India demonetization ATM/banking software overload
India's sudden withdrawal of high-value currency notes overwhelmed the country's banking and ATM systems for weeks, causing long queues, cash shortages, and significant economic disruption.
The damage was public. The root cause was preventable.
India's sudden withdrawal of high-value currency notes overwhelmed the country's banking and ATM systems for weeks, causing long queues, cash shortages, and significant economic disruption.
What the software actually got wrong
Banks and the central bank had too little lead time to recalibrate ATM software and banking systems to dispense and process the newly introduced currency denominations, leaving much of the ATM network non-functional or severely limited for an extended period.
Banks and the central bank had too little lead...
Banks and the central bank had too little lead time to recalibrate ATM software and banking systems to dispense and process the newly introduced currency denominations, leaving much of the ATM network non-functional or severely limited for an extended period.
Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.
Beyond code coverage and "shall" testing
Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.
Surfaces this before code exists
Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.
Connects the failure mode to the hazard
Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.
Find the overlooked root causes before they ship.
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