The Fraud Triangle was developed to explain conditions associated with fraudulent behaviour: pressure, opportunity and rationalisation. When I first encountered the model in a GMP context, I found the structure useful, but I also became uncomfortable with the word “fraud” if it led us to assume deliberate wrongdoing too quickly.
Most quality problems I have seen did not begin with somebody arriving at work intending to compromise GMP.
They began with people under pressure, working within imperfect systems, making decisions that became easier to justify one step at a time.
That is why I think the model is useful beyond fraud itself.
Pressure changes what feels reasonable
Pressure in regulated operations can come from many places: a patient waiting, a batch at risk, a production target, an equipment problem, an audit commitment or simply too much work for the time available.
Pressure does not automatically make people ignore requirements. But it changes the environment in which decisions are made.
A shortcut that would look obviously unacceptable during a calm review can begin to look surprisingly reasonable when the alternative appears to be losing the batch, missing the patient dose or stopping production.
The important control is therefore not to pretend pressure should never exist. It is to understand where pressure is predictable and make sure the system does not leave people alone with a bad choice.
Opportunity often comes from system weakness
Opportunity sounds sinister in the Fraud Triangle, but in daily GMP work it can simply mean that the system allows something to happen without making it visible.
Perhaps a second review is nominal rather than meaningful. Perhaps data can be changed without a useful audit trail. Perhaps responsibilities overlap so much that nobody really owns the gap. Perhaps the process relies on one experienced person knowing what should happen.
The more a system depends on invisible behaviour, the easier it becomes for local decisions to drift away from intended control.
Again, that does not make people fraudulent. It makes the system vulnerable.
Rationalisation is usually more ordinary than we think
“This is how we always do it.” “The result will be the same.” “The patient is waiting.” “We will document it afterwards.” “This requirement does not make sense here.” “Everybody knows what happened.”
Most rationalisation does not sound like somebody knowingly deciding to do the wrong thing. It sounds like a reasonable explanation constructed around a difficult situation.
Sometimes the explanation is even correct.
The risk begins when the justification stays local and invisible, so the system never gets the opportunity to evaluate whether the exception was defensible or whether the underlying process needs to change.
Look at the conditions before judging the person
None of this removes personal responsibility. People remain responsible for their actions, particularly in regulated environments.
But if our investigation ends with “the operator did not follow the SOP,” we may have identified the final action without understanding why the system made that action likely.
What pressure existed? What opportunity did the process create? What made the decision feel reasonable at that moment?
Those questions do not excuse poor behaviour. They help prevent recurrence.
Because good quality systems should not depend on people being morally perfect under every possible pressure. They should be designed so that doing the right thing remains visible, workable and realistic.
