Sound Familiar?
Why Paperwork Still Means Typing
Every morning, the accounts team opens a shared inbox full of supplier invoices as PDFs, scans and photos. Each one gets keyed into the finance system by hand, field by field. Errors slip through and the backlog grows at month-end. Document data extraction with AI can take most of that typing away.
Why Now
When Manual Document Handling Hits Its Limit
Suppliers chase late payments Invoices sit in the queue for days. Suppliers start calling, and some add late fees.
A big contract doubles the paperwork New business brings far more documents. Hiring more people to type them doesn’t make sense.
An audit finds keying errors Sample checks show amounts entered wrongly. Now every manually entered document is in question.
What Changes
What’s Different Afterwards
Where to Start
How We’d Automate Document Data Extraction
Start with the free review
We look at your document types, volumes and current process, and pick the best place to start.
What you’ll have: A clear view of where automation would pay off
Pilot one document type
We help set up extraction for one type, such as invoices, and measure accuracy on real documents.
What you’ll have: Measured accuracy on your own paperwork
Connect it to your systems
We help feed extracted data into your finance or business systems, with review steps for exceptions.
What you’ll have: Documents that flow from inbox to system
Want the full method? See AI-Powered Document Processing and Workflow Automation.
Your First Step
Start with a Free Document Automation Review
We’ll look at the documents your team processes, how much time they take and where errors happen. You’ll get a recommended starting point and a pilot plan to keep.
Book a Document Automation Review
- We walk you through the findings on a call.
- Then it’s your decision, with no obligation to go further.
Scope
- Document types, volumes and sources
- Current processing steps and target systems
You Provide
- Sample documents of each main type
- Monthly volumes and processing times
- Time with the team who processes them
You Receive
- Document types ranked by automation value
- Accuracy and review considerations
- A pilot plan for the first type
Cost and Timing
- Free, with a fixed scope
- Timing depends on your estate, so talk to us
Try This First
Quick Document Data Extraction Checks
These checks show where your team’s time goes and which documents to automate first.
Count documents processed each month by type
Invoices, orders, forms and claims. The highest-volume type is usually the best starting point.
Time how long one document takes to key
Multiply by monthly volume. That’s the effort extraction could take away.
Collect ten examples of one document type
Note how many layouts they use. More variety favors AI over fixed templates.
Check your error rate from recent audits
Keying mistakes found in samples show the accuracy problem you’re solving.
Look at the extraction services on your cloud platform
Azure AI Document Intelligence and Amazon Textract both extract text, tables and fields from documents.
Why Signisys
Why Take Our Advice on This
FAQs
Frequently Asked Questions
What happens after the review?
We walk you through what we found on a call. You can act on it with your own team, or ask us to help with the bigger changes. Either way, it’s your decision and there’s no obligation.
How accurate is AI document data extraction?
Accuracy depends on document quality and variety. Clear, typed documents usually extract very well, while handwriting and poor scans are harder. A pilot measures accuracy on your real documents before you rely on it.
What happens when the AI isn’t sure?
Uncertain values are flagged for a person to check, using confidence scores and validation rules. Clean documents go straight through, so people spend time only where their judgment is really needed.
Does it work with scanned documents and photos?
Yes, within limits. Clear scans and photos work well. Very poor images or heavy handwriting may need more human review, which the pilot will show clearly for your document mix.
Which document types should we start with?
Usually the highest-volume type with a clear structure, such as supplier invoices. That’s where document data extraction saves time fastest, and where accuracy is easiest to measure against your current error rate.
Is our document data kept secure?
It should stay within services and regions you approve, with access controlled like any other business data. We’ll look at where processing happens and what your data protection requirements are.
Stop Retyping Documents
A free review shows which documents to automate first and how much keying time you could save.
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