Global Medical Device Leader Cut Risk and Changed Spending Behavior

Global, highly regulated enterprise operating across regions and business units, with complex T&E and P-Card spend tied closely to sales, customer engagement, and compliance obligations.

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Business Challenge

Before: High Spend Volume, Limited Signal, and Auditor Fatigue

As travel, sales activity, and customer engagement accelerated globally, finance and T&E teams faced growing pressure to ensure compliance without slowing the business. While controls were in place, the program struggled with familiar challenges:

High review volume with uneven value

  • A large number of reports required review, but many were low-value or false positives.

Post-payment reliance

  • Too much risk was identified after reimbursement, limiting prevention and reducing accountability.

Inconsistent behavior change

  • Policy reminder emails alone were not reducing repeat issues among higher-risk employees.Manual review burden Auditors spent significant time reviewing transactions that ultimately posed little risk.

Leadership needed stronger signals, better prioritization, and clearer outcomes.

Solution

After: AI-Powered Targeting and a More Effective Audit Model

By partnering with Oversight, the organization recentered its audit program around prevention, prioritization, and behavior change. Oversight was deployed as a continuous monitoring layer across T&E and P-Card programs, enabling the team to focus on what truly mattered.

Key elements of the approach included:

Full-population monitoring

  • Across T&E and P-Card spend, with AI identifying risk patterns at scale.

Global Risk Models

  • Reduced noise, tiered risk, and surfaced the highest impact alerts first.

Pre- and post-payment coverage

  • To prevent issues where possible and identify behavioral patterns over time.

Targeted compliance actions

  • Pairing proactive alerts with real-world consequences to drive change.

The result was a program that shifted audit effort away from volume and toward value

Results

Results: Stronger Controls, Better Focus, and Proven Impact

The program results delivered clear, enterprise-scale impact:

  • $252M in spend analyzed across 2.8M transactions

  • 15,000+ employees reviewed, with full population coverage

  • $15.3M in non-compliant spend identified, a significant increase year over year driven by better targeting

  • 28% findings rate on reviewed alerts, well above baseline benchmarks and indicative of higher-quality signal

  • Pre-payment prevention impact, stopping issues before reimbursement and reducing downstream remediation

  • Behavioral change where it mattered most so employees receiving proactive pre-payment interventions showed a 93% decline in repeat issues

  • Focused audit effort:

    • A small subset of employees generated the majority of high-risk activity, allowing auditors to prioritize efficiently

    • Low-risk alerts were deprioritized or automated, reducing reviewer fatigue

Benefits

Why It Worked

This wasn’t about adding more rules—it was about improving precision.

Oversight enabled the organization to move from transaction-level review to pattern-and behavior-based insight, while keeping audit scalable. AI reduced noise, sharpened prioritization, and helped auditors spend time where it delivered the greatest impact.

Most importantly, the program shifted from reactive reporting to measurable outcomes: stronger prevention, clearer accountability, and sustained behavior change.

For this global medical device manufacturer, Oversight transformed T&E and P-Card auditing into a strategic control—one that protects the organization without slowing the business. By combining continuous monitoring, advanced AI, and targeted intervention, the company strengthened compliance, improved efficiency, and built confidence that material risk is being identified and addressed. Oversight now serves as a foundation for ongoing optimization—supporting smarter decisions, stronger controls, and a compliance program built to scale with the business.

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