Who should use the Identity Verification workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
Practical execution plan for identity verification with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
User's verified identity is active and recognized across all customer-facing and internal systems.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
User's verified identity is active and recognized across all customer-facing and internal systems.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Onfido to user's identity document is captured, validated as authentic, and matched to the live person. Then, you pass the output to SEON to identity is cleared against regulatory watchlists and internal fraud records, or flagged for review. Then, you pass the output to SEON to user's residential address is verified through a secondary document, reducing fraud risk. Then, you pass the output to SEON to a clear decision (approve, review, reject) is produced based on combined verification data and business rules. Then, you pass the output to SEON to all verification evidence is securely stored with a complete audit trail, ready for compliance review. Finally, Make is used to user's verified identity is active and recognized across all customer-facing and internal systems.
Collect and Validate Source Identity Documents
User's identity document is captured, validated as authentic, and matched to the live person.
Cross-Reference Against Watchlists and Databases
Identity is cleared against regulatory watchlists and internal fraud records, or flagged for review.
Verify Address or Secondary Proof (Optional)
User's residential address is verified through a secondary document, reducing fraud risk.
Perform Risk Scoring and Decisioning
A clear decision (approve, review, reject) is produced based on combined verification data and business rules.
Store Verification Artifacts and Audit Trail
All verification evidence is securely stored with a complete audit trail, ready for compliance review.
Sync Verified Identity Across Channels
User's verified identity is active and recognized across all customer-facing and internal systems.
Request the user to provide a government-issued ID (e.g., passport, driver's license) and a selfie. Use OCR and liveness detection to extract data and confirm the document is genuine and not tampered with. Ensure the photo matches the live selfie via facial comparison.
Why Onfido: Onfido provides document authenticity verification, biometric liveness detection, and AML screening, covering all three needs (OCR, liveness detection, facial recognition) in a single integrated platform.
Submit extracted identity data (name, DOB, ID number) to government sanctions lists, PEP (Politically Exposed Persons) databases, and internal blacklists. Automate this check to flag any matches or partial matches for manual review.
Why SEON: SEON provides real-time fraud detection, AML compliance screening, and identity verification with document checks, directly addressing sanctions screening, PEP database, and internal fraud DB needs.
If required by policy, request a utility bill, bank statement, or government letter with the user's name and address. Use OCR to extract address and match it to the user's declared address. This step is optional for low-risk scenarios.
Why SEON: SEON includes address verification as part of its identity verification suite, meeting the address validation API need, and can handle document checks via OCR.
Aggregate all verification results (document authenticity, facial match score, watchlist hits, address match) into a risk score. Apply business rules (e.g., score > 80 = auto-approve, 50-80 = manual review, < 50 = reject). Trigger appropriate action: approve, request additional info, or deny.
Why SEON: SEON provides AI scoring and behavioral analysis for real-time fraud detection, along with AML compliance and identity verification, effectively serving as a rules engine and risk scoring model.
Securely store all verification data (document images, selfies, OCR results, watchlist queries, decision logs) in an encrypted database. Generate a unique verification ID and timestamp for audit purposes. Ensure compliance with data retention policies (e.g., GDPR, KYC regulations).
Why SEON: SEON includes identity verification with document checks and liveness, and its platform typically supports audit logging and secure storage of verification artifacts.
Push the verification status and token to all integrated platforms (e.g., CRM, customer portal, support ticketing system). Update the user's profile with a 'verified' badge or flag. Ensure the identity is recognized consistently across web, mobile, and API interactions.
Why Make: Make provides cross-platform data synchronization and AI-agent workflow orchestration, enabling integration with CRM APIs and webhooks to sync verified identities across channels.
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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