The real cost of
small mistakes
(and why they are ignored)
Big mistakes get attention. Small ones do not.
And precisely for that reason, they are usually the most expensive.
The problem with "nothing happens"
A poorly filed document
Data entered twice
An email forwarded to correct something
A call to clarify what was already sent
None of this seems serious. Individually, it's not.
According to PwC, European companies lose between 20% and 30% of their operating spend to accumulated internal inefficiencies: rework, preventable errors, and task duplication.
Why small mistakes don't appear in Excel
There are three clear reasons:
The cost is diluted in hours, not invoices.
They are corrected "quickly" and you move on.
No one feels it's "their" problem.
The result is perverse:
an inefficient system that seems stable.
The real impact: money, focus and reputation
McKinsey estimates that operational errors and lack of automation generate between a 5% and 8% annual cost overrun in service companies.
In an SME, this can equal:
- one or two salaries a year
- loss of commercial focus
- clients perceiving disorder even if they can't explain it
The biggest deception: "this is part of the job"
It is not.
It is part of a poorly designed system.
⚠️ When a process:
is not complex. It is fragile.
- needs constant supervision
- generates predictable exceptions
- depends on remembering things
- forces steps to be redone
What companies that reduce this cost do differently
Companies that manage to reduce this invisible drain don't start by cutting people.
They start by asking themselves:
- why does this error exist?
- what step allows it?
- what task only exists to correct another?
💡 What we see at Bitcare
At Bitcare we usually find that many small mistakes share an origin: manual processes where they shouldn't be and systems that don't talk to each other.
How many small mistakes are you paying for?
Identify where your operations are generating invisible costs
It is not about looking for culprits.
It is about redesigning what doesn't work.
Sources:
- • PwC – Global Operations Survey, 2024
- • McKinsey Global Institute – Automation and productivity, 2023
