FinOptik operates at the intersection of AI, cloud economics, and enterprise finance
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When organizations contact us:
"We've had a Lead Director of AI FinOps role open for eight months. Our recruiter now tells us the skillset doesn't exist in one person."
"Our CFO said he needs numbers, not stories. We don't have numbers he'll accept."
"The board is asking what our AI program is actually returning and we don't have a defensible answer."
"We're about to commit $40 million and nobody outside of IT has validated the business case."
"Finance doesn't trust our cloud and AI numbers. That mistrust is now slowing down approvals."
"Our AI spend is growing faster than anyone can explain and there's no accountability model."
"It takes our teams months to justify a new workload. We're losing time we can't get back."
"We've been in diligence on a capacity deal for four months. It's not the technical terms holding it up."
"The operator wants a fifteen-year commitment. We can't forecast our inference demand past next year."
"Our board won't approve a lease this size without knowing what happens if the ramp slips."
If any of these sound familiar, contact sales@finoptik.io.
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What we do
For enterprises
Cloud and AI Business Case. Pre-investment. The POC is done and Finance needs a defensible case before the board approves production spend. Fixed scope, 4 to 6 weeks.
FinOps Strategy for Cloud and AI. Post-commitment. The operating model, governance, tagging, unit economics, and Center of Excellence. Fixed scope, roughly 26 weeks for a working foundation.
Consumption Management for AI and Cloud. Ongoing. Model selection trade-offs, unit economics tracking, commitment optimization, board reporting. Monthly retainer, cancel anytime.
For AI companies signing infrastructure
AI Infrastructure Commitments. Independent underwriting support for multi-year data center, colocation, and GPU capacity agreements. Full-term cost modeling, break-even thresholds, quantified downside, and staged commitment structures with gate criteria. Fixed scope, 4 to 8 weeks.
Why we do it.
The financial framework should be built by someone who speaks both languages.
Companies are making the largest technology commitments in their history. Multi-year AI programs. Fifteen-year capacity agreements. Nine-figure cloud contracts. These decisions get evaluated in two languages at once. Engineering talks in tokens, utilization, and architecture. Finance talks in accruals, variance, coverage, and downside.
Better dashboards don't reconcile that. The data is usually available. The gap isn't informational.
We build the framework both sides can work from, then leave each side able to keep using it. The bigger the commitment, the more it matters.
