Identify the full cost base
Bring together GL, cloud, contracts, invoices, labor, project, and usage data.
AI Economics
Turn AI spend into measurable business value
See every dollar. Control every investment.
Yarken connects AI Usage, Spend and Ownership to Business Value. One financial model, so every AI dollar can be allocated, governed, and tied to a business outcome.
1
Total AI costToken, licences, labor and cloud costs
2
Clear ownershipVendors, apps, initiatives, teams and services
3
AI unit economicsCost per request, seat, workload, and outcome
4
Governed actionsForecast, allocate, explain, and optimize
AI capitalization
Traceable AI capital decisions
AI development costs sit across cloud services, model APIs, software, internal labor, contractors, data, and specialist vendors. Yarken brings those costs into one governed model and connects them to the products, initiatives, owners, and development stages that created them.
Connect cost to accountable work
Allocate spend to products, initiatives, teams, applications, and business units.
Create decision-ready evidence
Maintain a consistent financial record that supports capitalization assessment, governance, forecasting, and audit preparation.
Ask Yarken
Which AI issue is your team facing?
Ask the question behind the dashboard. Yarken applies your financial model, business context, and operating rules to explain what changed, why it changed, and what should happen next.
Talk to an expertYarken
01
Compute
Bedrock, Azure OpenAI, Vertex AI, GPUs, and specialist infrastructure.
02
Tokens
OpenAI, Anthropic, Google, Cohere, and other model providers.
03
Licenses
Copilot, Agentforce, Now Assist, Cursor, and AI-enabled SaaS.
04
Labor data
Internal teams, contractors, labeling, training, and operations.
05
Vendors
Consulting, existing SaaS licences, AI data licences and specialist AI tools.
The problem
Tokenomics and cloud bills are only the start
Cloud shows one slice. The full cost of AI now sits across five disconnected categories, owned by different teams and measured in different ways.
Cloud bills show one. Yarken brings all five together.
Governed AI Economics
One connected model for usage, spend, and value
Bring fragmented AI Economics into one governed system to understand AI Spend versus Business Value.
AI Cost
Build a fully loaded view across compute, tokens, licenses, contracts, labor, and data.
AI Usage
Understand adoption and consumption across models, workloads, teams, seats, calls, and GPU hours.
Business Value
Connect AI investment to productivity, revenue, efficiency, quality, and business outcomes.
Decision-ready AI unit economics
AI Total Cost
$4.14M
↑ 12.8%vs last month
Shadow AI Cost
$342K
↑ 7.1%vs last month
Capitalization Rate
26%
↑ 4 ptsvs last month
Qualifying Cap Amount
$1.08M
↑ 18.3%vs last month
Variable AI Spend
$2.76M
↑ 21.4%vs prior year
End of Year Projected
$49.7M
↑ 16.2%vs prior year
How it works
From scattered inputs to Governed AI Economics
Bring fragmented AI Economics into one governed system to understand AI Spend versus Business Value
01
Connect
Bring together cloud cost, APIs, SaaS, contracts, GL, labor, invoices, and usage data.
02
Model
Normalize spend into a governed TBM and FinOps-aligned model.
03
Allocate
Assign cost to apps, services, teams, initiatives, and business units.
04
Control
Track budget forecasts, variances, showback, cross-charges and unit economics.
From disconnected AI spend to governed financial clarity.
Ingest, normalize, allocate, explain, act
Platform capabilities
Six capabilities. One system
Move from fragmented cost visibility to governed AI economics across leadership, finance, engineering, and FinOps teams.
Adoption + governance
See ownership, classification, concentration, production status, and activity outside approved channels.
AI-powered allocation
Use explainable suggestions and governed rules to map fragmented spend to accountable owners and outcomes.
Squad-level intelligence
Understand cost by squad, member, model, environment, technology tower, and use case.
Agentic automation
Build governed specialist agents and playbooks that assist execution while keeping people in control.
Ask Yarken
Ask questions in natural language and receive a structured observation, root cause, and recommendation.
Executive overview
Track AI spend against budget, project year-end run rate, and connect investment to realized business value.
Governance outcomes
The AI Economics questions facing every organization
Yarken connects spend to ownership, ownership to business context, and business context to action.
What are we spending on AI?
Who owns it, and where?
What value is it creating?
What should we do next?
Trusted by enterprises. Built for Finance
Yarken is live with enterprise technology teams governing complex spend across cloud, SaaS, infrastructure, labor, applications, and AI.
Enterprise-grade trust
SOC 2 compliant, FinOps Certified, aligned with the TBM Council, a member of Tokenomics Foundation, and recognized by Gartner as an established ITFM vendor.
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One platform. Proven foundation
Yarken combines cost intelligence, planning, contracts, application TCO, showback, chargeback, FinOps, and AI Economics in one governed platform.
Talk to Yarken
Get clarity on your AI spend
If AI costs are growing faster than your ability to explain them, Yarken can help. We connect AI usage, spend, ownership, and value in one governed financial model.
Understand fully loaded AI cost across cloud, tokens, licenses, labor, and vendors.
Assign spend to accountable teams, initiatives, applications, and business units.
Build the financial context needed to govern investment and prove value.
Request an AI Economics review
Tell us what you are trying to understand. We will follow up with the right Yarken specialist.