Ever felt like there are cloud cost savings right in front of you, but something's holding you back?

The culprit? Lack of trust in cloud savings recommendations from cloud providers or third-party tools.

The stakes are huge: With IaaS and PaaS cloud spend projected to hit $443B in 2025 and cloud waste running at 27%, there's a staggering $120B in industry-wide savings that remains frustratingly elusive.

When cost optimization tools offer recommendations, teams often can't reliably assess their impact. Will they affect performance? Are they safe to implement? Will they actually deliver the promised savings? It's a major trust gap.

The Recommendation Trust Problem

The challenge with cloud optimization recommendations stems from several factors:

1. Lack of contextual understanding - Many tools provide generic recommendations without understanding your specific application architecture and requirements.
2. Performance uncertainty - Engineers worry that following cost-saving recommendations might introduce latency or reduce reliability.
3. Implementation complexity - Even good recommendations often require significant work to implement safely, creating friction and delay.
4. Misaligned incentives - Cloud providers' recommendations may not always prioritize your cost savings over their revenue growth.
5. Historical disappointments - Past experiences with recommendations that didn't deliver promised savings create lasting skepticism.

Autonomous cloud optimization platforms that verify recommendations against your actual workload patterns and guarantee performance can help bridge this trust gap and unlock the potential $120B in industry-wide savings.

Organizations that can overcome this trust barrier will gain significant competitive advantages through optimized cloud spending and more efficient resource allocation.

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What if you could:

• Trust that recommendations won't break your applications
• Know exactly what workloads are affected before making changes
• Have confidence in projected savings with real-world validation
• Implement optimizations without endless approval cycles

That's why we built Sedai

Our autonomous cloud optimization platform bridges the trust gap through intelligent verification, workload analysis, and proven savings—with zero disruption. Reach out to us to learn more.

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