Upload-driven optimizers for cloud, Microsoft, VMware, and AI commitments, each shipping with sample data. Turn a billing export or a usage file into named accounts to reassign, priced scenarios against real discount bands, and a tracked action plan, with the Microsoft estate staged as a show a CFO can follow in ten minutes.
Everyone knows there is waste in the cloud bill and the E5 estate, but proving it means a modeling exercise most teams never finish. The optimizers take the export you already have and do the modeling, so the savings stop being a suspicion and become a named, priced, trackable plan.
Drop the file you already export; get a plan the team can act on.
An OCI, AWS, Azure, or GCP billing export in; savings by workstream, an executive brief, a full report, and a tracked phased action plan out.
A usage export in; inactive accounts, E1/E3/E5/E7 right-sizing, Copilot sizing, and a per-user reassignment plan out. Name the 180 accounts that should drop from E5 to E3 and what it is worth.
The Microsoft position staged as a show: a spend waterfall with five levers, a price time machine back to 2012, the E5 feature heatmap, Copilot Studio credits math, and an asks sheet. Walk a CFO through it in ten minutes without a deck.
AI commit optimizers for Claude, OpenAI, and Agentforce, a VMware VCF calculator from an RVTools export, and a workload comparator that prices the same inventory on AWS, Azure, GCP, and OCI.
Each optimizer parses the export, right-sizes against real usage and known discount bands, and writes the executive brief and phased plan in analyst voice. The savings are grounded in your file and the platform’s benchmark data, not a vendor’s growth story or a generic percentage.
The optimizers are upload-driven, grounded in real bands, and safe with your data.
Each optimizer ships with sample data, so a buyer can explore the full output and understand the method before uploading a single real file.
Scenarios are costed against known market discount bands, not list price, so the target is what the vendor actually gives, not a sticker figure.
Every run produces both the one-page executive brief and a phased action plan the team can track to completion, so the analysis does not die as a PDF.
The Microsoft estate is staged screen by screen with the live numbers pinned, so the CFO walkthrough runs from the platform itself, no deck rebuilt the night before.
Exports land in private storage behind tenant isolation, checked on type and size, so a billing file with account detail is handled like the sensitive document it is.
Right-sizing an E5 estate or modeling a cloud bill against discount bands is weeks of spreadsheet work that most teams start and never finish. The optimizers take the export and hand back the brief and the plan.
Estimate your own hours →FinOps platforms and vendor tools both miss the buyer-side pricing intelligence that makes the plan defensible.
A cloud-cost dashboard shows you where the money goes. It does not price the same workloads on three other clouds or size the commitment against real discount bands. These do.
The vendor’s own calculator sizes you up. A buyer-side optimizer sizes you to what you actually use, and prices the alternative.
The classic right-sizing engagement is weeks and a bill. Here the model is a re-runnable tool with sample data, and the plan is trackable after the consultant would have gone home.
One line for the board paper, and the day to day the team actually feels.
Cloud, Microsoft, VMware, and AI commitments, all buyer-side.