Real cloud results. Measured.
See how organizations make their cloud pay for its own operations, migrate and modernize critical workloads, strengthen day-to-day operations, and create capacity for what comes next with skie.io.
Featured customer stories
Complex cloud challenges. Clear, measured outcomes.
Cloud efficiency that pays for its own operations
Targeted EKS, EC2 and RDS improvements lowered AWS spend while consumption grew. By month two, verified recurring savings fully covered Guardian managed-services fees.
VMware exit and SAP upgrade in one cutover, on a written savings commitment
With the cloud decision open, AWS won on a written 20%+ commitment against prior infrastructure and managed-services spend. SAP and 40+ applications then moved off VMware in eight months, SAP upgraded in the same cutover. Operated by skie.io since, with a data platform and Muse GenAI agents added on the same estate.
Explore by challenge
What are you trying to improve?
Start with the outcome your organization recognizes. Each one maps to a stage of the self-funding model, and to the customers who have been through it.
Customer proof
All customer stories
11 stories across migration, optimization, operations and automation.
Self-funded operations and budget for innovation
Double-digit lower AWS spend despite growth; Guardian fees fully offset by verified savings from month two.
VMware exit and SAP upgrade in one cutover, then continuous operations
AWS chosen on a written 20%+ savings commitment; SAP and 40+ applications off VMware in eight months with an SAP upgrade in the same cutover, then continuous operations, a data platform and GenAI.
Accelerating M&A integration through cloud migration
A mission-critical SAP S/4HANA environment moved from VMware to AWS in four weeks, with virtually zero downtime, and operated by skie.io since.
1,500+ engineering hours back every month, with Muse on every ticket
Muse enriches, diagnoses and routes high-volume MSP tickets across ServiceNow, ConnectWise and Zoho, and surfaces service risk earlier. Measured December 2025.
Optimized by Sage, run by Guardian, grown fourfold
Monthly AWS spend down 35% in five months, then Guardian operations at the customer's request, and an optimized cloud that has since grown roughly fourfold with AI and data workloads.
$1.8M saved without sacrificing cloud performance
AWS spend down 40% while maintaining 100% uptime through admissions deadlines and absorbing 10× traffic spikes.
ECC to S/4HANA in six months, with six hours of downtime
Brownfield conversion with New GL migration and 100+ Fiori apps; 1,000+ custom objects carried forward and the database cut by 60%.
S/4HANA 1909 live in two countries, on schedule through COVID-19
A highly customized, tightly integrated ECC landscape converted and re-integrated with CRM, MDM, DMS, PI and dealer portals, with a five-day development freeze.
A full SAP estate to HANA, with migration time cut in half
ECC, BW, GRC and BusinessObjects moved from Oracle Database on premises to SAP HANA in SAP's managed private cloud; the ERP migration tuned from 160 hours to 77.
BW/4HANA in the cloud, with 50% faster key reports
BW 7.4 on SQL Server converted remotely to BW/4HANA in SAP's managed private cloud, within a full-landscape move; history kept, redundant layers left behind.
24×7 SAP and infrastructure operations at nearly 15% lower IT cost
Senior engineers replaced an offshore 5×12 incumbent: SAP Basis and functional support, databases, infrastructure and network across 16 data centers, on budget.
How self-funding works
Customers enter at different points. The model is the same.
Some customers begin with a migration. Others begin with cost, operations or automation. Whatever the entry point, Sage savings fund Guardian operations, Guardian keeps the savings from drifting back, and the capacity that frees up funds Muse and what comes next.
San Fernando has gone the whole way round: migration, Guardian operations, continuous optimization, and now Muse.
Ready to start?
See how your cloud can fund what comes next.
A short, zero-risk assessment is the simplest way to find out. We analyze your cloud, show where efficiency can fund operations and create capacity, and only suggest what's likely to help.