The bank’s goal with Maisa was ambitious: achieve 80–90% success rates for fully automated loan document activations, with minimal manual intervention.
Their compliance and operations teams onboarded Maisa Digital Workers themselves using natural language instructions — no coding required. Configured to follow the bank’s procedures and rules, the Digital Workers now handle the process end-to-end:
Document Intake
Receives customer documents from multiple channels, regardless of format or quality, even low-quality scans.
Intelligent Classification
Analyzes structure, layout, and patterns to classify documents with 98% accuracy, across 40+ languages and formats.
Context-Aware Extraction
Extracts unstructured data aligned with business rules and compliance needs, with every field fully traceable for audit.
Structured Data Output
Formats results into standardized JSON with consistent field names and validation rules, flagging anomalies automatically.
Quality Assurance
Cross-field validation ensures data consistency, with hallucination-resistant Digital Workers logging every step in verifiable code for full auditability.
By combining automation with human feedback loops, the system continuously learns and improves, giving teams confidence to scale.
