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AI-Driven Invoice Automation for High-Volume Processing

Automating invoice intake and validation with AI to reduce effort, improve accuracy, and enhance visibility.

Client

US-based global enterprise with high-volume AP operations.

Problem Statement

Manual invoice processing across formats increased errors and delays while limiting visibility and control.

Industry

Manufacturing

Solution

Intelligent Enterprise

Modernization

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Quick Summary

  • Delivered an AI-assisted invoice intake and validation solution for Accounts Payable (AP) operations.
  • Achieved 85–90% data extraction accuracy while significantly reducing manual effort.
  • Enabled real-time visibility with dashboards and structured approval workflows.
  • Improved governance, auditability, and control across high-volume invoice processing.

Client Profile

A US-based global chemical manufacturer with over 1,300 employees and 14 manufacturing plants across North America, Europe, and Asia. The company produces and distributes industrial and specialty chemicals, managing complex, high-volume financial operations globally. 

Challenges: Unstructured Data and Inefficient Invoice Processing

  • Highly inconsistent invoice formats across PDFs, images, Excel files, and scanned documents
  • Lack of structured tracking, validation, and approval workflows
  • High manual effort in sorting, data entry, and exception handling
  • Limited visibility into invoice status, processing, and financial insights

QBurst Solution: AI-Assisted Invoice Intake and Validation Automation

We implemented a governed, AI-assisted invoice automation solution to streamline intake, validation, and processing while ensuring accuracy and control.

  • Automated invoice ingestion and workflow orchestration using Power Automate
  • Intelligent classification and routing based on format and complexity
  • AI-driven data extraction supporting handwritten and multi-invoice documents
  • Business rule validation for duplicates, mismatches, and financial inconsistencies
  • Centralized document storage in SharePoint with audit trails and traceability
  • Structured approval workflows with exception handling and overrides
  • Real-time dashboards and reporting through Power BI

Implementation Approach: Intelligent, Governed Automation Framework

  • AI-assisted document processing with selective human-in-the-loop validation
  • Rule-based validation for financial accuracy and compliance
  • Centralized orchestration of invoice workflows and approvals
  • Secure data storage with audit trails and version control
  • Scalable architecture supporting high-volume processing

Impact: Scalable AP Transformation Without Complex Custom Development

  • 85–90% invoice data extraction accuracy with significant reduction in manual effort.
  • Elimination of manual PDF-to-Excel processing.
  • Improved visibility with real-time dashboards and tracking.
  • Enhanced governance, auditability, and financial control.
  • Faster processing cycles and proactive, data-driven decision-making.

Client Profile

Challenges

QBurst Solution

Implementation Approach

Impact

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Deloitte Fast 50 India, Winner 2024

Dun & Bradstreet

Leading Mid-Corporates of India, 2024

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