AML COMPLIANCE CO-PILOT

Your Compliance Team’s First-Line AI Reviewer

Shufti's AI Compliance Co-Pilot analyses every AML screening hit before your team sees it. It classifies risk, explains its reasoning, and prioritizes what needs human attention, so your analysts act on cases that carry real regulatory weight, not the ones that never did.

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Europe’s First iBeta Level 3 Certified Liveness Provider

Fraud Hub case review — multi-layer risk signals showing injection attack, device intelligence, document forensics, and biometric liveness correlated in one verification session

Capture Quality You Can Verify

Built to Reduce Review Load, Precision at Scale

Risk categories assigned per screening hit

4000+

Sanctions, PEP &watchlist sources screened

0–100

Confidence score with every AI classification

Trusted By 2000+ Clients Worldwide

AML Screening Already Works. The Review Queue Does Not

Why Compliance Teams Choose Shufti Co-Pilot Audit Layer

Evidence-Based Triage, Not Name Matching

Screening systems over-flag by design. One common name, 140+ hits. Policy requires every hit to be opened, compared, and documented. Shufti's Co-Pilot runs the first-line comparison automatically, classifying each hit and explaining the reasoning before your analysts touch the queue. They start at the decision, not the data.

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Multi-mode waterfall mockup — connected verification steps with auto-escalation.

Consistent Risk Language, Not Vendor Guesswork

Every vendor labels hits differently. Every analyst reads them differently. "Possible." "Review Required." "Potential Match." Shufti's Co-Pilot replaces all of it with five fixed AI statuses, applied uniformly to every hit. Your analyst, your MLRO, and your auditor work from the same language, every time.

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Privacy architecture mockup — on-device biometric processing with GDPR/EDPB alignment.

Human Oversight in Every Output

The Co-Pilot does not make compliance decisions. Shufti embeds the AI status, the reasoning behind it, and a regulatory disclaimer into every output, confirming the final determination rests with the MLRO. Transparency is not a setting. It is the output structure.

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Layered defenses mockup — liveness, face match, and document authenticity signals.

Native to Shufti's AML Screening Module

No second interface. No data export. No additional vendor. Shufti's Co-Pilot runs inside the existing AML screening module, same back-office, same workflow, same audit trail. Your team gains a first-line AI reviewer without changing how they work.

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Proprietary stack mockup — unified, in-house, single accountable verification architecture.

Built Into the Platform

What Shufti AI Compliance Co-Pilot Delivers

Search Intent vs. Hit Comparison

The Co-Pilot reads each hit's name, date of birth, nationality, entity type, and media context, then compares it against the person originally searched. Mismatches are identified and explained. Correlations are flagged for review.

Five Fixed AI Statuses

Every hit is assigned one of five statuses visible in the back-office: Potential True Positive, Potential False Positive, Uncertain, Potential Match, or Potential True Negative. Each status includes a written explanation of the data point that drove the assessment.

Analyst Override Dropdown

Analysts update any AI status through an integrated dropdown in the back-office. Every override is logged in the audit trail. No separate system. No data export.

MLRO Batch Narratives

Each screening batch generates a structured summary: total hits analysed, distribution by AI status, and a plain-language narrative for MLRO review and regulatory documentation.

Built for Transparency at Every Stage

How the Co-Pilot Moves a Hit From Queue to Decision

STEP 01

Hit Captured

Screening returns a hit. Co-Pilot captures it instantly.

STEP 02

AI Classification

Co-Pilot reviews the match and assigns an AI status with a clear reason.

STEP 03

Analyst Review

Analyst validates the result and updates the status if needed.

STEP 04

Batch Reporting

Co-Pilot generates a batch-ready narrative for MLRO sign-off.

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Trust, built-in. From first verification to every future interaction

One Platform. Full Identity Lifecycle

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User Verification

Onboard and authenticate legitimate users in seconds

Business Onboarding

Perform global KYB and due diligence with confidence

Authentication

Detect and block fraud at every touchpoint

monitoring & Compliance

Proactively manage risk and maintain regulatory compliance

User Verification

Onboard and authenticate legitimate users in seconds.

Face Verification

Confirm user identity and prevent spoofing with advanced 3D liveness detection and face verification.

Address Verification

Instantly confirm a user's address from utility bills, bank statements, and other documents against global database.

Document Verification

Instantly verify government-issued identity documents from over 230 countries and territories.

Age Verification

Reliably verify user age to meet regulatory requirements and protect your platform.

VideoIdent

Conduct real-time, agent-led identity verification through live video interviews for high-assurance KYC.

Fast ID

Achieve near-instant identity verification for low-risk users using minimal data points.

eIDV

Confirm user details against trusted government and financial data sources for added confidence.

NFC Verification

Read the secure chip in a passport with a simple phone tap for the highest identity assurance.

Consent Verification

Capture clear proof that your users agree to be verified, building trust and ensuring compliance.

Business Onboarding

Perform global KYB and due diligence with confidence

Business Verification

Automate the verification of business entities by checking data from global corporate registries.

Due Diligence

Streamline your enhanced due diligence process with customizable risk assessment and data collection.

Investor Verification

Securely verify the identity and accreditation status of investors for your platform.

E-Signature

Finalise agreements and sign up new users with secure, legally binding e-signatures.

Authentication

Detect and block fraud at every touchpoint.

Behavioural Biometrics

Silently confirm it’s your user based on their unique interaction patterns.

Device Intelligence

Identify devices in real-time by analysing unique attributes to block fraud.

Multi-Factor Authentication

Add a critical layer of security to user logins and high-risk actions.

monitoring & Compliance

Proactively manage risk and maintain regulatory compliance with continuous user and transaction monitoring.

AML Screening

Screen users and businesses against global sanctions, PEPs, and adverse media watchlists in real-time.

User Risk Assessment

Generate dynamic risk scores for every user based on their profile, behavior, and transaction history.

Transaction Screening

Monitor financial transactions in real-time to detect and block illicit or fraudulent activity.

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Industry Playbook

Bonus Abuse hits every sector differently

Trusted Sellers, Repeat Fraud Blocked

Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across the marketplace.

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Don't just take our word for it, hear from our customers

The Confidence Our Clients Share

The future of digital identity is defined by trust, interoperability, and regulatory alignment, so our partnership with Shufti reinforces DevCode Identity's commitment to supporting our global customers with the most secure, best-in-class, complaints identity verification solutions available today.

Combining our Conversion Driven Compliance Orchestration Platform with Shufti's global KYC and IDV capabilities allows our customers not only to navigate complex regulatory demands but also to maintain a seamless customer onboarding experience with the highest achievable conversion rates.

Mark Knighton

Chief Global Development Officer - Global Alliances, DevCode

Trusted. Verified. Awarded

Industry Recognition & Awards

Frequently Asked Questions

Does the Co-Pilot make final compliance decisions?

No. It is a risk assessment and prioritization tool. Every output includes a regulatory disclaimer confirming the final determination rests with the nominated MLRO.

What AI statuses does the Co-Pilot assign?

Five statuses visible in the back-office: Potential True Positive, Potential False Positive, Uncertain, Potential Match, and Potential True Negative. Each includes plain-language reasoning.

Can analysts override the AI assessment?

Yes. An integrated status dropdown allows analysts to update any assessment based on their own review. The override is logged in the audit trail.

How does the Co-Pilot handle PEP matches?

It identifies PEP class (Class 1 through Class 4), detects family relationships and generational suffixes, and flags Source of Wealth documentation requirements for high-risk matches.

What databases does it screen against?

3,500+ sources across 11 categories: Sanctions, PEP, PEP Class 1–4, Warning, Fitness Probity, Insolvency, SIP, and SIE. The Co-Pilot analyses every hit returned.

Does this require separate integration?

No. The Co-Pilot is native to Shufti’s AML screening module. It operates inside the existing back-office. No additional API calls, SDKs, or exports required.

Is the output audit-ready?

Yes. Every assessment includes the AI status, reasoning, and regulatory disclaimer. Batch narratives are generated automatically for MLRO review.

Why add AI if AML screening already exists?

Screening flags potential matches. For a common name, that can mean 140+ hits. The Co-Pilot sits between raw screening output and human review, identifying which hits warrant investigation and which do not.

Automate Low-Risk Approvals And Focus On Real Risk

Every hour spent confirming obvious false positives is an hour not spent on genuine risk. See how the AI Compliance Co-Pilot handles your screening data.

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