Fixed fees · Never hourly · Never a percentage of savings
Get help reviewing your AI costs
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.
How we work
Ways to work together
Start with a conversation, then choose the depth of support your team needs.
Step 0 · Introductory
The AI Bill Teardown
$500 USD fixedFirst three introductory engagements · one-time fee
A human review of one OpenRouter account and one usable export covering up to 31 days. You receive a spend baseline, ranked findings supported by the available evidence, recommended next actions and tests, conditional cost scenarios where supportable, and a 30-minute walkthrough. Delivery is within five business days after both confirmed payment and usable data, with one round of questions submitted within seven days of delivery. We confirm scope, data handling and the delivery date in writing before payment. Your team implements; savings and equivalent model quality are not guaranteed.
Step 1 · The diagnostic
Cloud & AI Cost Diagnostic
$8K–25K fixedScoped to your spend, quoted before we start
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.
Step 2 · Ongoing
Fractional FinOps & AI Cost Lead
$5K–10K/mo
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.
When the renewal comes
Renewal War-Room
$25K–75K fixed
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.
“Firms that get paid from savings are incentivised to find the easy 10% and leave. I charge a fixed fee to find the hard 30% — and to teach your team so it never comes back.”
Fixed fees, in writing, before work starts. Never hourly; never a percentage of savings. Read-only access — I analyse, your team implements, and capability transfer is a deliverable, because a cost function that depends on my continued presence is a failed engagement. Realistic savings identified on an unoptimised account run in the high teens to roughly 30 percent; anyone promising 50%+ up front is selling you a baseline dispute. The full argument is here.
The difference
Why me and not the alternatives
There are four kinds of people who will offer to cut your AI bill. Here's the honest comparison.
- Percentage-of-savings firms
- They are paid per dollar of attributable savings, so they rationally take the easy, machine-measurable wins and leave. I charge a fixed fee to go after the hard 30% — architecture, model right-sizing, the habits that regenerate waste every quarter.
- FinOps analysts who aren't engineers
- They read dashboards and write decks. Most AI waste lives in the architecture — context that grows quadratically, a frontier model doing a classifier's job, a batch that never batches. I ship the queries and the fixes during the engagement.
- Cost tooling vendors
- Software shows you what. Somebody still has to decide so what and drive now what. I don't compete with the dashboards — I'll tell you which one to buy, and then do the judgment layer they can't.
- Your cloud provider's own cost team
- Structurally conflicted: they optimize within their own platform and will never suggest a different model provider. I'm independent — and I know their playbook, because I sat next to the team that runs it.
What to expect
Operating principles
- Fixed fees, in writing, before work starts. Never hourly; never a percentage of savings.
- Read-only access. I analyze; your team implements; capability transfer is a deliverable.
- Honest numbers. Realistic identified savings on an unoptimized mid-market account run high-teens to ~30% — anyone promising 50%+ up front is selling you a baseline dispute.
- Independence. No vendor sponsorships, no referral kickbacks, no reselling. When software fits (automated commitment management, for instance), I'll name the vendors and let them earn it.
- Everything I learn becomes public method. Anonymized patterns feed the writing and tools on this site — you get an advisor whose work is peer-reviewed in public.
Start here
Request a $500 bill review
Founder-led: your first conversation is with me, not a sales team — because I'm the whole firm, on purpose.
Request a $500 bill review ↗Read the fictional sample report and scope, data handling and refund terms before enquiring. We confirm fit and scope in writing before arranging payment.
Fee ranges are standard; your exact fixed quote is confirmed in writing before any engagement. Not financial advice; savings outcomes depend on your environment and your team's execution.