accounts_payable · workflow

REVA Air Ambulance cuts invoice processing time by over 80% with Ramp's AI-powered AP

REVA Air Ambulance's manual invoice processing took 15–20 minutes per bill and delayed month-end close by nearly 3 weeks, creating payment delays and vendor relationship issues from tedious data entry and manual approval routing.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · AI invoice data extraction
The AI extracts key details from invoices and categorizes expenses automatically.
Tools used
Ramp
Outcome

Invoice processing time dropped by over 80%, from 15–20 minutes to under 3 minutes per invoice, and month-end close accelerated by 2 full weeks, now finishing early in the month.

Results
Time savedover 80%
Volume15–20 minutes per invoice
Cost replaced60+
Source

https://ramp.com/blog/ai-in-payments

How we source this →

Grounding & classification
Source type: platform led case
27 fields verified against source quotes.
data extractiondocument aifraud detectioninvoicepurchase ordermetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcarecycle time reductionemployee productivitytime savedplatform led caseaccounts payableinvoice processingdocument to recordextract classify route