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Invoice · PO · Claims · Filings

Replace your BPO with a system that reads invoices, POs, and claims at 99% accuracy.

Fieldiq extracts structured data from invoices, purchase orders, insurance claims, and regulatory filings — routing exceptions to the right person, processing at the volume your BPO never could.

fieldiq / extraction-engine / live
Input: invoice_07421.pdf
INVOICE #07421
Vendor: Meridian Supply Co.
Date: 2026-06-01
Total: $12,480.00
Tax Code: TX-8500
Due: 2026-07-01
Terms: Net 30
PO Ref: PO-2240
Output: structured JSON
"vendor_id": "meridian-supply",
"invoice_no": "07421",
"total": 12480.00,
"tax_code": "TX-8500",
"due_date": "2026-07-01",
"confidence": 0.993,
"exception": false
Extraction complete — 7 fields — confidence 99.3% — routed to ERP
99% Field-level accuracy — invoices, POs, claims, filings
$2.40 Average cost per document processed
< 4 hrs Average turnaround time from ingestion to output
10M+ Documents processed through the extraction engine

Built to read what your business actually receives

Your back office doesn't deal in generic documents. It deals in invoices from 200 vendors, POs with non-standard line-item tables, insurance claims with jurisdiction-specific fields, and regulatory filings that change formats every cycle. Fieldiq is trained on all of them.

See full document coverage
Invoices
Extracts: vendor ID, line items, tax codes, due date, payment terms
Purchase Orders
Extracts: PO number, buyer/seller entity, delivery terms, approval status
Insurance Claims
Extracts: claimant data, policy number, incident date, damage fields
Regulatory Filings
Extracts: filing type, entity identifiers, jurisdiction codes, form version

How extraction works — start to finish

Step 01
Ingest
PDF, TIFF, JPEG, email attachment. Any format your vendors use, any channel they send it through.
Step 02
Extract
ML field detection trained on your document classes. 99% accuracy at the field level, with per-field confidence scores.
Step 03
Validate
Rule engine runs business logic checks. Fields below your confidence threshold are flagged for exception — not silently passed through.
Step 04
Route
Clean extractions push directly to your ERP. Exceptions route to the right human reviewer — not back to a BPO floor.

Exceptions go to your team — not back to a BPO.

What your BPO costs vs. what Fieldiq costs

Your BPO charges per document. So do we. Here's the comparison your CFO will ask for anyway.

Your current setup
Manual BPO today
Cost per document $15–25
Field error rate ~5%
Average turnaround 48 hrs
Cost at 10x volume Headcount scales linearly
Exception handling Manual rework cycle
Fieldiq
Fieldiq Growth plan
Cost per document $2.40
Field error rate < 1%
Average turnaround < 4 hrs
Cost at 10x volume Same price per doc
Exception handling Routed to your team
Calculate your specific savings

Data goes directly into the systems your team already uses.

Extracted vendor IDs, invoice totals, and PO line items push directly into SAP, NetSuite, Workday, and QuickBooks — no manual export, no middleware you own.

SAP SAP S/4HANA
NS NetSuite
QB QuickBooks
WD Workday
SF Salesforce
CP Coupa

Customer results

"We were paying a BPO $18 per invoice. With Fieldiq we're at $2.40 and our AP team spends their time on exceptions only — not data entry."

Sandra Kowalski VP of Finance Operations Vantora Logistics

"The accuracy on our insurance claims surprised me. We had a 6% error rate from our previous vendor. Fieldiq's exception flagging caught things before they hit our adjuster queue."

Marcus Adeyemi Director of Claims Processing Redfield Insurance Group

"What sold me was the ROI calculator on their site. We ran our numbers before the first call. By the end of the demo we were already scoping the ERP integration."

Janice Drummond Head of Procurement Operations Castlepoint Manufacturing

Process 10,000 documents this month — without adding headcount.

In a 30-minute call, we'll run your actual invoice, PO, or claim through the extraction engine live — and show you the field-level confidence scores and what would route to exception.