Truvis AML Checker

Spot risk early, act faster

Get instant visibility into potential financial crime, reputational, and regulatory risks backed by multi-signal risk intelligence

Smarter than a list search, faster than a manual Google check.

AI-powered engine runs structured open-source searches across regulatory, legal, environmental, and reputational domains - returning clear, explainable risk bands.

1

Adverse mentions

Fraud, corruption, embezzlement, or criminal activity in public sources

2

Legal & court records

Lawsuits, convictions, or tribunal outcomes

3

Sanctions & PEP

Mentions linked to UN, EU, OFAC, OFSI, or politically exposed persons

4

Financial crime

Insider trading, shell companies, tax evasion, market manipulation

5

Regulatory & country risk

FATF, FinCEN, FATCA, OSCE, or high-risk jurisdiction listings

6

ESG & human rights

Environmental crimes, forced labour, trafficking, modern slavery

7

Web & forums

Leaked data, whistleblower posts, or scam reports

8

Domain-scoped media

Trusted outlets like Reuters, Bloomberg, SEC, and justice.gov

9

Aliases & transliteration

Name variations and local language equivalents

10

Temporal scoring

How recent and credible each mention is

Why it matters?

No storage by default, your searches are not saved or logged   •  Transparent scoring with every risk flag links to its public source 

Most AML tools rely only on static lists.

Real risk hides in the open web - in news, regulatory releases, and court archives.

Our Ai engine merges both worlds: official sources + open intelligence, giving a fuller picture of exposure.

Demand for transparent
and explainable risk intelligence


From fintechs to law firms, organisations are under rising pressure to prove they truly understand who they’re dealing with. Manual AML checks are slow, inconsistent, and miss early risk signals that could save millions.

Uncover hidden exposure across sanctions, financial crime, ESG breaches, and reputational leaks, all in seconds, with full traceability.

As regulations tighten across the UK, EU, and U.S., demand for fast, explainable due-diligence tools is accelerating. 

68%

of teams say manual AML screening is the biggest operational bottleneck - 
Thomson Reuters Risk Survey 2024

$4.3 Billion

Global RegTech market growth projected in 2025 - Deloitte RegTech Outlook

92%

of institutions plan to adopt AI or automation in their AML workflows within 2 years - FATF compliance Report

“We used to spend hours cross-checking names manually across sanction lists and public databases. The Parrot AML Checker flags exposure across multiple jurisdictions instantly, and the accuracy has been impressive even for complex entities.”

Compliance Lead

Beta user - Mid-size Fintech

Efficiency gains

Make AML effortless

Cut error-prone admin, reduce regulatory risk,
and reclaim hours every week.

62%

Faster client onboarding
Clients using our redesigned AML/KYC workflows reduced onboarding time from days to hours.

82%

Reduction in compliance errors
Teams reported fewer document mismatches, missed checks, and SAR delays after implementing our AI-assisted CDD process.

65%

Increase in case / project throughput
Law firms and accountants using our UX-first intake forms and dashboards closed more cases, faster.

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