GlobalOps ran a lean AP team that spent most of their time manually tracking refunds and disputing charges. RPLCBudget AI eliminated 95% of that manual work in the first month.
“Our AP team was spending 40 hours/month chasing refunds manually. RPLCBudget AI cut that to 2 hours of approvals. It's genuinely transformative.”
GlobalOps runs a complex vendor network — 180+ active vendors across logistics, warehousing, and facilities. With a two-person AP team managing over $12M in annual payables, the team had fallen into a reactive pattern: disputes only happened when someone noticed an obvious error.
Amanda L., VP Finance, estimated the team was spending 40 hours per month on recovery-related work — tracking disputes, following up with vendors, documenting claims. And that was only for the errors they caught. "We knew we were missing things," she said. "We just didn't have the bandwidth to find them."
The bigger issue was the delay. By the time an error was identified, often three to six months had passed. Some disputes were denied because documentation had lapsed. Others were resolved for less than the full amount because the evidence was incomplete.
GlobalOps connected RPLCBudget AI to QuickBooks and their Expensify corporate card program. Setup took under two hours.
The first run surfaced $68,000 in recoverable amounts across 31 flagged transactions. The largest: a logistics vendor that had been overbilling against contract rates for six months — total overpayment of $31,000.
RPLCBudget AI submitted all 31 disputes automatically, with full documentation attached. Amanda's team reviewed and approved the submissions — a process that took 90 minutes total, versus the 40+ hours it would have required manually.
The policy enforcement configuration took another hour: per-diem limits, hotel rate caps, airfare class rules. Within the first week, three expense reports were flagged and returned for correction before reimbursement — catching $4,200 in policy violations that previously would have gone unnoticed.
At the 90-day mark, GlobalOps had recovered $187,000 on an annualized basis. The AP team's monthly workload on recovery and disputes had dropped from 40 hours to 2 hours — the time it took to review and approve automated submissions.
Amanda's team reallocated the saved time to higher-value work: vendor contract renegotiations, payment term optimization, and cash flow forecasting. "The recovery pays for the tool many times over," she said. "But honestly, what I value most is what the team can do now with the time we got back."
The dispute success rate across all submitted claims was 94% — significantly higher than the team's historical rate of 71% for manually-prepared disputes. RPLCBudget AI's automated documentation, which pulls relevant contract clauses and attaches supporting invoices, produces more complete dispute packages than most AP teams have time to assemble.
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