Using Maisa Studio, the bank’s operations and compliance teams configured a Digital Worker to automate onboarding document processing from end to end. Built using natural language instructions, the Digital Worker requires no technical expertise and aligns perfectly with internal procedures.
Document Analysis
Reviews multi-page PDFs and identifies relevant pages for processing, ignoring irrelevant or duplicate content.
Automatic Classification
Recognizes and classifies document types such as identity proofs, bank statements, and payslips without human input.
Data Extraction
Captures essential data fields from each document category — including client details, account identifiers, and verification information — and prepares structured outputs for system integration.
Data Structuring
Organizes extracted information into standardized formats that feed directly into onboarding systems and compliance checks.
This seamless process ensures that every client document is validated, structured, and stored consistently across departments, enabling faster activation and more reliable compliance documentation.
The Results
Faster Onboarding
Client activation time was significantly reduced as document review and validation became fully automated.
Automatic Classification
Documents are now sorted and categorized without manual intervention, eliminating errors and saving operational time.
Accurate Extraction
Critical client data is captured systematically, improving the quality of downstream processes like KYC verification and account creation.
Scalable Operations
The new onboarding workflow handles rising document volumes effortlessly, enabling the institution to scale its client acquisition capacity without adding staff.
