Fraud and Compliance
How to Prevent Fraud in an AI‑Driven World
Key takeaways
- AI-generated fraud is increasing across expense management and accounts payable workflows.
- Common fraud tactics include fake receipts, synthetic invoices, deepfake approvals, and duplicate expense claims.
- Finance leaders need real-time visibility, embedded controls, automated auditing, and human oversight to reduce fraud risk.
- Siloed travel, expense, and AP systems increase the likelihood of undetected fraud.
- Effective fraud prevention combines AI-powered anomaly detection with governance, approval workflows, and policy enforcement.
Fraud is evolving faster than finance teams are prepared for
Fraud is no longer limited to obvious policy breaches or one‑off expense anomalies. As organisations across Australia and New Zealand adopt faster payment processes, expand hybrid work, and lean into AI, the fraud risk profile is changing at speed. AI has lowered the barrier for creating convincing fake receipts, invoices, and even audio or video approvals that are difficult for human reviewers to detect.
Internal controls are insufficient in 76% of global fraud cases - KPMG, 'Fraudsters report 2025'
For finance leaders, this is no longer a future risk. It is a present operational and governance challenge that directly impacts revenue, trust, and compliance.
| Traditional fraud | Fraud in an AI-Driven World |
|---|---|
| Manual falsification | AI-generated documents |
| Easier to detect visually | Harder for humans to identify |
| Slower to scale | Rapidly scalable |
| Often isolated | Frequently automated |
| Basic receipt manipulation | Deepfakes and synthetic identities |
Why preventing fraud matters right now
Fraud creates more than financial loss. Each incident erodes internal confidence, damages external reputation, and exposes weaknesses in controls that auditors and regulators increasingly expect to be addressed. Businesses worldwide are losing a material share of annual revenue to fraud, and many only detect issues well after funds have left the organisation.
Several forces are converging:
- Faster, decentralised expense and payment workflows
- Reduced in‑person oversight in hybrid environments
- AI tools that make falsification easier and harder to spot
Without modern prevention strategies, small issues compound quietly until they become systemic.
Check out the fraud trends by the numbers
Intelligent tools can turn travel, expense, and accounts payable (AP) from basic operations into strategic growth. Next-generation technologies that embed these three capabilities can give your business the tools to stop fraud before payment occurs.
Check the trendsKey fraud realities finance leaders cannot ignore
Drawing on insights from How to prevent fraud in an AI-driven world, several themes stand out for CFOs and senior finance decision‑makers.
1. Fraud is rarely an isolated incident
Fraud often signals weak or disconnected processes rather than a single bad transaction. Manual workflows, limited visibility, and delayed audits make it easier for patterns of fraud to go unnoticed over time.
2. AI has changed the nature of fraud risk
Deepfake invoices, synthetic identities, and manipulated payment details are no longer fringe threats. These techniques exploit familiarity and urgency, pushing employees to bypass controls or approve out‑of‑policy spend.
3. Visibility gaps create financial leakage
When travel, expense, and accounts payable data sit in silos, organisations struggle to detect duplicate claims, mischaracterised expenses, or serial low‑value fraud until well after reimbursement or payment.
4. Technology is critical, but not sufficient on its own
AI and automation can analyse transactions at scale and flag anomalies in real time. However, over‑reliance on technology without human oversight introduces its own risk, particularly as fraud tactics evolve.
5. Resilience requires embedded controls, not bolt‑ons
Effective fraud prevention is built into everyday workflows. Policies, approvals, analytics, and audits must work together as part of a broader framework rather than as reactive checkpoints.
What happens when fraud controls fail
Failing to modernise fraud prevention has tangible business consequences:
- Revenue loss through undetected or late‑detected fraud
- Audit and compliance strain as controls fail to scale with growth
- Operational inefficiency caused by manual reviews and rework
- Reduced trust between finance teams, employees, and leadership
In fast‑growing or decentralised organisations, these risks increase sharply as transaction volumes rise.
Automated audits reduce the cost of mistakes in expense reports by 60% - SAP Concur internal data
Why CFOs are prioritising AI fraud prevention
Finance leaders are increasingly expected to balance growth, productivity, and risk. Many CFOs already expect AI to identify more errors and potential fraud than traditional manual processes, yet nearly half remain concerned about relying on technology alone. This tension highlights the need for a balanced, end‑to‑end approach that combines intelligent systems with strong governance and skilled human review.
Fraud prevention is no longer just an operational issue. It is a leadership and resilience issue.
Go deeper with the full guide
This article highlights only a fraction of the insights from How to prevent fraud in an AI-driven world. The full guide explores emerging fraud trends, the role of AI and automation, and how organisations can build a more resilient, scalable fraud prevention framework without overburdening finance teams.
Download the full guide to understand the complete framework and the practical steps finance leaders can take to stay ahead of fraud in an AI‑driven world.
FAQs
What is changing about fraud risk in finance?
Fraud is becoming more difficult to detect as organisations adopt faster payment processes, hybrid work models, and AI tools. AI can now be used to create convincing fake receipts, invoices, and even audio or video approvals that are harder for human reviewers to identify.
Why is AI-driven fraud a growing concern for finance leaders?
AI has lowered the barrier for creating fraudulent financial documents and approvals at scale. This increases operational, compliance, and governance risks for finance teams and creates new challenges for traditional manual review processes.
What types of fraud can occur across travel, expense, and accounts payable processes?
Organisations may face risks including fake receipts, manipulated invoices, duplicate claims, mischaracterised expenses, and fraudulent payment details. Visibility gaps between systems can make these issues harder to detect before reimbursement or payment occurs.
Why are disconnected finance systems a fraud risk?
When travel, expense, and accounts payable data exist in separate systems, organisations may struggle to identify suspicious patterns or repeated low-value fraud. Limited visibility can delay detection until after funds have already left the organisation.
Can AI help prevent fraud?
AI and automation can help finance teams analyse transactions at scale, identify anomalies, and flag suspicious activity in real time. However, the blog notes that technology alone is not sufficient without strong governance and human oversight.
Why is fraud prevention becoming a CFO-level priority?
Finance leaders are increasingly responsible for balancing growth, productivity, compliance, and risk management. Fraud prevention now impacts revenue protection, operational resilience, internal trust, and regulatory readiness.
What are the business impacts of weak fraud controls?
The blog highlights several potential impacts, including revenue loss, operational inefficiency, increased audit and compliance pressure, and reduced trust between employees, finance teams, and leadership.
What makes fraud prevention strategies effective?
The article explains that effective fraud prevention requires embedded controls across everyday workflows. Policies, approvals, analytics, audits, automation, and human oversight should work together as part of a broader fraud prevention framework.
