AI document processing: from invoices and purchase orders to checked, structured data
We build systems that read the documents your business receives, extract the important fields, check them against your records, and prepare draft entries for your team to approve.
Stop keying data from PDFs.
Documents arrive in many layouts. Modern AI can read varied formats without a template per vendor, but it still needs validation and a place to send the results. We build the whole path.
- Reads PDFs, scans, and email attachments in varied layouts
- Extracts header fields and line items with confidence scores
- Validates against vendors, purchase orders, and existing records
- Detects duplicates and discrepancies before they’re posted
- Creates draft records for approval in your system
Why document handling is slow and error-prone.
Anywhere a person reads a document and types it elsewhere, there’s cost and risk.
Manual invoice entry
Each invoice is read and typed into accounting software, then matched to an order by hand.
Duplicates and mismatches
The same invoice arrives twice, or the total doesn’t match the order, and it’s caught late or not at all.
Varied formats
Every vendor’s document looks different, so template-based tools need constant maintenance.
Slow turnaround
Items wait in a pile until someone has time to key them in.
No audit trail
It’s hard to see who entered what, from which document, and when.
Month-end backlog
Documents pile up and reconciliation becomes a project.
Documents we commonly process.
The same approach adapts to many document types.
Vendor invoices
Extract vendor, number, dates, totals, and lines; check duplicates; draft a bill for approval.
Purchase orders
Capture customer, items, quantities, and terms; create an order record for review.
Forms and applications
Pull answers from submitted forms into structured records and flag missing items.
Contracts and agreements
Extract key dates, parties, and terms into a searchable register for review.
Delivery and receiving documents
Match packing slips and receiving paperwork to orders.
Statements and remittances
Read payment documents and suggest matches to open items.
Extraction plus validation plus workflow.
Reading the document is only the start.
- Document ingestion from email, upload, or shared folders
- AI extraction of fields and line items with confidence scoring
- Validation rules against your vendors, orders, and history
- Duplicate and discrepancy detection
- Exception queue for items that need a person
- Draft record creation in your accounting or operations system via API
- Approval routing with a full audit log
- Dashboards for volume, exceptions, and turnaround
What good document automation delivers.
Accuracy and speed, with people still deciding.
Less manual data entry
Routine documents are read and prepared automatically.
Fewer costly errors
Mismatches and duplicates are surfaced before posting.
Faster processing
Items reach the approver sooner.
Better records
Every entry links back to its source document and approval.
Smoother month-end
Less backlog and cleaner data.
Handles volume swings
Busy periods don’t require temporary data-entry help.
Results vary with your process, data quality, and scope. We don’t promise specific savings; we measure against your own baseline.
Not sure what to automate first? Our free Automation Opportunity Assessment looks at your real workflows and tells you honestly where automation would help, and where it wouldn’t.
Request the assessmentA careful rollout, with people in control.
Automation that touches money, customers, or records earns trust in stages.
Discover the process
We walk the workflow with the people who do it: what arrives, what decisions get made, which systems are touched, and where it breaks.
Define rules and guardrails
We decide what can be automated, what needs a person’s approval, what the system must never do alone, and how exceptions are handled.
Build and connect
We build the automation and connect it to your systems through their APIs or supported interfaces, subject to the access each platform allows.
Test with real examples
We run your actual (or representative) documents and cases, measure how it behaves, and tune thresholds before anyone depends on it.
Launch with a person in the loop
We start with review and approval steps in place, then loosen only what you’re comfortable with, using the audit log as evidence.
Monitor and improve
We monitor accuracy and exceptions, support the system, and extend it as your processes change.
Common questions
How accurate is AI document extraction?
It depends on document quality and type. We measure accuracy on your own documents, set confidence thresholds, and send uncertain fields to a person. We don’t quote accuracy figures before testing on your data.
Does it work with our accounting software?
Often through the software’s API or supported import methods, subject to what each platform allows. We confirm this early. Drafts are created for approval rather than posted automatically.
Can it handle every vendor’s format?
Modern extraction handles many layouts without per-vendor templates, but unusual documents may need tuning or go to the exception queue.
What about sensitive documents?
Every automation we build keeps a person in control of anything consequential. We design with least-privilege access, approval steps, and an audit trail. We don’t claim regulatory certifications we haven’t verified, and if your industry has specific compliance requirements we’ll review them with you during discovery.
Can we start with only invoices?
Yes. Starting with one document type is usually the best way to prove value and refine the process.
Show us the process that eats your team’s week.
Bring one real workflow. We’ll tell you plainly whether automation fits, what it would take, and what we’d leave alone.