I work with companies spending $2M–$50M a year on cloud, and with AI-native teams of any size whose inference bill just became their scariest line item. Every engagement is a fixed fee agreed before we start — here's why.
Bring your last three months of cost data to a screen-share. I'll show you three things you didn't know about your own bill — live. If there's nothing worth fixing, I'll say so and we're done. No deck, no follow-up sequence.
Two to three weeks, read-only access, built on your actual billing data (CUR-level, not dashboard screenshots). You get: every savings opportunity quantified in dollars and ranked; an AI/inference unit-economics baseline (cost per token, per task, per customer); a commitment-strategy review; and a 90-day roadmap your own team can execute. Findings include the ones where the answer is "turn on the free tool" — the fee is for judgment, not gatekeeping.
I run the roadmap with your team: forecast reviews, commitment decisions timed properly, AI spend governance as models and prices shift monthly, vendor and pricing evaluations, and a quarterly review your CFO will actually enjoy. Cancel any month — retention should come from value, not contracts.
Enterprise discount agreements are negotiated by people who do this every week — on the other side of the table. Timed to your renewal window: baseline analysis, commitment sizing, negotiation strategy and support, from someone who spent nine years inside AWS watching how these deals actually get made.
Founder-led: your first conversation is with me, not a sales team — because I'm the whole firm, on purpose.