Client Experiences
Organizations across Malaysia have implemented our document intelligence solutions to reduce manual processing effort and improve data accuracy in their workflows.
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What Our Clients Say
Real feedback from organizations working with our document processing solutions
Michelle Soo
Operations Manager, Petaling Jaya
The assessment phase helped us understand exactly which of our invoices would benefit from intelligent processing before we committed to implementation. The accuracy estimates they provided matched what we've seen in production.
January 15, 2026
Rahman Ahmad
Finance Director, Kuala Lumpur
Their custom model training on our specific invoice layouts made a noticeable difference. The system handles our main supplier formats well, though we still route some unusual layouts for review as expected.
January 22, 2026
Linda Tan
IT Manager, Shah Alam
The integration with our existing document management system went smoothly. They worked with our technical team to establish appropriate data flows and validation checkpoints that fit our requirements.
January 18, 2026
Kevin Lim
Procurement Head, Penang
We appreciated the transparent approach about what accuracy levels were achievable. They set realistic expectations and the thirty-day stabilization period allowed for addressing edge cases we hadn't anticipated.
January 10, 2026
Sarah Ng
Accounts Supervisor, Johor Bahru
The optimization service helped us address accuracy gaps that developed after we started receiving invoices from new suppliers. The before-and-after metrics clearly showed the improvement in extraction quality.
January 28, 2026
Ahmad Hassan
Business Analyst, Subang Jaya
Having field-level accuracy reporting gives us visibility into exactly which data points are being extracted reliably. This helps us decide where to trust the system and where human review adds value.
January 25, 2026
Success Stories
Detailed examples of document processing implementations
Accounts Payable Automation for Distribution Company
Challenge
Processing approximately 800 supplier invoices monthly with manual data entry into their ERP system. The team was spending significant time on data entry and catching errors in downstream processing.
Solution
Implemented an Intelligent Document Pipeline trained on their top twenty supplier formats. The system extracts key invoice fields, validates against purchase order data, and routes exceptions for review.
Results
Approximately 72% of invoices now process without manual intervention. Manual data entry time reduced from an average of 4.2 minutes per invoice to 1.8 minutes for the remaining reviewed items.
"The assessment phase helped us understand which suppliers had consistent enough formats for high-accuracy extraction. We started with those and expanded coverage over time."
Contract Data Extraction for Property Management
Challenge
Managing tenant lease agreements across multiple properties required extracting key dates, amounts, and terms from various contract formats for tracking in their management system.
Solution
Developed custom extraction models for their standard lease templates and common variations. The pipeline identifies contract sections and extracts structured data for their property management database.
Results
Contract processing time decreased from approximately 15 minutes to 5 minutes per document. Critical date extraction accuracy running at 89%, with uncertain extractions flagged for verification.
"The thirty-day stabilization period was valuable. We identified several edge cases in older contract formats that needed model adjustments before we went into full production."
Application Form Processing for Financial Services
Challenge
Existing system struggled with handwritten application forms and needed enhancement to handle both digital and scanned documents with varying quality levels.
Solution
Applied Document AI Optimization to improve handwriting recognition and expand coverage to additional form variations. Implemented quality scoring to route low-confidence reads for manual verification.
Results
Extraction accuracy improved from 68% to 84% for handwritten forms. Review queue volume decreased by approximately 35% while maintaining data quality standards.
"The performance analysis clearly identified which fields were causing accuracy problems. The optimization work focused specifically on those gaps with measurable improvement."
Our Track Record
Years in Document Intelligence
Implementations Completed
Average Accuracy Rate
Client Satisfaction Rating
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