Classification, data extraction, cross-verification, and identity validation—ensuring accurate, consistent, and compliant customer onboarding from scanned or handwritten submissions.n.
Classification, data extraction, cross-verification, and identity validation—ensuring accurate, consistent, and compliant customer onboarding from scanned or handwritten submissions.n.
During the customer onboarding process, customers submit multiple documents including a handwritten customer form along with Financial documents like Salary Slips/Certificate, Tax documents, Bank Statements and KYC documents. These documents contain critical information such as the customer’s financial details like income, expenses, tax payments, full name, residential address, photograph, and signatures.
The manual process heavily relies on manual data entry and verification. Staff transcribe handwritten information into digital systems and cross-verify photos, names, addresses, and signatures across submitted documents for consistency. This labour-intensive approach is time-consuming and error-prone due to human fatigue and the complexity of matching varied documents. It also increases the risk of fraud and regulatory non-compliance, potentially exposing the institution to financial and reputational risks.
There is a need for automated solution to accurately extract and validate handwritten and printed information from multiple document types, recheck key data points across documents, and flag inconsistencies. Therefore, adopting an AI-powered document processing and validation system is essential to enhance customer onboarding experience.
The AI platform efficiently processes scanned or photographed documents, regardless of whether the information is printed or handwritten. It is a template free solution, allowing to handle a wide variety of submitted documents by automatically classifying each document type like application form, financial and KYC documents. After classification, advanced AI models extract data from each document, transforming unstructured inputs into a well-organized, structured representation of the customer’s data.
To ensure data consistency, the platform uses AI models to reconcile key information across multiple documents, detecting mismatches in demographic and financial details. It enhances identity verification with a face-matching module that compares the applicant’s photo from submitted form with images on official IDs like passports or national IDs. Additionally, customer signatures are matched against submitted KYC documents, if available, to validate authenticity.
An AI-powered validation engine, combined with rule-based checks helps in identifying discrepancies or missing information. Any inconsistencies are promptly flagged for manual review. By integrating a maker-checker process in this review stage, the platform enhances regulatory compliance, accountability, and transparency. By integrating with the bank’s core systems, the AI solution removes manual data entry, reducing processing time, improving accuracy, enhancing fraud detection, and ensuring regulatory compliance.
Auto-Validate Data Across All Documents
Faster Onboarding and Account Activation
Achieve 4–10x Boost in Productivity
35 to 40% Reduction in Errors
Identify risk and discrepancy across documents.
Enforce compliance through AI model and rules.
On-premise or cloud based easy deployment.
Extract and match from different documents.
API Integration with 3rd party systems.