New Client Onboarding
A global financial institution modernized its client onboarding process using Maisa Digital Workers. The bank previously relied on manual document handling for customer identification, which caused delays and increased operational costs. With Maisa, onboarding documentation is now automatically classified, analyzed, and processed, dramatically reducing activation time while improving accuracy and scalability across regions.
Industry
Banking & Financial Services
Department
Banking & Financial Services, Retail & Commercial
The Challenge
Onboarding new clients in wealth and investment management involves managing a wide range of documents, from identity verification and IBAN confirmations to proof of address and income validation. Each file type has different formats, layouts, and requirements, making automation difficult and slowing customer activation.
The bank’s teams had to manually open and review each document, sort it into the right category, and extract key fields such as account numbers, addresses, and signatures. PDFs often contained multiple document types combined into a single file, with irrelevant pages that required manual filtering.
These repetitive and time-consuming tasks extended onboarding timelines and created inconsistency between regions and teams. With thousands of clients processed each month, even small inefficiencies translated into major operational costs and slower service delivery.
The Solution
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.
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