The fraud tax is already in your budget. You’re just calling it something else.

The fraud tax is already in your budget. You’re just calling it something else.

Bottom line

Most organizations are already paying for candidate fraud. The cost shows up as churn, rework, early replacements, and delivery slippage — not as a fraud line item. Procurement has the tools to make this visible and govern against it.

The problem with waiting for an incident

Most organizations treat candidate fraud governance as something that activates after a high-impact event. A payroll diversion. An access breach. A substitution scheme that gets exposed. Before that, the costs sit across teams and categories, and no one connects them.

They show up as repeated screening and resubmission cycles. Non-productive starts. Early replacements. Project delays from false capacity. Time-to-fill restarts after a role falls through. Teams treat each instance as a bad hire, a performance issue, or a market quality problem. Without measurement, it becomes normal variance.

The fraud problem is not usually a single visible incident. It is a pattern of measurable waste that no one has named — and therefore no one has governed against.

Procurement already has the lens for this. Managing third-party risk by reducing variance is the job. The question is whether fraud-related cost is being treated as a distinct category worth measuring, or absorbed quietly as ordinary friction.

A field example

A contingent role is filled twice in 60 days. The first start fails early. The second delivers but requires heavy oversight and rework. No one labels it fraud. The costs land across teams: wasted manager time, project delay, additional vendor spend, and another onboarding cycle. Without measurement, it becomes normal churn.

A simple model: The cost continuum

Use this to align stakeholders without arguing about intent. The value of the continuum is that it gives buyers a framework for naming costs they have been absorbing without language for them.

Delivery failure

  • Wasted interviewing and coordination cycles
  • Rescreening and resubmission after early failure
  • Onboarding resets and access rework

Direct financial loss

  • Pay for non-delivery or partial delivery
  • Replacement recruiting and onboarding costs
  • Disputed invoicing and ownership disputes

Operational and competitive harm

  • Missed milestones and rework from false capacity
  • Shadow management overhead absorbing team bandwidth
  • Delayed outcomes and compounding project disruption

Catastrophic loss

  • Unauthorized access to sensitive systems or data
  • Regulatory exposure from location or identity misrepresentation
  • Client or reputational impact from a visible fraud incident

Procurement impact comes from reducing Level 1 through 3 before Level 4 forces a crisis response. Most organizations have decent visibility into Level 1. They are absorbing Level 2 and 3 without measurement. Level 4 is the one no one plans for — which is usually the wrong time to start.

What procurement can measure in 30 to 60 days

You do not need perfect attribution to take action. Start with two indicators most organizations can already access:

Start failure rate

Starts that do not become productive delivery within the first two to four weeks. Track by supplier and channel, not just in aggregate.

Early replacement rate (30 / 60 / 90 days)

Roles replaced quickly due to mismatch, non-performance, or integrity concerns. When these cluster by supplier or channel, that is where minimum standards will have the most impact.

As your measurement matures, add:

  • Cycle churn: requisitions reopened due to early failure or concerns 
  • Disputed outcomes: invoicing disputes, ownership disputes, questions about who verified what 

Questions worth asking internally

These questions are designed for program leaders and procurement executives who want to understand where their exposure sits before an incident makes the question urgent.

  1. When a contingent placement fails in the first 60 days, what category does it land in — bad hire, performance issue, or fraud indicator? Who decides?
  2. Do you know your start failure rate by supplier and channel, or only in aggregate?
  3. Has anyone mapped which sourcing channels have the least consistent verification? Is that also where your highest-risk roles sit?
  4. If a Level 3 incident happened last year — a delayed project traced back to a worker delivering at 60% capacity — would anyone have recognized it as fraud-related, or is it sitting in a project delay budget somewhere?
  5. When did you last review early replacement data by supplier? What did it show?

Start here

Baseline your start failure and early replacement rates by supplier and channel. The variance will tell you where minimum standards will have the most impact. You do not need to prove fraud intent to act on the data — the pattern is enough to justify tighter requirements.

Go deeper

Procom has published a full framework for assessing your organization’s fraud risk posture — including the financial modeling behind the full cost continuum and a self-assessment tool you can run internally. Download the whitepaper.

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If any of this maps to what you’re seeing in your program, I’m happy to compare notes. You can reach me at [email protected]  or connect with me on LinkedIn.

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About the author

Simon Gray

With over 25 years of experience in strategic staffing, Simon leads Procom’s Workforce Solutions division to help clients hire quickly and compliantly.

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