From manual invoices
to structured data
in 5 weeks.
Latin Energy Group receives invoices from multiple energy service providers — each with a different format. Processing them was slow, error-prone, and entirely manual. We automated the full pipeline in 5 weeks: from email or folder ingestion to clean data loaded directly into the client's database.
The problem
A high-volume, repetitive process eating team capacity
Latin Energy Group works with multiple energy service providers, each issuing invoices in their own format. The team had to open each invoice, manually extract the relevant fields, and enter them into their systems — a repetitive, time-intensive process that scaled poorly as invoice volume grew.
The core challenge: each supplier had a different document structure. A solution that worked for one wouldn't work for another. The system needed to be flexible enough to handle structural variation across providers while still producing consistent, clean output.
Before and after
How the system works
A fully automated extraction pipeline
email or folder
per supplier template
fields & format
client's database
Automatic document ingestion
The system monitors an email inbox or designated folder. When a new invoice arrives — regardless of format — it's picked up automatically, with no manual intervention required to start the process.
Per-supplier template matching
Each energy provider has a configured extraction template specifying exactly which fields to extract and where to find them. The system identifies the supplier and applies the correct template automatically — covering all supplier invoice formats.
AI-powered field extraction
Data is extracted from each invoice using AI — handling variations in layout, font, and structure that would trip up rule-based systems. The extraction is designed for the specific fields the client needs, not generic document parsing.
Structured output delivery
The extracted data is written directly into the client's database — no intermediate files, no manual import step, no reformatting needed.
How we delivered it
5 weeks, weekly touchpoints, zero surprises
Deep understanding of each invoice format and the fields to extract. First extraction tests with real documents.
Full development of the extraction solution for all invoice types.
Progress presentation to the client. Feedback round and refinements.
Corrections and full test coverage across all invoice formats and suppliers and edge cases.
Production deployment. Handover of source code and documentation.
"The challenge wasn't building something that extracts data from one invoice format. The challenge was building something reliable enough to handle multiple different formats — consistently, in production, with real supplier documents that don't always look the same twice."
— Orugga engineering team
Technologies used
Where this applies
Invoice automation is one of the most common high-ROI AI applications for mid-size companies — but it's not limited to energy. Any business receiving structured documents from multiple sources (suppliers, logistics providers, insurers, government agencies) can eliminate manual processing with the same approach. If your team spends hours each week extracting data from documents, this is a solvable problem.
Have a repetitive document process?
If your team manually processes invoices, forms, or any structured documents from multiple sources — we can automate it. Let's talk.
Contact us