
Hours Reduction (2,000 > 45/mo)

Headcount Reduced (12 > 4)

Violation Detection Rate

Annual Savings
We had talented finance professionals spending the majority of their month checking boxes on spreadsheets. We knew automation was the answer — we just needed the right architecture to trust it with compliance.
– -Chief Technology Officer
Our team designed and deployed a multi-layer intelligent automation solution that intercepts every expense submission at intake, processes it through a series of AI-driven validation workflows, and routes exceptions to human reviewers — eliminating the need for full-coverage manual review.
Technologies Deployed:
Reduction in QC hours
(2,000 → 46/mo)
Headcount reduced
(12 → 4 remaining)
Average critical lab result routing time - down from 40+ minutes
Annual savings
Reimbursement cycle
(was 5 days)
Reduction in reviewer time on escalations
With 1,954 hours per month returned to the finance operations team and the QC function consolidated from 12 FTEs down to 4, leadership reallocated staff toward value-added analysis, reporting, and strategic forecasting. The 95% violation detection rate — compared to an estimated 60–65% under manual review — directly recovered previously undetected policy breaches, contributing meaningfully to the $88K annual savings figure alongside labor cost reduction.
Employee satisfaction with the reimbursement process improved significantly: same-day processing of compliant claims reduced the average reimbursement cycle from 5 business days to under 24 hours. The finance team reports that escalation queues now require less than an hour of daily attention, down from a team-wide effort spanning multiple days per week.
Critically, the automated system scales with submission volume at zero marginal cost — positioning the organization to absorb future growth, further M&A activity, or seasonal expense spikes without any corresponding increase in QC headcount
This isn’t just a cost story. We now have a compliance infrastructure that can grow with us — and a finance team finally free to do the work they were hired to do.
– Chief Technology Officer

In post-merger or high-growth environments, expense QC volume outpaces team capacity faster than hiring can respond. Automation is not a luxury at an enterprise scale — it's a structural necessity to maintain accuracy and policy integrity.

Traditional RPA handles structured, rules-based extraction. Layering LangGraph agent orchestration with large language models like Gemini 2.5 Flash handles the unstructured reality of receipts: multiple languages, handwritten notes, and varied formats. The combination is what makes 95%+ accuracy achievable.

Rather than automating the approval decision, routing only flagged submissions to humans preserves judgment where it matters while eliminating labor on the 80%+ of submissions that are fully compliant. This builds organizational trust in automation and delivers immediate ROI.
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