AMLR Solutions
AMLR Consultation
Onboarding
Ongoing Monitoring
FRAML
KYC
KYB
KYI
Age Assurance
Workforce IAM
Candidate Verification
Account Takeover
Bonus/ Promotion Abuse
Chargeback Fraud
Deepfake
Document Fraud
Fraud Networks
Impersonation Fraud
Money Mule Activity
Multi-Accounting
Party Fraud
Regulatory & Compliance Risks
Synthetic Identity Fraud
Adult Content
Banking
Crypto
Fintech
Forex
Compliance
Fraud prevention
Trust & safety
Global expansion
Compliance Officers
Developers
Fraud Analysts
Product Managers
Advanced Journey Builder (AJB)
Global Trust Platform
Customer Profiles
Vendor Comparison
IDV Case Management
AML Case Management
Regulatory Reporting
Travel Rule Protocols
Agentic Rule Builder
AI Compliance Co-Pilot
Fraud Analytics
Fraud Hub
OCR
Shufti AI
Bank Account Verification
Biometric Duplication
Database Checks
Document Intelligence
Government ID
Mobile Driver's License
NFC
Selfie Liveness
Brand Personalisation
Deployment Options
Identity Methods
IDV Modes
Multi-tenancy
On-Premise IDV
Secure Capture
Document Intelligence
Document Intelligence For Financial Risk Detection
Verify income, detect fraudulent bank statements, and assess financial risk from supporting documents using forensic analysis, AI-driven OCR, and behavioural intelligence.
The World's Largest Identity Network
The Enterprise Standard For AI-Powered Document Intelligence
Authenticity And Originality Assessment
Multiple forensic detection layers analyse every document for formatting inconsistencies, metadata tampering, font mismatches, and image-level artefacts that distinguish native PDFs from synthetic or reconstructed files. Documents that pass visual inspection are flagged when structural indicators contradict the surface presentation.
Structured Data Extraction
99.7% accurate OCR across 150+ languages and scripts across 240+ regions actively processed. Processes PDFs, images, scans, and screenshots in under 15 seconds. Extracts names, addresses, account numbers, transaction line items, salary figures, and financial totals into structured, machine-readable output.
Interpretive Analysis Via AI Engine
Goes beyond field extraction to analyse what the data means. The AI engine detects irregular deposit patterns, income-expenditure mismatches, transaction clustering, and spending behaviour inconsistent with the stated financial profile. Output is a structured risk assessment, not raw data.
DOCUMENT INTELLIGENCE CAPABILITIES
Shufti's Advanced Document Intelligence Capabilities
Document Processing Pipeline
Document Submission
Users submit bank statements, utility bills, salary slips, or tax documents as images, PDFs, scans, or screenshots. No format restrictions.
Document Processing
Shufti's AI pipeline runs document authenticity validation, optical character recognition, and data normalisation in a single pass. Unstructured documents become machine-readable financial and identity data.
Intelligence Analysis
Submits the account holder name alongside account details and returns a match verdict without exposing the name on file.
IBAN Validation
Submits the account holder name alongside account details and returns a match verdict without exposing the name on file.
Decision Output
The system produces actionable outputs including responsible gambling indicators, estimated salary breakdown, AML risk signals, and affordability insights. Results integrate directly into risk engines, fraud systems, or compliance workflows.
Analytical Capabilities
Responsible Gambling Risk Signals
Available across bank statements, tax bills, salary slips, and utility bills. Shufti analyses transaction patterns to identify potential indicators of problematic gambling behaviour. Detected signals include escalating gambling activity over time, frequent gambling-related transactions, and spending patterns outside an individual's apparent financial capacity. With the UK Gambling Commission's affordability framework now in phased rollout, operators need automated analysis of financial documents.
Salary and Income Estimation
Financial documents submitted during onboarding or ongoing checks contain enough data to estimate monthly salary and income structure. Shufti extracts and analyses salary deposits, income source patterns, and payment consistency across submitted statements. The output includes estimated monthly salary, identified income sources, and consistency checks that flag irregularities such as missing pay periods or mismatched amounts.
Money Laundering Risk Indicators
Transaction pattern analysis within financial documents to identify potential indicators of suspicious activity. Signals under development include money mule account behaviour, unusual transaction frequency, structured deposits or withdrawals, and high cash usage patterns.
Affordability Assessment
Evaluation of whether spending behaviour aligns with financial capacity, based on income versus expenditure patterns, recurring financial obligations, and disposable income estimation. Designed for regulated sectors where affordability verification is mandatory or becoming so.
Single API, Seamless Integration
Build fully customisable verification flows with seamless backend integration.
- Gain full control by customising verification flows end-to-end.
- Integrate seamlessly with your backend for quick implementation.
- Design flexible verification journeys tailored to your users.
Launch a native verification experience in your mobile app within minutes.
- Launch native verification within minutes on iOS or Android.
- Use ready-made UI with camera, capture, and real-time feedback.
- Customise flows to fit seamlessly into your mobile app.
With KYC Journey Builder, create personalised verification journeys without writing a single line of code.
- Customise your journey effortlessly with drag-and-drop functionality.
- Instantly see how your verification flow looks for your users.
- Easily connect with Hosted Verification for a consistent, branded experience.
Run Shufti within your own identical-capability infrastructure for maximum data control and privacy.
- Keep all sensitive information in-house to meet strict governance and data residency requirements.
- Keep sensitive information fully private and secure in-house.
- Deploy in highly regulated sectors without compromising compliance.
Where AI Face Verification Fits Best
Built For Regulated & High-Risk Businesses
Built For Regulated & High-Risk Businesses
Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across verified records.
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, compliant 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.
We’re proud to continue our partnership with Shufti as we expand into new jurisdictions.
Shufti’s verification technology not only strengthens our compliance framework but also ensures our players enjoy a smooth, secure onboarding experience.
We aim to offer our clients and their traders the very best tools with which to do their jobs, we’re excited to be able to work with Shufti.
They’re a leading company, and we’re looking forward to offering their solutions to our clients through our CRM.
The relationship with Shufti was born out of frustration with an existing provider, so we started our discussion with Shufti.
The response time was excellent, from the start of speaking to sales to getting up and running with the demo.
COMMON QUESTIONS
Frequently Asked Questions
What document types does Shufti Document Intelligence support?
Bank statements, utility bills, salary slips, tax documents, and other supporting financial documents. Files can be submitted as PDFs, images, scans, or screenshots.
How does document authenticity detection work?
Forensic image analysis, metadata validation, and AI-driven pattern detection examine document structure, formatting consistency, and file-level indicators to identify edited, synthetic, or template-generated documents.
What responsible gambling signals can the system detect?
Escalating gambling activity over time, frequent gambling-related transactions, and spending patterns inconsistent with the individual’s financial profile, based on transaction data within submitted bank statements.
How accurate is the OCR extraction?
99.7% accuracy across 150+ languages and scripts across 240+ regions actively processed, benchmarked against financial and identity documents.
Can Document Intelligence integrate with existing compliance systems?
Results can be delivered directly into risk engines, fraud detection systems, or compliance workflows via API.
What is the difference between document intelligence and standard document verification?
Standard verification extracts data fields and checks for visual tampering. Document intelligence adds interpretive analysis using an AI engine to assess financial behaviour patterns, income plausibility, and risk signals that field extraction alone cannot identify.
Evaluate Whether Your Current Stack Detects AI-Generated Documents
AI-generated bank statements now bypass most verification tools. Test your stack before fraudsters do.