An operating system for cloud spend and AI.
Take control of cloud and AI spend — and keep it under control.

FinOps and cloud cost, AI operations, automation, and the operating cadence to run them — starting with a fixed-scope Diagnostic and growing into fractional advisory.
A prioritized map of every place spend is leaking, with estimated savings ranges and the quick wins your team can action this week.
A unit-economics view of cost per customer, per workload, and per AI call — the number most teams have never actually seen.
The architectural changes worth making, so the savings come from how the system runs — not from a discount that expires.
A 90-day operating plan with named owners and a decision cadence, so cost stays governed after I'm gone.
Two to three weeks. Fixed scope, fixed fee, no open-ended discovery. That's the Cloud Cost & FinOps Diagnostic — and you own the plan at the end of it.
Then, if you want it run: most teams keep me on retainer for cost governance, AI operations, automation, and the reporting cadence that keeps it honest quarter over quarter.
This is engineering work, not a spreadsheet exercise. A dashboard flags idle instances. Procurement negotiates a discount. Neither changes the architecture, the data model, or the workload design actually generating the bill — which is why those savings evaporate within two quarters.
I read your architecture the way the people who built it do, then rebuild the plan around what the system should be. That judgment comes from building these systems at global scale — and you work directly with Thomas. No hand-off, no junior team.
These are symptoms of one root problem: there's no operating system underneath the work. Tools don't fix that. Cadence, ownership, and architecture do.
Straight answer, because it saves us both time. I'm not the hire if you need hands-on engineering capacity — I design and direct the fix, your team or contractors build it. I'm not the hire if you want a large consulting bench; this is one senior operator, deliberately. I'm not the hire for marketing, sales, product, or brand problems. And I'm not the hire if leadership isn't aligned on giving real access to data, systems, and engineering time — without that, any plan I write dies in committee.
What I do
FinOps and cloud cost, AI operations, automation, and the revenue and operating cadence to run them — starting with a fixed-scope Cloud Cost & FinOps Diagnostic and growing into fractional advisory.
Find where cloud spend leaks, quantify it, and put ownership, reporting, and cadence around it — so spend becomes a governed operating number.
Make AI production-ready and cost-controlled: metering, caching, inference-cost management, and kill criteria for pilots that aren't earning their keep.
Replace manual, error-prone operating work with governed, automated pipelines — reporting, data movement, and workflows built as maintainable infrastructure.
Connect go-to-market to the numbers so pipeline, forecasting, and unit economics are trustworthy and decisions move faster.
Metrics architecture, dashboards, and reporting rhythms that give leadership a real-time, trustworthy view of how the business is running.
Ongoing senior operating leadership across FinOps, AI, and revenue operations — the judgment of a full-time exec, without the full-time hire.
25+ years in technology and operations — including executive roles at AWS, Bloomberg, and IBM.
Across nearly three decades, Thomas built and ran the business-operations, FinOps, and analytics functions behind some of the largest technology and financial-data platforms in the world — standing up cost governance, AI-ready data, and the executive operating cadence leadership ran the business on. Aimone Advisory brings that same discipline to growth-stage and enterprise technology teams, at a fraction of the cost of a full-time hire.
FINOPS & CLOUD COST
AI OPERATIONS
AUTOMATION
REVENUE OPERATIONS
OPERATIONAL INTELLIGENCE
FRACTIONAL ADVISORY
