Get your AI & Cloud Costs under control today.

What the hour actually contains

Five things, in this order

It is one hour, so it is structured. We are not going to spend it establishing rapport.

1. We capture the AI workload that is actually hurting

   Not your whole estate. The one thing: the agent that tripled last month, the RAG bot nobody can price, the Bedrock bill that came in at twice the estimate, the GPU cluster that never scales to zero.

   • What it does, how it is called, and roughly how often
   • Which models, which cloud, which gateway (if any)
   • What you already tried, and why it did not hold

2. We show you where MCP plugs into what you already run

   The 116 AI Cost decision engines are callable from Claude, ChatGPT or Cursor, or from your CI. Nothing to deploy, no cloud credentials, no data pipeline. We map them onto the three things you actually need:

   • See it - where the money goes, by team, feature and customer
   • Cut it - routing, caching, batching, agent loops, from tokens to RAG
   • Plan and forecast it - TCO and ROI before you build, caps that hold after
3. Free

   We name the calculators that solve your case, and the order to run them

   There are 96 of them and that is genuinely too many to browse. The value here is the chain: which three or four, in which sequence, feeding which number into the next.

   • An agent problem is usually agent-loop-cost → retry-cost → agentic-envelope
   • A RAG bill is usually chunking-optimizer → embedding-cost → vector-db-cost → rag-pipeline
   • A "which model" argument is usually multi-model-router with a quality floor, then prompt-cache-roi
4. Cloud + tooling

   We look at the bill underneath the model bill

   Your model spend is rarely the whole story. The cloud beneath it - GPUs, Kubernetes, vector stores, egress, the observability you turned all the way up - is usually bigger.

   • CostOptimization.ai - 37 cloud cost categories, each with its modeled range, the specific spend it applies to, and the provider action
   • Its vendor-neutral tools catalog - we do not sell any of them, so the recommendation is just a recommendation
   • ToolsInfo.com for the wider category, including open source, when buying is not the answer

5. You leave with a way forward to bring your AI costs under control and develop AI with confidence

   Written down, in your inbox, the same day. Which lever first, what it is worth, what it costs to do, and who has to do it.

   • Do it yourself - the calculators are free and the plan is yours. This is what most people do.
   • Do it with us - if it is bigger than an hour, we will say so and quote it. If it is not, we will say that too.