Document & Data Automation
Document automation that turns files into review-ready data.
Turn PDFs, spreadsheets, and reports into structured, validated, review-ready data. Aurevia builds document automation pipelines that extract the fields you need, validate them against your rules, trace every value back to its source, and flag anomalies for a human — at a scale manual review can't match.
The problem
Document-heavy work is slow, costly, and easy to get wrong.
Feasibility packs, financial statements, contracts, reports — someone reads each file, copies figures into a model or spreadsheet, and hopes nothing was mistyped. As volume grows, accuracy drops and turnaround slips.
The real risk isn't speed. It's the wrong number nobody caught, sitting inside a model that drives a decision. Document automation makes extraction repeatable and, crucially, checkable — every value validated and traceable rather than trusted blindly.
How the system works
From raw input to a governed, logged result.
- 01
Ingest source documents
PDFs, spreadsheets, and financial packs enter the pipeline as the source of truth — the originals stay the reference point.
- 02
Extract structured fields
Text and tables — such as tenancy schedules — are extracted, with LLM enrichment where the layout varies between documents.
- 03
Validate against your rules
A validation suite checks each field, surfaces missing values, and detects anomalies before anything moves downstream.
- 04
Trace every value to its source
Each extracted figure links back to where it came from, so the output is auditable — not a black box you have to take on faith.
- 05
Escalate ambiguity to a human
Conflicting sources, ambiguous fields, and anomalies route to a person for a decision instead of being quietly guessed.
- 06
Produce review-ready output
Populated templates, traceability records, and a review report — ready to drop into a model, not raw extracted text.
What you get
Hours of manual extraction collapsed into a reviewable pipeline
Every figure traceable back to its source document
Anomalies and missing fields surfaced before they reach a model
A process that scales from a handful of documents to hundreds
Proof of work
Proven with Align Property Partners
For Align Property Partners, we shaped commercial property material into a document-intelligence pipeline: source files in, extraction and validation in the middle, traceability and model-ready output at the end.
It handled real deal-pack extraction with validation and anomaly reporting built in — and proved it could scale, expanding from a 20-tenant limit to a 100-tenant model through a dedicated expansion harness.
Questions
Document & data automation, in short.
What document types can you handle?
PDFs, spreadsheets, and mixed financial packs — including tables and semi-structured layouts that vary from document to document.
How accurate is the extraction?
Accuracy comes from validation and traceability, not blind trust. Every value is checked against your rules and linked to its source, and anything anomalous is escalated to a human.
Is my data sent to a third party?
The pipeline is built around your data-handling requirements. Sensitive logic and data stay within the boundaries you define.
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