For decades, doctors relied on observation and intuition to diagnose what they could not see. They examined symptoms, formed hypotheses, and intervened based on experience rather than evidence. The invention of the CT-scan changed everything. For the first time, the full anatomy of a patient could be viewed in a single image. Complexity became clarity. Treatment could be targeted, risk reduced, and outcomes improved.
Enterprise IT faces a similar turning point. Over years of growth, mergers, and regulatory demands, most organizations have accumulated millions of lines of code across thousands of applications and dozens of technologies. Much of the original knowledge has disappeared as engineers moved on, while documentation lags behind reality. As a result, every change becomes
a gamble: somewhere, something breaks, but no one knows where or why. The lack of visibility makes it impossible to see how systems truly interact—what depends on what, and what can safely be altered. When systems fail, attention shifts entirely to stabilizing and firefighting, leaving no capacity for innovation.
The outcome is predictable: slower time-to-market, rising maintenance costs, and growing operational and reputational risk as critical services fail or become unreliable.
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