CFO leadership series—a practical series on modern finance leadership

Part 4: Stopping fraud in its tracks: Tech as your financial watchdog

Written by Simon Lenoir | Feb 18, 2026 11:30:00 PM

Executive Summary

Why is fraud such a persistent risk?

Because manual processes, delayed reporting, and fragmented systems leave gaps that can be exploited.

How can technology act as a financial watchdog?

By monitoring transactions in real time, flagging anomalies, and enforcing rules automatically.

What’s the benefit for CFOs?

Confidence that fraud attempts are intercepted early — protecting both cash flow and credibility.


Introduction: Why fraud still slips through

Despite policies, audits, and oversight, fraud continues to cost businesses billions each year.

The reason is simple: most controls are reactive. Fraud is only uncovered after the money has already gone.

Finance leaders need proactive systems that stop fraud before it damages the business.


Section 1: How fraud hides in finance

Fraud often slips through because of:

  • Shared cards — no clear accountability.
  • Delayed reconciliations — fraudulent charges unnoticed for weeks.
  • Manual approvals — easy to bypass or falsify.
  • Dispersed systems — data too fragmented to detect patterns.

These weaknesses give bad actors time to exploit gaps.


Section 2: How technology prevents fraud

Modern systems act as watchdogs by:

  • Real-time monitoring — every transaction tracked instantly.
  • Anomaly detection — AI flags unusual patterns or duplicate payments.
  • Automated enforcement — spend rules prevent out-of-policy charges.
  • Audit trails — full transparency on who spent what, and when.

Fraud attempts are intercepted instead of uncovered later.


Section 3: A real example of change

A professional services firm discovered fraudulent duplicate invoices that slipped through manual checks. By the time finance caught them, thousands were lost.

After adopting bill payment software with AI-powered fraud detection:

  • Duplicates were flagged before approval.
  • Suspicious vendor activity was highlighted automatically.
  • Finance gained confidence that nothing could bypass review.

The CFO explained: “Fraud isn’t something we uncover months later anymore — it’s something our system stops in real time.”


Section 4: The cultural impact of fraud prevention

Proactive fraud prevention strengthens culture as well as controls:

  • Employees feel protected knowing safeguards are in place.
  • Finance teams reduce stress by trusting the system to catch anomalies.
  • Boards gain confidence in the integrity of financial reporting.

Fraud prevention becomes embedded in daily workflows, not just in annual audits.


Section 5: Steps to make tech your watchdog

CFOs can reduce fraud risk by:

  1. Eliminating shared cards — issue individual or virtual cards for accountability.
  2. Automating reconciliations — detect errors and duplicates instantly.
  3. Enforcing rules at purchase — block out-of-policy spend in real time.
  4. Using AI anomaly detection — spot suspicious behaviour before it escalates.

Fraud risk can’t be eliminated — but it can be contained.


FAQ

Why do traditional controls fail to stop fraud?

Because they’re reactive, identifying issues only after money is already lost.

How does AI prevent fraud?

By analysing patterns, detecting anomalies, and flagging suspicious activity instantly.

What’s the role of automation in fraud prevention?

Automation enforces rules at the point of spend, closing gaps that fraudsters exploit.

Is fraud prevention only for large organisations?

No — smaller businesses are often at higher risk due to weaker manual processes.

What’s the benefit for CFOs?

Peace of mind that systems are monitoring continuously, not just during audits.


Conclusion: Proactive, not reactive

Fraud thrives in silence and delay. By making technology the watchdog, CFOs can stop fraud before it damages both finances and trust.

The reflective question: is your fraud prevention strategy catching issues too late, or stopping them in their tracks?