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Monday, February 9, 2026

AP Fraud Playbook

 

AP Fraud Playbook: How to Identify and Mitigate Risks in Your Accounts Payable Process

AP fraud often hides in plain sight. If your team struggles to spot invoice fraud red flags or tighten vendor master controls, you’re not alone, and there’s a way forward. This playbook breaks down practical steps to spot risks, strengthen your payment approval workflow, and build fraud prevention into your daily routine.

Reality check: In the 2025 AFP Payments Fraud and Control Survey, 79% of organizations reported attempted or actual payments fraud in 2024, and only 22% recovered 75% or more of the funds lost. (Source: AFP press release)

Let’s get your controls working smarter, not harder.

Identifying AP Fraud Risks

Understanding the risks in accounts payable is crucial to protecting your organization. Recognizing common fraud schemes is the first step toward a stronger defense.

Common Fraud Schemes and Red Flags

Many fraud schemes can target your accounts payable process. Fake invoices, altered payment details, and duplicate payments are a few examples. Unusual vendor requests for changes in payment details or last-minute invoice submissions can signal fraud. Be especially cautious with vendors you’ve never heard of, and verify vendor details using independent sources.

High-signal red flags experienced AP teams watch for:

  • Invoice amounts that repeatedly land just under an approval threshold.
  • Round-dollar invoices (for example, $5,000 or $10,000) with vague descriptions.
  • Vendor address is a P.O. box only, a residential address, or matches an employee address.
  • A sudden spike in payments to one vendor without a matching increase in POs, receipts, or volume.
  • Bank account or remit-to changes paired with urgency (“pay today” or “we’ll stop service”).
  • Sequential invoice numbers with gaps, duplicates, or “too perfect” patterns.
  • Multiple vendor records sharing the same bank account, email domain, phone, or tax ID.
  • Unusual timing (late night approvals, weekend changes, or rush payments right before month-end).

Business Email Compromise (BEC): The Payment Change Trap

One of the most common real-world fraud scenarios is an email that looks like it came from a vendor, your CFO, or a senior leader asking for a bank change or a rush payment. The message is often calm, plausible, and urgent.

Example (what it can look like):
“Hi AP Team, we updated our banking details. Please send today’s payment to the new account below. We’re trying to avoid a service interruption.”

Controls that stop BEC cold:

  • Out-of-band verification for any bank change or high-risk payment (call a known number on file, use a vendor portal, or a documented ticket).
  • Dual approval for vendor master changes, separate from invoice approval.
  • Payment holds for banking changes until verification is completed and documented.
  • Clear escalation path: AP should feel supported when they slow down a “rush” request.

Vendor Onboarding Best Practices

Proper vendor onboarding is essential in preventing fraud. Start by verifying each vendor’s information thoroughly. Use a checklist to ensure every required document is reviewed. Cross-check vendor addresses and banking details with official records, and require dual approval for any changes to vendor information.

Practical vendor onboarding checklist (one-page version):

  • Validate legal name, tax ID, and address against authoritative sources (not only what the vendor emails you).
  • Verify banking changes out-of-band (call a known phone number on file, not a number from the request).
  • Require role-based approvals for new vendor setup and for vendor maintenance (separate from invoice entry).
  • Block “free email” domains for banking changes unless reviewed (for example, Gmail or Yahoo) when policy allows.
  • Log every change to vendor master data and review a weekly change report.

Invoice Fraud Red Flags

Invoice fraud can go unnoticed if not properly managed. Look out for invoices that lack detail or contain vague descriptions. Comparing invoices to purchase orders and delivery receipts can help verify authenticity. Also, watch for duplicates that can lead to double payments, especially when vendors submit “revised” invoices.

Quick invoice checks that catch real-world fraud:

  • Same invoice number, same amount, or same remit-to across multiple submissions.
  • Mismatch between vendor name and remit-to entity (or slight name changes that look intentional).
  • Service invoices without dates, scope, rate detail, or an internal requester.
  • First-time vendor invoices that bypass the normal PO process.
  • Invoices that reference a PO you cannot find in your system.

Strengthening AP Controls

Once you know the risks, it’s time to fortify your controls. This section covers key practices to bolster your AP defenses.

Segregation of Duties Importance

Segregation of duties is a cornerstone of strong internal controls. It ensures no single person handles all aspects of a transaction. This division reduces the risk of fraud and errors. For example, the person authorizing payments should not be the person processing them. Regularly review your workflows to confirm duties are appropriately divided, and document any necessary exceptions.

Three-Way Match and Positive Pay

The three-way match compares the invoice, purchase order, and receiving report before payment. It helps prevent paying for goods not received and exposes pricing and quantity mismatches. Positive Pay is a bank service for check payments where your issued-check file is matched against checks presented for payment. Many banks also offer Payee Positive Pay, which helps confirm the payee name. If your organization relies on ACH or wires, ask your bank what verification and fraud-control options they offer for electronic payments.

Vendor Master Controls and Duplicate Detection

Maintaining accurate vendor master data is crucial. It helps prevent duplicate payments and unauthorized changes. Regular audits of vendor information can identify inconsistencies. Use automated checks to detect duplicates and flag unusual edits (like bank changes, address changes, or email changes). A clean vendor master reduces fraud risk and improves AP efficiency.

Leveraging Technology and Training

Technology and training are powerful allies in the fight against fraud. They equip your team with tools and habits that reduce risk every week, not just after something goes wrong.

AI Fraud Detection in AP

Artificial Intelligence (AI) can strengthen fraud detection, but it works best as an added layer on top of strong core controls (segregation of duties, approvals, and three-way match). In practice, AI tools help by finding patterns humans miss at scale.

Where AI and automation usually add value first:

  • Duplicate detection beyond invoice number (same amount, same date range, similar descriptions, or same bank account across vendors).
  • Anomaly alerts (unusual payment timing, sudden vendor spend spikes, new payees, unusual approver behavior).
  • Vendor master monitoring (bank changes, address changes, email changes, and “near-duplicate” vendor records).
  • Exception routing (sending high-risk invoices to a higher approval tier or a second reviewer).

Phishing Drills and Culture Building

Phishing scams are a common entry point for fraud. Regular phishing drills can train your team to recognize and avoid these threats. Culture matters just as much: encourage quick escalation, reward caution, and treat “slow down and verify” as good performance.

Continuous Monitoring and KPIs

Continuous monitoring of transactions is essential. Set key performance indicators (KPIs) that reflect both control coverage and control quality. Review them regularly to spot drift before a fraud event forces a reset.

Simple KPI dashboard ideas that AP leaders actually use:

  • % of spend and invoices processed with three-way match (where applicable).
  • Vendor master change volume per week (and % with dual approval and documented verification).
  • Duplicate payment rate (confirmed duplicates per 1,000 invoices).
  • Rush payments as a % of total payments (and how often the rush bypassed standard workflow).
  • Exception queue aging (how long high-risk items sit before review).

60-Second AP Fraud Self-Assessment

Answer these quickly. If you have two or more “no” answers, your fraud risk is likely higher than you think.

  • Do we require out-of-band verification for all vendor bank changes?
  • Is vendor master maintenance separated from invoice entry and payment release?
  • Can we produce a weekly vendor change report, and does someone review it?
  • Do we have strong duplicate detection beyond invoice number only?
  • Do “rush” payments still follow a documented workflow with approvals and evidence?

The AP fraud landscape is challenging, but with the right strategies, you can protect your organization from potential losses. Proactive controls, consistent monitoring, and a culture that supports verification can prevent expensive mistakes.

Want a quick AP fraud controls review?

If you want a second set of eyes on your AP workflow (vendor changes, approvals, duplicate detection, and payment controls), book a short call and I’ll help you map the biggest risks and the fastest fixes.

Book a call

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Saturday, February 7, 2026

Quantum-Era Cybersecurity & AP

How Quantum-Era Cybersecurity Could Affect Accounts Payable

In a February 2026 blog post, Google warned that advances in quantum computing pose a serious and accelerating cybersecurity challenge for businesses. While quantum computers are still developing, their impact could eventually reach everyday business functions, including Accounts Payable.

Accounts Payable teams manage highly sensitive data such as invoices, vendor bank details, payment approvals, tax records, and contract files. Today, this information is protected using encryption. The concern is that powerful quantum computers could eventually break common asymmetric encryption methods like RSA and ECC. These methods are widely used for secure logins, digital signatures on invoices, and payment instructions. Symmetric encryption, such as AES, is expected to remain more secure, but many AP workflows still rely on systems that could become vulnerable.

One major risk is known as “store now, decrypt later.” Attackers can steal encrypted data today and save it. Years from now, possibly in the 2030s, they could decrypt it using quantum technology. For AP teams, this could expose decades of vendor payment history, tax records, and contracts. Since many financial records must be retained for seven to ten years or longer, this creates long-term fraud, audit, and regulatory risks.

There is also a trust concern. AP systems depend on digital signatures and secure portals to confirm that invoices and vendor bank changes are legitimate. If those protections weaken, fraud tactics like fake vendor updates and business email compromise could become easier.

AP teams do not need to panic or replace systems overnight. However, now is the time to plan. AP leaders should work with IT to map where encryption is used, ask vendors about post-quantum security plans, and prioritize flexibility in future system upgrades.

By acting deliberately now, Accounts Payable teams can safeguard financial integrity, preserve stakeholder trust, and position their organizations ahead of inevitable security and regulatory shifts toward quantum-safe standards.

Further Reading

For more on quantum-era cybersecurity and its implications for finance and payments:

Google's February 2026 warning: "The quantum era is coming. Are we ready to secure it?" by Kent Walker and Hartmut Neven.

Federal Reserve analysis: "Harvest Now, Decrypt Later": Examining Post-Quantum Cryptography and the Data Privacy Risks for Distributed Ledger Networks (September 2025).

Nacha report: Protecting Payments in the Quantum Era: What You Need to Know (Payments Innovation Alliance publication).



Monday, February 2, 2026

AI Generated Receipts

Don’t Ignore the Threat: AI-Generated Receipts and the AP Control Gap

As accounts payable professionals, we’ve long known that fraud is a rising risk in AP and expenses. What’s new, and alarming, is how generative artificial intelligence (AI) is fundamentally shifting the risk landscape. What used to require photo-editing skill or insider access now takes seconds with text prompts. In many cases, fraudulent expenses can now pass through reimbursement before anyone has time to look closely. That raises a serious question: is your AP and expense control environment keeping up?

What’s happening now

  • According to vendor-reported data from AppZen, AI-generated receipts represented approximately 14% of detected fraudulent documents processed on its platform in September 2025, up from near zero the year prior. [2]
  • Surveys show that nearly 70% of CFOs believe it is likely, or already confirmed, that employees are using AI tools to falsify travel and expense receipts. [3]
  • Third-party AP and expense platforms report flagging over US$1 million in suspected fraudulent invoices and expenses in a 90-day period using AI-enabled detection systems during late-2025 pilot deployments. [4]

These figures are being reported by vendors operating at scale, processing millions of expense and invoice submissions annually, which provides early visibility into AI-driven fraud patterns before they appear in traditional loss statistics.

What’s striking is the low barrier to entry. No advanced Photoshop skills are required anymore. A user can prompt a generative-AI model (such as those from OpenAI or Google LLC) to output a receipt image with realistic textures, logos, timestamps, and even signatures. [7]

Why this matters for AP teams

Here are some of the direct implications for AP and expense processes:

  • Traditional receipt review based on visual inspection alone is increasingly unreliable. As one controls leader put it, “Do not trust your eyes.” [8]
  • Expense reimbursement processes sit squarely within AP or AP-adjacent workflows. Fraud here translates into direct financial losses, audit findings, and internal control failures.
  • The growing sophistication of fake receipts elevates regulatory, tax, and compliance risk, including false business-expense reporting, improper tax deductions, and policy violations.
  • As AP teams migrate toward automation and digital workflows, the attack surface expands. More electronic submissions, remote approvals, and faster processing can reduce time available for manual controls.
  • For APPG members advising or operating in mid-market firms (10–30+ invoice or expense submissions per month), the assumption that small size equals low risk no longer holds. AI-enabled fraud scales quickly and cheaply.

It is also important to note that AI-detection tools are not perfect. Screenshots can strip metadata, some generators leave fewer artifacts, and human judgment still plays a role. Effective defense increasingly requires a hybrid approach combining technology, analytics, and informed review.

Key control gaps AP teams should assess today

Here are control areas AP leaders should audit or strengthen:

Control Area Risk Gap Remediation Focus
Receipt and image verification Visual inspection only; no metadata or image-artifact checks Use software that analyzes image metadata and pixel-level artifacts to flag suspicious patterns. [9]
Expense submission workflows Delayed submission and weak policy enforcement Require receipt upload at time of expense, enforce corporate card usage, and restrict cash reimbursements.
Approval and vendor verification Approvers lack vendor familiarity; fictitious vendors go unnoticed Strengthen vendor master controls, review high-frequency expense vendors, and monitor items outside normal patterns.
Data analytics and monitoring Spot audits only; anomalies remain undetected Implement analytics to flag repeated vendors, out-of-band amounts, rapid post-trip submissions, and shared image metadata.
Audit and detective controls Fraud discovered after reimbursement Deploy real-time alerts alongside retroactive sampling and integrate findings with AP and risk teams.

What AP teams can do now (90-day action plan)

Here is a practical action plan AP leaders can execute in the next 90 days:

  1. Schedule a focused control-risk review addressing AI-generated receipts and document authenticity within the AP and expense framework.
  2. Inventory expense submission channels, including paper versus digital, number of reviewers, and payment methods such as corporate cards, P-cards, or personal reimbursements.
  3. Evaluate AI-detection or image-artifact analysis capabilities now available in many AP and expense platforms. [10]
  4. Update expense and vendor policies to reinforce receipt requirements, defined submission time windows, corporate card usage, and random audits of high-risk claims.
  5. Build analytics dashboards to monitor unusual patterns such as frequent small vendors, clustered submissions, or receipts sharing similar metadata or image characteristics.
  6. Communicate clearly with AP teams and business units that AI-driven document fraud is a priority risk area for FY26, and that approvers are a critical part of the control environment.
  7. Conduct a retrospective audit focused on high-risk expense categories, such as cash reimbursements, repeat vendors, and frequent low-dollar claims, rather than attempting a full historical review.

Why this matters for APPG members

For professionals working in accounts payable and expense management, this issue touches core APPG themes: process integrity, risk management, automation, and advisory value for internal stakeholders and clients.

As generative AI continues to improve in realism and accessibility through 2026 and beyond, staying reactive is no longer enough. Proactively strengthening AP controls around document authenticity is quickly becoming a core competency for modern AP teams.

Discussion prompt for the APPG community

Let’s turn this into a practical discussion. I invite APPG members to respond:

  • When was the last time your organization reviewed its expense-reimbursement controls specifically for fraud and document authenticity?
  • Do you currently use any tool or process to detect AI-generated or manipulated receipt images? If yes, what works; if not, what is the barrier?
  • What is the biggest manual bottleneck in your expense workflow, and how might it be increasing fraud risk?

If you would like to help build an APPG peer checklist or benchmark on AP and expense fraud controls, reply below or send me a DM and we will organize a short member survey.

Thanks for reading. Let’s stay ahead of the fraud curve and continue elevating the strategic value of AP.

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More on this topic:

AP Fraud Playbook

  AP Fraud Playbook: How to Identify and Mitigate Risks in Your Accounts Payable Process AP fraud often hides in plain sight....