Invoice & AP Processing
Invoices arrive by email and paper, get keyed by hand, matched from memory, chased for approval, and paid late — while your AP team drowns in the volume.
What can be automated in invoice & ap processing? With current AI and integration tooling: invoice capture and data extraction from any format; 2/3-way po matching with tolerance rules; gl coding suggestions from history; approval routing with reminders and escalation. What should remain under human control: final approval per your authority matrix; exception resolution (mismatches, missing pos); new-vendor verification and payment-detail changes — always human, fraud-critical. Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.
What this work looks like today
AP clerks and finance staff; approvers across every department; controllers reconciling the aftermath.
Email inboxes, ERP/accounting systems, procurement tools, and the spreadsheet where reality actually lives.
Measured before we touch anything: Cost & touches per invoice · Cycle time to approval · Exception rate
What gets automated — and what stays human
Automated (with logging):
- Invoice capture and data extraction from any format
- 2/3-way PO matching with tolerance rules
- GL coding suggestions from history
- Approval routing with reminders and escalation
- Posting of clean invoices
Stays under human control:
- Final approval per your authority matrix
- Exception resolution (mismatches, missing POs)
- New-vendor verification and payment-detail changes — always human, fraud-critical
How value and risk are managed
What we baseline and track
Cost & touches per invoice · Cycle time to approval · Exception rate · Early-payment discount capture · Duplicate/error rate
Risks designed for
Fraud controls hard-gated (vendor changes, bank details); segregation of duties enforced; complete audit trail per invoice.
Typical implementation path: Highest-volume vendor cohort piloted on 90 days of history, then production with exception queues. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.
Find out what AI can actually do for your operations.
Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.
Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.