Know what arrived
Each requirement has a status, linked document and clear relationship to the File.
Document intelligence
Turn uploaded documents into structured evidence your team can act on.
FastDox keeps evidence tied to the File, identifies what has been provided, extracts useful values and compares them with information already captured — so reviewers focus on exceptions instead of opening every document.
Private uploadsClassificationData extractionSource-aware review
The problem
Stop treating evidence like an inbox
The expensive part of document collection is rarely the upload itself. It is naming files, checking what they contain, matching them to the right requirement and working out whether they agree with the File.
Extract what matters
Surface values such as employer, pay, creditor, balance, dates and account context without manual transcription.
Route only the differences
Matching evidence can flow through while discrepancies become targeted review work.
What FastDox does
Capabilities that remove work — not just digitise it.
Each capability operates against the same record, so information captured at the front of the journey can drive evidence, review, workflow and downstream handoff.
Requirement-led collection
Evidence requests are generated from the journey and stay connected to the answer or process that required them.
AI-assisted extraction
Supported documents can be classified and key fields extracted into structured observations.
Declared vs observed
What a person told you and what a document shows remain separate until authorised review.
Review trail
Keep the document, extracted observation, reviewer decision and final authoritative value together.
How it works
A connected operating flow.
The journey is designed so each step creates the state required by the next rather than generating another disconnected document or inbox task.
1
Request
Ask for the document because the journey requires it.
2
Receive
Store the upload privately against the correct File and requirement.
3
Understand
Classify the document and extract useful structured data.
4
Review
Automatically pass matching evidence or create a focused exception where values differ.
Operational efficiency
Where teams get time back
The objective is not automation for its own sake. FastDox is designed to remove repeatable administration, surface genuine exceptions earlier and give skilled people better-prepared work.
- Reduce manual document naming and transcription.
- Avoid asking staff to compare every field on every upload.
- Keep evidence and review decisions traceable.
- Turn document collection into usable operational data rather than another storage folder.
See it on your workflow
See evidence move from upload to reviewed information.
We’ll use your common document types and review rules to show where FastDox can remove manual checking and surface exceptions earlier.