Case Study 03 · ENERGY & UTILITIES

Automating Invoice Data Extraction and Processing

Significantly reduced
Manual Effort
Faster turnaround
Processing Speed
Improved
Accuracy
Structured
Scalability
Client overview

A leading energy-sector organization processes hundreds of vendor invoices each month. These invoices must be extracted, validated, and recorded into financial systems like DocVue and OGSQL/OGSYS. The client aimed to streamline this process, reduce manual effort, and improve data accuracy using intelligent automation.

The challenge
  • High effort and time spent on repetitive data handling
  • Error-prone manual validation and data entry
  • Delays in invoice posting and GL reconciliation
  • Disjointed steps across systems with no unified automation
Automation objectives
  • Automate invoice data extraction from PDFs
  • Integrate A360 bots with DocVue and OGSQL/OGSYS
  • Automate GL entry creation based on vendor-specific rules
  • Enable human-in-the-loop review for data validation
  • Reduce turnaround time and increase processing efficiency
Our solution

Invoices from a designated folder are auto-uploaded to Document Automation, where key data is extracted, reviewed by the AP team, and used to drive GL entries across systems.

HOW IT WORKS
01
Invoice Intake & Extraction
Invoices are auto-uploaded to Document Automation, key data extracted and sent to the AP team for review. Validated entries move forward for processing.
02
Data Processing & System Updates
Reviewed data is downloaded in CSV format, indexed in DocVue, and used to perform GL entries in OGSQL/OGSYS for in-scope vendors.
03
Employee Expense & Redirected Invoices
The bot filters and processes Employee Expense and redirected invoices, extracting data and completing GL entries.
The bottom line

The solution established seamless data flow across DocVue and OGSQL/OGSYS, enabling structured onboarding of additional vendors and workflows.

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