. Medium risk goes to an analyst by default. High risk, including likely true sanctions matches, always goes to an analyst.

04

Draft

Where a case points to suspicion, Rhea drafts the STR, SAR or CTR content with the facts attached. Your MLRO edits and approves it. Every step, its inputs and the approver go into tamper-evident evidence storage.

Want to see this on your data?

Run Rhea Ledger in shadow mode beside your current screening process. She resolves matches, rates customers and drafts reports, and nothing is closed or sent. Compare her calls with your analysts' before you switch anything on.

Request a shadow mode trial
Compliance and regulatory mapping

Regulatory frameworks Rhea Ledger supports

Rhea doesn't make you compliant. She produces the evidence these frameworks expect you to keep.

FATF Recommendations 6 and 12
Targeted financial sanctions and PEP controls. Every match Rhea resolves carries the facts that settled it.
FATF Recommendation 10
Customer due diligence kept current. Rhea triggers reviews when the customer's facts change.
FinCEN CDD Rule
US institutions identify beneficial owners at 25% ownership plus one control person. Rhea flags ownership changes that cross that line.
RBI Master Direction on KYC
Indian regulated entities run risk-based KYC and periodic updation. Rhea prepares the review file and STR drafts for the Principal Officer.
CBUAE and goAML
UAE reporting entities file STRs and SARs with the UAE FIU through goAML. Rhea drafts the content your MLRO reviews before it goes.
UK MLRs 2017 and OFSI
Risk-based due diligence and financial sanctions checks. Rhea records why each match was kept or closed.
Analyst view

What your compliance analyst sees

Fewer namesakes to clear by hand. Each real match arrives with its evidence.

BEFORE RHEA LEDGER
Every fuzzy match the screening tool returns
KYC reviews due by calendar date
Risk ratings set at onboarding and rarely revisited
STR narratives written from a blank page
Disposition reasons typed into a free-text box
AFTER RHEA LEDGER
Clear namesakes closed with a reason, where you allow it
Reviews triggered by real changes in the customer's facts
Ratings updated on your own factors, with the reason shown
Draft reports with the facts attached, ready for MLRO review
Every disposition replayable for an examiner
Options

How the options compare

CRITERIA Manual match reviewScreening tool only Rhea Ledger, Senior AI KYC/AML Compliance Director, an AI agent by FluxForceRhea Ledger
Time to first results A hiring and training cycleList setup and threshold tuning Shadow mode on your live data
Who decides AnalystMatch threshold, then analyst Analyst, inside autonomy bands you set
Why a match was closed Analyst notes, varies by personMatch score only Plain-English reason with the fields compared
KYC refresh trigger Calendar and ad hoc requestsCalendar Events in the customer's data, plus your calendar
Report drafting Written by handNot covered Drafted for MLRO review and approval
Where it's weaker Cost grows with match volumeHigh match noise across scripts Only as good as your customer data and lists, and needs past dispositions before you trust the bands
Trust Builders

Built for Regulated Financial Institutions

01

Configurable autonomy

Low risk can run on its own if you allow it. Medium risk goes to a person by default. High risk always goes to a person. You set the bands per rule, channel and transaction type.

02

Kill switch

Turn Rhea off without touching the other agents or your core systems. The switch, and who used it, is stamped on the record.

03

Shadow mode

Run Rhea on live data with nothing blocked or closed. Compare the calls with your team's before anything changes.

04

Explainability

Every decision answers why, in plain English, with the signals and the rule or policy behind it.

05

Audit trail

Each decision is stored with its inputs, its reasoning and the person who approved it, in tamper-evident evidence storage.

06

No migration

Agents connect beside your systems through APIs. Your core banking, screening and case tools stay where they are.

Questions? We Have Answers

Frequently Asked Questions

FluxForce

Still have questions?

Talk to the people who build the agents. We'll answer per capability, yes or no.

It works the screening and due diligence queue that analysts handle today. Rhea Ledger resolves sanctions and PEP matches, triggers KYC reviews when customer facts change, rates customer risk on your factors and drafts suspicious activity reports. Your analysts and MLRO review and approve the outcomes.

No. Rhea drafts the content with the supporting facts attached. Your MLRO or Principal Officer edits it, approves it and submits it through your usual channel, such as goAML, FINnet or FinCEN's system.

Only clear namesakes, only in the risk bands you allow, and each closure carries a recorded reason. Likely true sanctions matches always go to an analyst. A kill switch turns Rhea off without touching your other systems.

Rhea compares transliteration variants alongside date of birth, nationality, address and known associates. A name match on its own isn't enough to close or escalate. The reason she gives lists which fields agreed and which didn't.

No. She works with the lists and hits your current provider produces, and with your onboarding and core systems. You keep your lists and add Rhea's resolution and drafting on top.

Rhea works your live match queue and drafts reports, but nothing is closed or sent. Your analysts keep working as they do today, and you compare Rhea's calls with theirs. You decide whether, and where, to switch on any autonomy afterwards.

FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.

Shadow mode trial

See Rhea on your data before anything changes

Run Rhea Ledger beside your current process. She works on your live data and records every call, and nothing is blocked, closed or sent until you decide.

  • Runs in shadow mode on your own data, next to your team
  • You agree the metrics, the time window and who reviews the results
  • Kill switch and a replayable record of every decision from day one
  • SaaS, on-premise or hybrid, with data residency agreed up front

Shadow mode results belong to you.

Take the first step

AI agents that prepare the case. Your team makes the call.

Start with one workflow in shadow mode, then decide how much each agent does on its own.

How we start
Discovery and scoping
Integration beside your systems
Shadow mode
Controlled autonomy
Govern and improve