GYSP Signal · Free Architecture Diagnostic
Your architecture has a signal. Let's read it.
Get a concrete estimate of your recoverable waste percentage and yearly savings potential broken down by category, benchmarked against your industry and execution timeline.
Available Diagnostics
Four diagnostic lenses. One architecture.
Each diagnostic produces a concrete dollar estimate tied to your specific answers. Not a generic maturity score.
Cloud FinOps Diagnostic
How much are you paying for nothing?
Maps your environment against 6 waste categories: commitment gaps, zombie resources, unscheduled environments, tagging gaps, over-provisioned instances, and data transfer.
AI FinOps Diagnostic
Are your AI costs compounding or producing?
Audits API spend efficiency or GPU infrastructure utilisation depending on your stack. Identifies prompt bloat, idle GPU clusters, and model selection mismatches.
Data Readiness Diagnostic
Can your data actually support AI?
Diagnoses data quality, pipeline maturity, and governance posture across your stack. These are the factors that determine whether AI projects ship or get abandoned at 42%.
DevOps Velocity Diagnostic
Where is engineering time going?
Maps your DORA metrics and CI/CD maturity to surface where the 33% dev time lost to tech debt is concentrated, and what architectural changes recover the most hours.
Concrete Output
Not a maturity score. A dollar amount.
The diagnostic output references your exact answers, attributes waste to specific named categories, and gives you Week 1 actions. No generic PDFs, no best-practice platitudes.
- Estimated waste % benchmarked against your industry
- Yearly savings broken down by category
- Your answers compared side-by-side with industry targets
- Specific Week 1 actions with effort ratings
- Phased recovery roadmap (Week 1 / Month 1 / Quarter 1)
Proof · Multi-Cluster Fraud Detection Platform
GYSP reduced infrastructure costs by 30% on a real-time fraud detection platform processing millions of transactions daily, while improving detection accuracy to 99.9%.
Read the case study →