How to Prevent Fraud in an AI‑Driven World

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.

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 trends

Key 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.

The cost of not acting

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 this is a CFO‑level priority

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.