Policy and practice stop matching
A threshold gets tuned, a scenario gets switched off, a review step gets skipped under pressure. The written policy never hears about it until an examiner compares the two.



28 specialized agentsAll systems operational
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Aiden FluxSenior AI Fraud Risk AnalystFraud Detection & Risk Scoring
Rhea LedgerSenior AI KYC/AML Compliance DirectorKYC/AML & Sanctions Screening
Nova SentinelLead AI Zero Trust Security ArchitectZero Trust Access Security
Iris VermaAI Verification SpecialistIdentity Verification & KYC
Oscar GraySenior AI OSINT Intelligence DirectorOSINT & Threat Intelligence
Bella NovaAI BNPL Risk AnalystBNPL Risk Monitoring


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions
Zara Trustwell — Director AI Regulatory ComplianceZara Trustwell is an AI agent that maps your obligations by jurisdiction and turns written policy into controls your compliance team reviews and approves. She checks agent and analyst decisions against those controls and prepares regulatory reports as drafts for your MLRO to sign off. Your officers stay accountable.

Your policy says one thing. Your screening rules, monitoring scenarios and analyst procedures were set up years ago and say another. Each new rule from a regulator means re-reading the policy, finding the affected controls and checking that teams actually changed them.
to trace one policy change to every control
Regulators ask for the trace, not the policy.
A threshold gets tuned, a scenario gets switched off, a review step gets skipped under pressure. The written policy never hears about it until an examiner compares the two.
A group operating in the UAE, India and the UK answers to different supervisors with different rules. The mapping usually lives in a spreadsheet that one person understands.
Regulatory reports pull figures from screening, monitoring and case systems. Someone copies them into a template each period and hopes the definitions haven't changed.
Zara Trustwell is a Director AI Regulatory Compliance. She connects your obligations, your written policy and the controls that run in your systems, and shows your compliance team where they don't match.

We don't publish performance numbers from our own tests. Run Zara Trustwell beside your current compliance process and measure what she finds in your policies, controls and decisions.
Zara Trustwell connects to your policy library and decision systems through APIs. Your systems stay where they are.
Zara reads your policies, procedures and obligation register, plus decision logs from your screening, monitoring and case systems and from other FluxForce agents.
She links each obligation to the policy statement that covers it and the controls that put it into practice. Gaps and conflicts go to your compliance team as a list, with the source text attached.
Approved controls become checks. Zara tests agent and analyst decisions against them and flags exceptions. Low-risk passes can be logged on their own if you allow it. Exceptions go to a person.
At period end she prepares regulatory reports and returns as drafts, with each figure traced to its source. Your MLRO reviews, edits and signs off. The draft, the edits and the approver go into tamper-evident evidence storage.
Run Zara Trustwell in shadow mode against one policy area and one jurisdiction. She maps, checks and drafts, and nothing changes in your live controls. Compare her findings with your last internal review.
Zara doesn't make you compliant. She keeps the link between each obligation, your policy and the control that meets it.
One map from obligation to control. Exceptions arrive with the source text attached.
| CRITERIA | Compliance consultants | GRC software | Zara Trustwell |
|---|---|---|---|
| Time to first results | An engagement cycle | Configuration and data entry | Shadow mode on one policy area |
| Who approves controls | Your compliance team | Your compliance team | Your compliance team, from Zara's drafts |
| Checking decisions against policy | Sample-based reviews | Manual attestation | Checks decisions against approved controls |
| Keeping up with policy changes | At the next engagement | When someone updates the records | Lists affected controls when policy changes |
| Report preparation | Advice, rarely the report | Templates you fill in | Drafts for MLRO sign-off, figures traced to source |
| Where it's weaker | Expensive and periodic | Tracks controls but doesn't read decisions | Doesn't interpret new law for you. Your compliance team and counsel still decide what a rule means |
Zara sets the controls. These agents supply the decisions and evidence she checks them against.

Links every decision Zara checks to its evidence and builds the audit pack.
Meet Arin
Runs the screening and KYC controls Zara maps, and drafts the STR and SAR content she tracks.
Meet Rhea
Covers the model risk side of the controls Zara maps.
Meet RiyaLow 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.
Turn Zara off without touching the other agents or your core systems. The switch, and who used it, is stamped on the record.
Run Zara on live data with nothing blocked or closed. Compare the calls with your team's before anything changes.
Every decision answers why, in plain English, with the signals and the rule or policy behind it.
Each decision is stored with its inputs, its reasoning and the person who approved it, in tamper-evident evidence storage.
Agents connect beside your systems through APIs. Your core banking, screening and case tools stay where they are.
What we're learning about AML, fraud and the evidence examiners ask for.






Talk to the people who build the agents. We'll answer per capability, yes or no.
It's an AI agent that does the mapping and checking work behind a compliance function: linking obligations to policy and controls, testing decisions against those controls and drafting reports. Zara Trustwell doesn't hold the officer role. Your MLRO or compliance officer stays named, accountable and in charge of every sign-off.
No. Zara prepares and checks. Your MLRO reviews her drafts, approves controls and signs every report. Exceptions on medium and high risk always go to a person. A kill switch turns Zara off without touching your other systems.
No. She prepares drafts with each figure traced to its source. A named person on your team reviews, signs off and submits through your usual channel, such as goAML, FINnet or the UKFIU portal.
Zara works with the obligations you load or approve for each jurisdiction where you operate. FluxForce focuses on India, the UAE, the Philippines, Kuwait, Jamaica, Mauritius, Kenya, the US and the UK. Your compliance team confirms how each obligation is read before it becomes a control.
Zara maps one policy area, checks decisions and drafts a report, but nothing changes in your live controls or filings. You compare her findings with your last internal review and decide what to switch on afterwards.
Your policies and procedures, an obligation register if you have one, and decision logs from screening, monitoring and case systems. Past audit findings and examiner letters help her find the gaps your supervisor already cares about.
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.
Run Zara Trustwell beside your current process. She works on your live data and records every call, and nothing is blocked, closed or sent until you decide.
Shadow mode results belong to you.
Start with one workflow in shadow mode, then decide how much each agent does on its own.