01 25–45%
Cloud right-sizing + commitments
Workload-aware instance + storage selection plus multi-account RI / Savings Plan portfolio modelled to your forecast, not pushed by a vendor.
/ resources / roi calculator
How much could you
cut from cloud + AI?
Two-vector model: hyperscaler bill and AI/LLM spend. Tabs let you scope each independently then combine with a 10% overlap haircut. Bands anchored to BluOryn engagements, conservative on the low end.
How the model works
- › Cloud bands depend on workload (Web/Data/ML/Mixed) + commitment horizon (12/24/36 mo).
- › AI bands depend on maturity stage + model mix (frontier-only vs hybrid vs open-source).
- › Combined view applies a 10% overlap haircut — some levers act on both surfaces.
Where the savings come from
Three levers. No magic.
Most cloud-cost claims fall apart because they sell one lever and ignore the others. We pull all three, in order, and show our workings.
02 25–55%
AI routing + caching
Cheap small models handle simple turns. Prompt caching + KV-cache reuse. Eval-driven prompt shrinking. Quantization for self-hosted.
03 8–18%
Platform + architecture
Idle elimination, region consolidation, intelligent tiering, ARM/Graviton on the cloud side. Continuous batching + autoscale-to-zero on the AI side.
Why these numbers hold up
Anchored in real engagements.
The model uses the same conservative bands we cite on services pages. We show our workings on the first call — no vendor incentives, no kickbacks from cloud providers.
$40M
Annual overhead eliminated for one F500 security program
30×
Data pipeline speed-up for a global media agency
75%
Build/test cycle reduction (100 → 25 min) for automotive supplier
~3 wk
Typical payback window from audit to first invoice cut
Estimate looks interesting?
Get the actual numbers.
The calculator is a starting point. A 30-minute briefing with a senior architect gives you a tight, evidence-backed range for YOUR environment — usually within ±5 percentage points.