Boston Children’s Hospital has woven AI into its core operations, treating it as infrastructure rather than a collection of isolated tools. The results are striking: over 40 rare conditions previously undiagnosed have been identified, 60,000 hours saved across automated workflows, and more than $7 million in labor redeployed to higher-value work. By creating a secure internal AI platform similar to ChatGPT, the hospital enables staff across research, clinical, and administrative teams to access data, synthesize medical literature, and streamline tasks quickly. The approach recognizes that human cognitive limits, not effort, often prevent rare disease diagnoses in complex cases. Tools that once took months to build can now launch in days thanks to this shared foundation. Why it matters: This shows how AI, when embedded as enterprise infrastructure rather than piecemeal solutions, can dramatically improve patient outcomes and operational efficiency in healthcare settings where every minute and dollar counts.