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Voxd

AI Document Processing

Make documents useful without retyping what they contain.

Turn invoices, orders, forms, PDFs and emails into structured information your systems can use.

The opportunity

The problem we help you solve

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.

What changes for your team

Reduce manual preparation

Give staff structured information to review instead of a blank record and a document to work through.

Handle variation more deliberately

Test different layouts and scan quality, then establish which cases can proceed and which need attention.

Keep the source within reach

Make it possible to trace extracted information back to the document when a reviewer needs to check it.

What we deliver

What Voxd can deliver

01

Document and field assessment

Review representative samples and define the information, formats and accuracy measures that matter.

02

Extraction and validation workflow

Build classification, field capture and checks against relevant business rules or reference data.

03

Review and integration

Provide exception handling and a supported export or system handover for approved information.

Why Voxd

We connect the process, the data and the software.

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

A better workflow, proven step by step

  1. 01

    Follow the work

    We map a real request from arrival to completion, including workarounds and exceptions that a process diagram might miss.

  2. 02

    Design the right handovers

    We decide what can run automatically, what needs review and how failures or incomplete inputs should be handled.

  3. 03

    Build and compare

    We test the workflow against representative examples and compare the result with your existing process for speed, completeness and quality.

  4. 04

    Roll out with visibility

    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

Before you get started

Can you process scanned documents?

We assess scan quality and representative examples. Some material needs improved capture or human handling to produce reliable information.

Do all documents need the same layout?

No. Layout variation is part of the assessment. We test the actual formats in scope rather than assuming a single template will cover everything.

Turn the document queue into a clearer workflow.

Send representative examples and tell us what your team currently extracts from them.

Discuss your AI project