AI Document Processing
Turn invoices, orders, forms, PDFs and emails into structured information your systems can use.
The opportunity
A form or PDF can hold everything the business needs and still create a queue of manual work. Someone must open it, find the relevant details and transfer them into another system, checking the same fields again and again.
Voxd builds document-processing workflows around the information and decisions you need. We classify supported documents, extract fields and tables, and apply agreed validation. The original evidence remains available, and uncertainty becomes a review task rather than an invisible assumption.
Give staff structured information to review instead of a blank record and a document to work through.
Test different layouts and scan quality, then establish which cases can proceed and which need attention.
What we deliver
Review representative samples and define the information, formats and accuracy measures that matter.
Build classification, field capture and checks against relevant business rules or reference data.
Provide exception handling and a supported export or system handover for approved information.
Why Voxd
Voxd’s iGlobal proposal work connects Microsoft 365, Gong and HubSpot to bring sales context into a human-approved proposal workflow. Our Pricify work turns conversational requests into structured supplier enquiries.
We can build the integrations and supporting application as well as the AI component. That means we can address the awkward steps surrounding a task, instead of leaving your team to bridge the gaps manually after the automation is delivered.
How we work
We map a real request from arrival to completion, including workarounds and exceptions that a process diagram might miss.
We decide what can run automatically, what needs review and how failures or incomplete inputs should be handled.
We test the workflow against representative examples and compare the result with your existing process for speed, completeness and quality.
We introduce the workflow with logging, clear ownership and an agreed route for exceptions, then refine the steps that still cause friction.
Before you get started
We assess scan quality and representative examples. Some material needs improved capture or human handling to produce reliable information.
No. Layout variation is part of the assessment. We test the actual formats in scope rather than assuming a single template will cover everything.
Send representative examples and tell us what your team currently extracts from them.
Make it possible to trace extracted information back to the document when a reviewer needs to check it.