Who owns your AI costs? Right now, probably no one.
AI workloads draw on cloud services, on-prem infrastructure, and everything between, and in most organizations no single owner sees the whole bill. Visual One Intelligence®, the FinOps Certified Platform from Clear Technologies, gives AI spend the same governance discipline that IT finance teams already trust for the rest of the estate: one cost model, chargeback and showback, and budgets defended with data.
Sound familiar?
Capacity planning is cost management. We have the receipts.
Visual One Intelligence® and Clear Technologies pioneered Capacity Planning as a Service: continuous, analyst-backed capacity analysis that turns infrastructure data into purchase decisions, budget defenses, and reclaimed spend. That discipline is exactly what AI cost governance requires, applied to the infrastructure AI runs on.
The Storage Secret: An Airline Uncovers 730 TB of Hidden Capacity
“Before Visual One Intelligence®, our challenge was the amount of time it took to identify inefficiencies. We simply didn’t have the technology in place to perform this analysis.”
The Warning: Four Hidden Storage Pools Nearly Trigger a Budget Crisis
Capacity planning tools and consulting helped this company look deeper and avoid a problem that would have cost $1 million to address, before it reached the budget.
Reporting Time Cut in Half with Automated Capacity Planning
“Including the efforts needed to maintain our prior tool’s infrastructure, we saved an entire FTE, plus significant cost savings between the tools.”
Four questions every AI governance owner gets asked.
“What does AI actually cost us, all in?”
One cost model across cloud and on-prem. VOI prices on-prem infrastructure fully loaded: acquisition, maintenance, power, floor space, and personnel, with the same rigor as cloud, so the AI number includes the infrastructure AI actually runs on.
“Who should pay for it?”
Chargeback and showback by business unit, owner, or cost center, using one tag model across the whole estate. The teams consuming AI capacity see the bill, and finance sees who owns every dollar.
“Can we defend next year’s AI budget?”
Budget-versus-actual, spend trends, and forecasting across the hybrid environment. Budgets built from measured consumption instead of estimates, with the data behind every number when finance pushes back.
“Is this a tool or an operating model?”
Both. The platform is built and delivered by Clear Technologies, with analysts who stand up the practice alongside your team. And the model keeps extending: a GPU telemetry collector built on NVIDIA DCGM is live today, with GPU cost reporting and AI token usage tracking in development.
AI Cost Governance for the Post-Merger Enterprise
The operating model in full: how ITFM discipline, chargeback, showback, and defensible TCO extend to the infrastructure AI runs on. Three pages.
Put an owner on every AI dollar.
Built for the ITFM, FinOps, and technology leaders accountable for what AI costs and what it returns. Tell us where your estate stands and we will respond within one business day.
Start with a working session.
An analyst walks your environment with you: what AI spend looks like across cloud and on-prem today, where the governance gaps are, and what an operating model would take.
Not ready to talk? Take the self-guided tour or price it yourself.