Summary
A Fortune 50 organization faced systemic inefficiencies stemming from siloed data, disjointed processes, and inconsistent communication. Teams struggled with manual workarounds, fragmented systems, and slow response times. Our team was tasked with identifying where generative AI could drive real business value—not just excitement. Over three sprints across multiple domains, we used immersive research, service mapping, and co-creation workshops to reveal hidden pain points and architect practical AI-powered solutions. We developed ten ready-to-build concepts, each with a business case, technical blueprint, and cost-savings estimate. Two of the top concepts were prioritized into MVP plans for seamless handoff to internal teams. The result: faster response times, increased labor efficiency, and millions in projected savings.
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