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Case Study: How a Leading Telecom Company Modernized Document Processing with AI-Driven CapturePoint

A leading telecommunications company processed over 10,000 documents each month across a distributed network of 40+ branch offices, a central back-office unit and several additional departments. The document landscape spanned domestic and international invoices feeding directly into financial operations, customer requests originating from branches across the country, archival documentation and internal records requiring automated departmental routing. 

For this organisation, document processing was not an administrative function. Incoming invoices had to be captured, extracted and validated accurately before they could move through the company’s core financial systems. Customer requests from 40+ locations required timely processing to maintain service commitments. And internal documents depended on reaching the right department without manual intervention. When the platform handling all of this reached end of life, the question was not whether to act but how quickly. 

The Problem 

The existing capture platform had reached end-of-life, bringing several critical challenges: 

  • OCR accuracy for invoices dropped to 30–40%, resulting in extensive manual correction and delays in financial workflows. 
  • Customer requests originating from branches could not be automatically extracted, forcing manual data entry. 
  • Manual email forwarding was required for internal documentation after every scan — a repetitive step with no audit trail. 
  • Volume‑based licensing created unpredictable costs tied directly to document throughput. 
  • Integrations with the company’s core systems — ERP and DMS platforms — were limited, forcing operators to perform manual lookups. 
  • Adding new document types required lengthy and complex configuration, often taking months. 

The organization needed a robust, accurate, and future‑ready platform that could replace the legacy system without disrupting ongoing operations across 40+ distributed locations. 

The Solution: AI‑Driven CapturePoint 

ASEE implemented CapturePoint, a flexible and modern capture platform designed to automate document processing end-to-end. The migration included: 

✅ Significant Accuracy Improvements 

  • OCR accuracy for domestic and international invoices increased from 30–40% to over 95%. 
  • Full automation introduced for document types previously processed manually. 

✅ Automated Routing 

  • Internal documents are now automatically forwarded to the correct department based on document subtype — fully eliminating manual email forwarding. 

✅ Exception‑Based Validation 

  • Operators now review only documents requiring attention according to business rules. 
  • This shift enabled a 33% reduction in validation workload. 

✅ Deep System Integrations 

CapturePoint integrates directly with the company’s core systems: 

  • ERP platforms for data enrichment and validation 
  • Document management system for structured archiving 
  • SQL and internal network locations for downstream consumption 

✅ Faster Onboarding of New Document Types 

  • What previously required 1–3 months can now be configured in days or weeks. 
  • The platform is prepared for expansion across subsidiaries. 

Results & Measurable Impact 

✅ Exceptional Accuracy & Automation Gains 

  • OCR accuracy increased to 95%+ 
  • Customer requests fully automated (previously manual) 
  • Document routing automated across all branches and departments 

✅ Operational Efficiency 

  • 33% reduction in validation headcount 
  • 50% faster invoice handling time 
  • Faster investigation, higher transparency and complete audit trails 

✅ Financial Benefits 

  • Predictable costs thanks to removal of volume-based licensing 
  • Reduced manual workload and specialist configuration effort 
  • Lower long-term cost of ownership 

✅ Scalability & Future Readiness 

  • Architecture ready for group‑wide rollout 
  • Supports new document types and processes with minimal intervention 
  • Modular, flexible and future‑proof 

Why This Case Matters 

This transformation showcases how CapturePoint replaces aging and unsupported legacy platforms with a modern, AI‑driven solution — without operational disruption. The organization now operates with dramatically better accuracy, lower manual intervention, higher processing speed and significantly lower operational risk. 

The case demonstrates CapturePoint’s strengths: 

  • Flexibility in replacing complex legacy architectures 
  • Ability to handle distributed, multi‑location environments 
  • Seamless integration with core enterprise systems 
  • Tangible operational and financial improvements from day one 

If you are ready to modernize your document processing with a flexible, accurate and future‑ready platform, CapturePoint is the ideal next step. 

Backed by experts with deep experience in replacing legacy systems, it provides the automation, scalability and precision your organization needs — with a smart cost model and proven results. 

👉 Get in touch to explore how CapturePoint can transform your operations — faster, smarter and more cost‑efficiently. 

FAQs

CapturePoint is ASEE’s AI-driven document capture platform that automates OCR, classification, and data extraction for high-volume enterprise document processing.

It refers to automating the capture, classification, and extraction of data from high-volume telecom documents such as invoices, customer requests, and internal records, enabling faster and more reliable processing across distributed locations.

By replacing the legacy capture system, OCR accuracy increased from around 30–40% to over 95%, significantly reducing manual corrections and improving the reliability of financial and operational workflows.

Yes. The migration was designed to run in parallel with existing workflows, ensuring that document processing across 40+ locations continued without interruption while systems were gradually transitioned.

Documents from over 40 branch offices are automatically captured, classified, and routed to the correct departments, removing the need for manual forwarding and ensuring consistent processing across all locations.

The organization achieved faster invoice handling, a 33% reduction in validation workload, full automation of key document flows, and more predictable operational costs by eliminating volume-based licensing constraints.

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