Eponix — FinOps for AI

Independent, vendor-neutral consulting

We help you track what you're spending on cloud and AI, identify what's wasted, and turn the difference into measurable business value.

Where your AI spend goes (click a platform)
Product AI
Internal AI
Useful spend Low-value / waste

Get a free breakdown of your current cloud & AI spend and clear steps to cut unnecessary overhead.

Get your free assessment See the approach

What we cover

AI spend splits into two very different problems — we work across both, on whatever platforms you're already using.

Team working together
Product AI

AI built into what you sell

AI features you sell to customers, where cost needs to stay in a healthy ratio to the revenue it drives.

AzureAWSGCPSnowflakeDatabricks
Internal AI

AI your teams work with

Internal productivity and engineering tooling — where spend is easy to lose track of across individual users and teams.

ClaudeChatGPTCopilotGeminiCursor
Planning with sticky notes

Before Eponix, and after

Before
  • AI bills rising across Azure, AWS, Claude, and ChatGPT, with no single view of any of it
  • No way to tell which spend is doing real work and which is quietly wasted
  • Finance and engineering arguing over numbers neither side fully trusts
After
  • Clear view of AI spend, by platform, team, and task
  • Waste identified and cut, without touching what's actually working
  • A defensible number for what the investment returned, booked the way finance expects

Our approach

We apply this approach to help you gain visibility of your AI spend and translate it to business value.

Whiteboard planning
01

Observe

We look at what actually changes when AI is introduced, such as time saved, output produced, or errors reduced, compared with how things worked before.

02

Net

We subtract everything it costs to get that result, including the AI spend itself and the time to review or correct its output, so the number reflects the real gain.

03

Convert

We translate that gain into terms the business already uses, such as hours saved, roles freed up, or dollars.

04

Book

We provide a figure to demonstrate business value, as revenue, cost savings, or freed capacity, so it holds up under scrutiny.

What's included

Chart on a screen
Cost attribution
We trace every dollar of AI spend — across every platform you use — to the feature, team, and task it served.
visibility
Financial treatment
Product AI and internal AI get judged differently — growth and margin for one, cost and efficiency for the other. We set that up correctly from the start.
clarity
Outcome measurement
Revenue enabled, cost avoided, capacity freed, or quality improved — whichever outcome actually applies, measured against a real baseline.
defensible
Platform & model recommendations
We identify the most cost-effective platform or model for each task, and help you make the switch.
cuts waste
A defensible dollar figure
A real number your leadership can use to justify continued AI investment, not just a feeling that it's helping.
proves ROI

Start measuring the value of your AI spend, not just the cost.

Get a free breakdown of your current cloud & AI spend and clear steps to cut unnecessary overhead.

Get your free assessment
Handshake after a meeting
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