Saolix Group
Decisions that hold up.
Technical writing from the people building Saolix: how AI and rules share a decision, how a screening record is sealed so tampering shows, and what it takes to build compliance software people can audit.
Writing from Saolix.
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Latest AMLTrade-based money laundering: five questions for a trade that does not add up
In trade-based money laundering the goods are a cover story and the real cargo is value. No single document gives it away, so the work is to rebuild the trade and ask whether it makes sense. Five questions an analyst can put to any trade, drawn from FATF and Egmont Group guidance.
Latest FraudWhen the customer presses send: who pays for a push payment scam?
In an authorised push payment scam the customer makes the payment themselves, so old fraud rules often left them with the loss. The UK now makes banks reimburse most victims, name checks before payment are spreading, and the FATF has set a global rule. What changed, what it shows, and what it means for any payments business.
AMLThe Travel Rule in practice: what has to travel with a crypto transfer
Banks have sent names with wire transfers for decades. The FATF's Travel Rule asks crypto businesses to do the same, on networks that were never designed to carry names. What has to travel, why it is hard, how far countries have got, and the questions a compliance team should ask.
AMLProliferation financing: the risk most AML programmes miss
Proliferation financing often moves clean money for ordinary-looking goods, so controls built to find criminal proceeds can pass it straight through. What the UN and the FATF require, how networks evade sanctions, and the questions a compliance team should ask.
AMLBeneficial ownership: finding the person behind the company
A company can be checked, registered and licensed, and still hide the person who really benefits from it. Beneficial ownership is the work of tracing every layer until you reach a human being. Why it matters, where the trail goes cold, and what a compliance team should do about it.
IdentityDeepfakes and liveness: what a selfie check can and cannot prove
A selfie check answers more than one question. Is it the same face, is a living person present, and did the video really come from the camera? What each layer proves, where deepfakes get in, and what an identity team should ask.
FraudMobile-money fraud: the patterns behind the losses
Mobile money moves value in seconds, to anyone with a phone. That is its strength, and it is why fraudsters favour it. The patterns behind most losses, why they work, and what a payments business can do at each stage.
AI governanceGoverning AI agents before they act
An AI agent does not stop at a suggestion. It takes steps, uses tools and works under an identity. Why that strains the way regulated institutions govern models, where the risk comes from, and the questions risk, compliance and operations leaders should settle before an agent goes live.
AI governanceRAG explained for risk and compliance teams
Retrieval-augmented generation lets a language model answer from your own documents and show where each answer came from. That makes it attractive for regulated work. What it is, why grounding and citations matter, where it still fails, and what to ask before you trust it.
Cyber SecurityPhishing and social engineering: why the attack still works
Phishing does not break systems. It persuades people to open the door. How the pressure works, the channels lures now arrive through, what AI has changed, and the controls and culture an institution needs so that one mistake does not become a breach.
AMLEast Africa's AML gap: compliant on paper, unproven in practice
An original reading of the five published mutual evaluations for Kenya, Uganda, Tanzania, Rwanda and Ethiopia. Technical compliance has risen sharply since the evaluations. Effectiveness has never been re-assessed in any of the five, and of the 55 effectiveness ratings those evaluations awarded, 48 are Low and none is Substantial or High.
ArchitectureThe determinism boundary in practice
How Saolix Eagle lets AI help an analyst without ever letting it make the decision: where the line sits, what is enforced in code, and what gets logged.
AuditTamper-evident by construction: how Eagle seals a screening
A screening decision is only as trustworthy as its record. How Saolix Eagle writes an interactive screening and its audit record together, seals them cryptographically, and lets you check the log on demand.
AI governanceWhy AI advises and rules decide
In regulated work, a decision has to be explainable, repeatable and owned by someone. That is why every Saolix product is designed so that AI can advise but never decide, and why we think this makes AI more useful, not less.
Sanctions screeningSanctions screening across alphabets: how Eagle matches a name
A sanctioned name can arrive in Cyrillic, Arabic or Chinese, misspelled, reordered or disguised with look-alike characters. A walk through how Saolix Eagle normalises, compares and scores a name, and why a strong name match alone is never enough to block.
IdentityIdentity decisions people can challenge
When an identity check says no, the applicant deserves a reason and a route to appeal, and the institution needs a record that holds up. How the eKYC module of Saolix Eagle builds minimums into code, requires two reviewers for high-risk decisions, and keeps the reviewer who recorded the rejection out of the appeal.
Every idea here is built into a product.
Read the argument, then inspect the evidence.
Saolix Eagle
AML, eKYC, fraud, SupTech and transaction security, where rules decide and every record shows if it was changed.
Explore Saolix Eagle → ProductsTwo products, one boundary
The same determinism boundary in every module of Saolix Eagle and in every agent in Saolix SaoHub.
See the products → TrustHow decisions stay defensible
The controls every Saolix product is built around.
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