What the AI invoicing build actually looks like
HG Oil Holdings came to Preisser Tech with a back-office bottleneck — office staff manually reading invoices, transcribing amounts, coding GL accounts, and entering line items into accounting software. The volume meant invoices were sitting unprocessed for days, AR was aging, and adding more office staff was the only obvious answer.
Preisser Tech trained a custom AI assistant to extract and analyze invoice data instantly. Office staff upload invoices and receive structured output in seconds. Result: 75% decrease in time spent on manual invoice handling, eliminated manual reading entirely, freed staff for higher-value work, and prevented the need for additional hires.
How the system works
The AI invoicing system handles the predictable but tedious parts of AP processing:
- Accepts uploaded invoices (PDF, JPG, scan)
- Extracts vendor name, address, invoice number, date, due date, line items, totals, tax
- Identifies GL codes based on vendor and line item patterns
- Flags duplicates against historical invoice database
- Validates totals match line items (math errors flagged for human review)
- Pushes structured data to QuickBooks Online, QuickBooks Desktop, or your accounting system
- Routes to the right approver based on amount thresholds and vendor categories
- Tracks approval and payment status
- Generates monthly reports on AP aging, vendor spend, and processing time
Who benefits most
AI invoicing has the highest ROI in businesses that:
- Process 50+ invoices per month
- Have 2+ office staff spending significant time on AP
- Receive invoices in inconsistent formats from many vendors
- Need accurate GL coding (not just data entry)
- Work with vendors that send paper or PDF invoices, not EDI
- Have AR aging issues that trace back to AP processing time
- Are considering hiring additional office staff
AI invoicing tools vs. custom AI invoicing
Off-the-shelf AI invoicing tools exist (Bill.com, Stampli, Tipalti, AvidXchange). They work for businesses that fit standard AP patterns. Custom AI invoicing makes sense when:
- Your vendor mix is unusual or industry-specific
- Per-invoice or per-user fees exceed custom build costs over 2-3 years
- GL coding logic is more complex than off-the-shelf tools handle
- You need integration with non-standard accounting or ERP systems
- You want the data and logic to live in your own system, not a vendor's SaaS