Health systems typically realize 25-40% reductions in cloud infrastructure costs within 90 days of deployment, translating to $500K - $1.6M in annual savings for a mid-sized system. Beyond raw cost reduction, organizations see 50% faster cloud resource provisioning for new clinical initiatives (reducing time-to-value for Epic upgrades or new care coordination tools), 15-20% improvement in cloud cost predictability (eliminating surprise billing and enabling accurate budget forecasting), and 100% compliance audit readiness (all cost optimization actions logged and justified against regulatory requirements). IT teams recover 400-600 hours annually previously spent on manual cost analysis and vendor negotiations, redirecting that capacity to cybersecurity hardening and clinical infrastructure innovation.
ROI compounds over 12 months as the AI model matures. Initial savings (months 1-3) come from quick wins: right-sizing oversized instances, eliminating orphaned storage, optimizing reserved capacity. Months 4-9 yield deeper optimization as the platform learns your clinical demand patterns and identifies structural inefficiencies (redundant environments, suboptimal multi-region architectures, licensing misalignment). By month 12, health systems typically achieve 35-45% total cost reduction while improving clinical system performance and audit compliance. The platform pays for itself in the first quarter; subsequent quarters are pure margin recovery that funds clinical technology investments and strengthens competitive positioning in value-based care contracts.