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Interloom’s method involves analyzing vast quantities of operational data—such as support emails, service tickets, call logs, and work orders—to construct a "context graph." This dynamic model illustrates how challenges are genuinely addressed within a company. Jakobi compares it to Google Maps: just as the app refines routes using live traffic information, Interloom charts the problem-solving routes taken by operational specialists, then applies these pathways to direct both AI systems and new hires.

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