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FinOps Foundation
TBM Council
AI spend broke the old model.
TBM moves once a year. FinOps moves once a month. AI spend moves every time someone sends a prompt.
Blind spots in AI spend
Model, token and copilot costs land outside your TBM taxonomy and your FinOps tags.
Two truths, one board
TBM says one number. FinOps says another. Finance spends the week reconciling.
Shared costs nobody trusts
Allocation rules live in spreadsheets, so showback turns into a debate.
Dashboards without answers
You can see the spike. You can't see why, or what to do next.
AI costs that don't add up
Copilot usage lands in US dollars. The invoice lands as one line from your reseller. Nobody can match the two.
One model. Every dollar. Every token.
Yarken connects cloud, SaaS, infrastructure, AI and finance data into a single cost model. TBM and FinOps share one source of truth. AI spend gets the same rigor as everything else.
See every cost, in one place
Cloud bills, SaaS contracts, data center TCO and LLM usage, mapped to one TBM taxonomy. No tagging marathon first.
Understand what it paid for
Unit economics by product, team and customer. Shared costs allocated by rules Finance signs off.
Know what to do next
Agents flag anomalies, model forecasts and draft the board narrative. Your team approves.
Built for the spend you have now.
One platform. Four teams. Same numbers.
Answer the board's AI question.
Know what AI is costing you
Total AI spend across models, copilots and vendors, in one view.
Know what it's returning
Tie investment to products, revenue and productivity.
Fund what works
Shift budget to the use cases that pay back.
Decide with one number
IT, Finance and Engineering stop arguing about the data.
Close the books on IT, including AI.
Every dollar allocated
A bill of IT that includes tokens, not just servers.
Showback and chargeback people accept
Rules you set, traced to source.
Forecasts that hold
Usage-based AI spend modeled alongside committed contracts.
Retire the spreadsheet
One governed source of truth, with a full audit trail.
FinOps that reaches the general ledger.
True unit economics
Cost per customer, per feature, per token.
Shared costs, made fair
Allocate platform and AI costs without the tagging fight.
Anomalies caught early
Agents flag spend spikes and explain the cause.
Optimization tied to outcomes
Show savings in the language Finance reports.
Ship fast. Know what it costs.
Cost by app and architecture
See the price of every design choice, including model choice.
Pick the right model
Compare cost per task across LLMs before you scale.
No surprises at month end
Forecast spend from usage, not guesswork.
Speak Finance's language
Same model, same numbers, fewer meetings.
Spotting a 2x jump in LLM spend.
A global consumer app company had AI spend scattered across LLM APIs, coding tools and assistant seats. Yarken pulled token feeds and ledger data into one model and mapped every cost to the squad and feature it serves. Now product and Finance see what each AI feature costs, and catch jumps like one provider's bill doubling in a month.
Clear answers.
Is Yarken a FinOps tool or a TBM platform?
Both. Yarken unifies TBM and FinOps in one data model, so cloud, SaaS, infrastructure and AI costs share one taxonomy.
How does Yarken track AI and LLM costs?
AI Economics captures token and model usage from providers and cloud platforms, then allocates it to teams, products and use cases.
Can Finance trust AI-generated insights?
Yes. Yarken's agents are deterministic. Every figure traces to source data and returns the same answer for the same input.
What is AI Studio?
Yarken's agentic layer. Agents and Yarken Builder copilots detect anomalies, build forecasts and draft narratives, with humans approving every action.
Does Yarken replace our existing tools?
No. It connects to your cloud, SaaS, ERP and ITSM systems and acts as the decision layer on top.
How is Yarken different from legacy TBM platforms?
Legacy platforms run TBM and cloud FinOps as separate products, with AI added on later. Yarken runs all three in one model.
How is Yarken different from cloud cost management tools?
Cloud cost tools serve engineering teams on cloud and AI cost. Yarken adds the TBM taxonomy and Finance-grade allocation, so engineering and Finance use the same numbers.
How fast can we see value?
Most teams get their first governed view of IT spend within weeks.
What else does Yarken offer?
Yarken runs on three products that share one model: AI Economics, FinOps and TBM. AI Studio adds agents and Yarken Builder copilots on top. Start with one, add the rest when you're ready. Read more here
