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Process Failure Case Studies

Real-world breakdowns of data misuse, weak QA, document governance failures, broken evidence trails and process failures.

Use this hub when you want concrete examples of what can happen when important information is collected, processed, published or used without enough workflow control, source traceability, QA or human review.

Articles

All process failure case studies

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Fashion for Relief: When a Charity Cannot Clearly Show Where the Money Went

Fashion for Relief raised almost £4.8 million but spent only 8.5% of its expenditure on charitable grants. A UK regulator found weak records, unauthorised trus…

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Feeding Our Future Fraud: When Fake Attendance Records Became Proof of Delivery

Feeding Our Future used fake attendance lists, meal counts and invoices to support claims for meals that were never served. More than $240 million was fraudule…

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Modest Needs Foundation Fraud: When Charity Oversight Exists Only on Paper

Modest Needs founder Keith Taylor admitted stealing more than $2.5 million in donations intended for low-income families. He also admitted creating the appeara…

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South Africa’s Diesel Price Error: What 0.93 Instead of 93.00 Shows About Human Review

A diesel levy reduction of 93.00 cents per litre was captured as 0.93 cents during South Africa’s May 2026 fuel-price calculation. The mistake was human. The w…

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Vietnam’s Environmental Monitoring Data Manipulation: When Automated Evidence Cannot Be Trusted

Vietnamese investigators found signs of interference or data alteration at 168 of 306 environmental-monitoring stations inspected. The readings were allegedly…

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Cambridge English IELTS marking error: what the £875,000 Ofqual fine shows about weak data workflows

What the Cambridge English IELTS marking error and £875,000 Ofqual fine show about weak data workflows, traceability, monitoring and human review.

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Cambridge OCR physics exam errors: what the £270,000 Ofqual fine shows about weak QA workflows

What the Cambridge OCR physics exam errors and £270,000 Ofqual fine show about weak QA workflows, source data checks, mark schemes and review control.

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ManageMyHealth data breach: what health document leaks show about weak data governance

What the ManageMyHealth data breach shows about document governance, sensitive records, access control, retention rules, audit trails and AI-ready source contr…

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Pearson fined £2m by Ofqual: what repeated exam failures show about weak process control

What Pearson’s Ofqual fine shows about repeated assessment failures, weak process control, risk signals, escalation, monitoring and traceability.

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The Post Office data breach shows why document publishing needs a QA workflow

What the Post Office data breach shows about document publishing QA, redaction, version control, sensitivity checks and controlled public release workflows.

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Robodebt Failed Because Income Averages Were Treated as Proof of Debt

Robodebt shows what happens when the wrong data points are used to make serious decisions, human review is weakened, and a system turns income estimates into d…

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South Africa’s AI Policy Failed Because the Evidence Trail Broke

South Africa’s withdrawn AI policy shows why evidence-heavy public work needs source traceability, citation checking, human review, and controlled AI workflows.

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Calculators

Check whether the same risks exist in your workflow

These calculators help test whether source traceability, reporting bottlenecks or slow review processes may be creating avoidable risk in your own work.

Services

How the services connect to this topic

Each hub can connect to all three services, but the right starting point depends on where the workflow is breaking.

Service 01

Data Collection & Intake Systems

For teams that want to reduce risk at the point where information first enters the workflow.

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Service 02

Traceable Evidence Workflow Support

For teams that need a clearer evidence trail before findings, recommendations, summaries or decisions are used.

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Service 03

Data Use, Reporting & Communication Systems

For teams publishing reports, dashboards, documents or public outputs that need QA, review, version control and sign-off.

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FAQ

Process Failure Case Studies FAQ

Use these answers to choose the next article, calculator or service path.

What is a process failure case study?

It is a practical breakdown of a public failure that looks at the workflow behind the error, not only the event itself.

What do data workflow failures usually have in common?

They usually involve weak intake, unclear rules, poor traceability, missing monitoring, weak review or late correction.

How can weak QA lead to public harm?

When high-stakes outputs are not checked properly, people may rely on wrong scores, weak evidence, unsafe documents or unsupported decisions.

Why do document publishing workflows fail?

They fail when version control, redaction, metadata checks, sign-off and live-page review are treated as optional.

What can Robodebt, exam errors and data breaches teach evidence teams?

They show that official-looking outputs can still be wrong when the workflow behind them is not traceable, tested or reviewed.

How can teams reduce the risk of similar failures?

Use source IDs, clear ownership, documented rules, review status, monitoring, escalation paths and a correction workflow before people rely on the output.

Adjacent hubs

Move to the next part of the workflow

Most evidence and reporting problems touch more than one stage.

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Want to reduce the risk of weak workflows becoming public problems?

If your team handles high-stakes data, evidence, documents, AI outputs or public reports, I can help review and redesign the workflow so errors are easier to catch before people rely on the output.