Cloud & AI Cost Optimization (FinOps)
Cut cloud and AI model spend without slowing anything down
Cut cloud and LLM spend without losing performance through usage and architecture tuning.
What's included
What you get with Cloud & AI Cost Optimization (FinOps)
- Cloud and LLM spend review
- Rightsizing and reserved capacity
- Model choice, caching and prompt tuning
- Cost per customer and per feature
- Budgets and alerts
- Savings report
Free resource · PDF checklist
LLM Bill Reduction Checklist
Caching, model routing and prompt trimming that cut spend without killing quality.
How we deliver
Phases, timelines and what you receive
1-2 weeks
Assess
Current-state review of systems, costs and risks
2-4 weeks
Instrument
Tracing, evaluation, monitoring and cost dashboards
2-6 weeks
Harden
Pipelines, guardrails, alerts and runbooks
Monthly
Operate
Monitoring, incident response and reports
Talk to an engineer
Get a plan for Cloud & AI Cost Optimization (FinOps)
A few fields, no sales script. We reply within 1 business day with next steps.
Models & tech stack
What we build with
Models
ClaudeOpenAIGeminiLLaMAMistral
Stack
AWSAzureOpenAIClaudeLangfuse
How to start
Start small, with a clear decision point
Most AI work starts with a workshop or a 4-6 week pilot.
FAQ
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
Using smaller models for simple steps, caching repeated requests and trimming prompts, measured before and after.
Next step
Ready to talk about Cloud & AI Cost Optimization (FinOps)?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one