ChristianaCare, a nationally recognized healthcare system, partnered with hunterAI to deploy AI to analyse “every item purchased” from their historical accounts payable (AP) data and identify previously undetectable invoice anomalies. Despite existing financial systems, workflow tools, and finance service providers already in place, hidden inefficiencies remained — costing millions in leakage.

hunterAI’s AnomalyHunt™ solution was implemented to audit five years of accounts payable transactions, uncovering $3.2M in invoice anomalies. Of that total,$1.9M was recovered solely as a result of the hunterAI participation, through direct cash refunds and supplier credits. The initiative also generated a projected $500Kfuture improvement in working capital, enhancing liquidity and financial flexibility.

Why Do Payment Errors Persist — Even in Automated AP Environments?

Even with robust AP automation—spanning workflows, reconciliation tools, and internal controls—human touchpoints on both the supplier and internal teams remain a consistent source of error. The reality is that payment errors cannot be fully eliminated, and CFOs are left absorbing the residual risk. This program validated hunterAI’s ability to identify and recover hidden value, while providing visibility and control that strengthens financial governance.
“We saw the value before lifting a finger. It was fast, controlled by our team, and unlocked real cash. Now we’re staying ahead of it every month.”—Brian Dellinger Vice President Finance ChristianaCare

Key Differentiators

100% contingency.
hunterAI confidence in their solution and ability to deliver results was risk free.

Data-First, Low-Lift Start
hunterAI began by independently analyzing historical AP data — proving the business case upfront. Only after the value was clear did the AP and Supply Chain teams mobilize to execute the recovery.

Finance & Supply Chain Controlled
No IT involvement. No cross-department disruption. The entire engagement was handled inhouse, looking "under the hood" for savings that can be actioned immediately by Finance and Supply Chain, completed in just two months.

Beyond Duplicate Detection
Through collaborative root-cause analysis, ChristianaCare and hunterAI identified systemic process gaps, including:
• ERP bypass of duplicate alerts via slight invoice variations
• Inconsistent vendor master data caused by multiple legal entities of suppliers
• Lack of linkage between supplier credits and AP records
• Invoice entry errors and complex AP coding of different types of corrections

“This is a powerful example of how collaboration between Supply Chain and Finance can close data gaps, uncover hidden inefficiencies, and drive real financial outcomes. By working together with a shared data foundation, we not only recovered cash but also strengthened the processes that sustain long-term value.”—Luis Forero SVP Supply Chain ChristianaCare

Transition to Continuous Value

Following the success of the historic analysis, ChristianaCare has adopted monthly AP anomaly monitoring, shifting from one-time cash recovery to proactive cost avoidance and tighter financial control.
‍
Why It Matters for Healthcare Finance Leaders

In an environment of rising costs and tight margins, recovering quickly hidden cash and closing process gaps can drive significant operational and financial value—without the need for system overhauls, intensive projects, or impact to patient care. Early identification of payment errors not only prevents value leakage but also enables organizations to reallocate funds proactively maximizing their financial agility and overall performance. This collaboration demonstrates how intelligent AI Analysis can augment existing systems, improve working capital, and empower finance teams to stay in control—quietly and effectively.

Conclusion

ChristianaCare’s collaboration with hunterAI not only delivered significant recoveries but also uncovered critical process improvement opportunities. This initiative highlighted the importance of intelligent anomaly detection and cross-departmental collaboration in safeguarding financial integrity in large-scale healthcare systems. Crucially, this engagement created a scalable data foundation for future value-creation initiatives — from rebate recovery and GPO administrative fee reconciliation to real category level spend savings programs. What began as a focused cost recovery effort has evolved into a strategic platform for continuous financial optimization across the health system.