IBOTIX.ai

Touchless Document Intelligence

Client Overview

A leading financial services organization processing high volumes of invoices, onboarding forms, KYC documents, and handwritten applications faced growing challenges in extracting and validating information accurately.

The Challenge

The institution encountered several operational issues:

  • Manual extraction of data from unstructured financial documents
  • Difficulty processing handwritten forms and low-quality scans
  • Delayed document validation and onboarding workflows
  • High dependency on manual data-entry teams
  • Inconsistent extraction accuracy across document formats
  • Limited visibility into document-processing operations

The Solution

IBOTIX implemented a Touchless Document Intelligence System using The Doc Forensics to automate extraction, validation, and orchestration with OCR Automation and Agentic AI.

Key Features Implemented

  • AI-powered document extraction workflows
  • OCR-based handwritten and low-quality document recognition
  • Agentic AI-powered workflow orchestration
  • Template-free intelligent document processing
  • Automated discrepancy detection systems
  • Real-time document analytics dashboards

Implementation Approach

Phase 1: Document Workflow Assessment

  • Evaluated existing document-processing operations
  • Identified manual bottlenecks and extraction inefficiencies
  • Mapped financial document formats and validation workflows

Phase 2: The Doc Forensics Deployment

  • Implemented The Doc Forensics and configured OCR Automation models
  • Enabled template-free extraction and Agentic AI orchestration

Phase 3: Workflow Visibility & Integration

  • Built centralized document-monitoring dashboards
  • Configured automated discrepancy and validation workflows
  • Integrated reporting and approval systems

Phase 4: Optimization & Accuracy Enhancement

  • Improved extraction accuracy for unstructured documents
  • Reduced manual intervention and data-entry dependency

Results Achieved

Operational Improvements

  • Faster document extraction and processing workflows
  • Reduced manual data-entry dependency
  • Improved workflow visibility and operational efficiency

Accuracy Enhancements

  • Improved extraction accuracy across multiple document formats
  • Reduced validation inconsistencies and operational errors

Business Impact

  • Improved onboarding and financial-processing efficiency
  • Reduced operational costs and manual workload

Key Outcomes

  • The Doc Forensics for Intelligent Document Processing
  • Agentic AI-powered document orchestration
  • OCR Automation for handwritten-document extraction

Conclusion

The Touchless Document Intelligence implementation modernized financial-document operations—automating extraction, validation, and onboarding workflows to improve operational efficiency and scalability.

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