FinOps for Data · Workload Analytics · AI Governance
FinOps stops at the invoice.
I start at the workload.
Agentic AI is generating code, and data, faster than any team can review it, now across millions of applications. Almost nobody is measuring what it costs to run. I help boards and executives see what their technology actually costs, before the hidden bill becomes existential.
The cost of code is invisible. Agentic AI just made that existential.
Most FinOps programs optimize the cloud invoice. The real money lives one layer deeper, in the workloads. The queries. The data pipelines. The schemas. The processes that run all day, every day, for fifteen years after the architect has moved on.
Now AI is writing code at industrial scale, and autonomous agents are deploying it. The business is spinning up new applications and technical processes at roughly four to one against the technology teams meant to support them, and that rate of change is only accelerating. Technical debt is compounding faster than any FinOps dashboard can track. Organizations layering agentic AI on top of unresolved workload debt aren’t innovating. They’re compounding their liability.
Of Agentic AI Projects Stall
A large share are projected to be scrapped before production, most of them launched on top of brittle, unmeasured workloads.
Lives below the invoice
A schema decision compounds
A single design choice in week three of a project stays on the books for the next fifteen years. Most architects never see that bill.
What you see.
The infrastructure bill. The cloud invoice. The line items every FinOps tool already shows you. The visible tip the industry has optimized for a decade.
What you don't.
The queries. The data. The schemas. The processes. The agent-generated code shipping at speed. The 15-year compounding cost decisions nobody sees.
Where the money is.
The position
Not milliseconds, dollars. Not query plans, ROI.
Featured Writing
Forbes.
Forbes
Your Cloud Bill Is Not Your Technology Cost
The cloud-waste story, and the hidden workload cost behind it. For CIOs and CFOs.
Read on Forbes →
Forbes
Five Questions Every Board Should Ask About AI Spending
Practical, executive-level, not technical. For board members and CEOs walking into AI investment decisions.
Read on Forbes →
Forbes
The FInOps Playbook Is Broken. Here's What Replaces It.
Why workload analytics is the next discipline, and what it asks of FinOps practitioners and CTOs.
Read on Forbes →
Speaking
I don't give tech talks. I give CFOs and CIOs a shared language.
Three signature keynotes built for boardrooms, FinOps summits, and executive offsites where business and technology need to leave with the same vocabulary.
Signature Talks · 2026
The Efficiency Era
Context Engineering Is the New FinOps
What Your AI Projects Actually Cost
The Newsletter
The Efficiency Wire.
One sharp insight every other week on enterprise technology cost, AI governance, and what efficiency actually means in 2026. No filler.