Yarken AI Economics
See every
AI dollar.
Control every
AI investment.
AI spend is fragmented across six different bills, arriving in different units, on different days. Yarken pulls every dollar into one defensible view, attributed, tracked, and ready for the board.
AI spend — live view
live
Total AI spend
$0.0M
this quarter
Sources unified
0
bills reconciled
Unattributed
0%
↓ from 41%
Spend by source
AWS SageMaker
$0k
Azure OpenAI
$0k
GCP Vertex
$0k
Anthropic API
$0k
SaaS AI tools
$0k
Board-ready
Attributed to cost centre
TBM + FinOps
Unified in one view
Your AI bill isn't one bill. It's six.
Finance can answer about 20% of the “what did we spend on AI?” question today. The rest is buried across vendor portals, SaaS suites, expense reports, and a stack of PDF invoices no one has reconciled.
Cloud AI services
AWS Bedrock, Azure OpenAI, GCP Vertex — fastest-growing line on the CUR
Direct LLM APIs
OpenAI, Anthropic, Google — token-metered invoices arriving mid-month
SaaS-embedded AI
Copilot, Agentforce, Now Assist — hidden inside seat contracts at renewal
Agentic tools
Cursor, GitHub Copilot, Glean — often below procurement review threshold
On-prem GPU
Depreciation across five GL accounts — the largest undercounted line in AI
Shadow AI
P-card spend, personal subscriptions expensed as “software” — often 8–22% of total
20%
That’s how much of the AI spend question finance can answer today. The other 80% sits across vendor portals, SaaS licence registries, scheduler logs, and employee expense reports. None of it rolls up to a number anyone can defend in a board meeting.
From bill chaos to board-ready numbers
AI Economics is a module inside the Yarken TBM/FinOps platform. Four use cases drive the most value.
01 – Start here
One number for all AI spend
Every AI dollar — cloud, APIs, SaaS add-ons, shadow AI — consolidated into one defensible view, attributed to business units through the same TBM taxonomy your chargeback already runs on.
Time to first number: ~3 weeks
02 – Urgency driver
Renewal-trap detection
Salesforce, ServiceNow, and Microsoft are rewriting their order forms. When the Agentforce envelope lands, your procurement team needs your consumption baseline — not the vendor’s.
For teams with renewals in 90 days
03 – Expansion driver
AI initiative business-case tracking
Every AI initiative carries a projected cost and a projected outcome. Six months in, neither gets tracked. AI Economics puts the business case and the actual spend on the same screen.
For teams defending AI investment
04 – Durability driver
Per-business-unit allocation
When marketing asks for its share of the AI bill, you need a number engineering will sign off on. The same Solution Offering taxonomy that runs your existing chargeback now covers AI.
For TBM-mature teams doing chargeback
Live in three weeks
AI Economics sits inside your existing Yarken platform — not a new tool. Three steps from contract to first defensible number.
Step 01
Days 1–5
Connect your sources
Cloud FOCUS exports, AI vendor invoices, OpenAI and Anthropic Admin APIs, licence registries, GL via your existing TBM connectors. Bring your own observability or we’ll set one up.
Connects to
AWS Bedrock
Azure OpenAI
OpenAI API
Anthropic API
Vendor invoices
GL connectors
Step 02
Days 5–12
Attribute to your taxonomy
Every dollar attaches to a Solution Offering, Service, and Application — the same rollup your existing chargeback runs on. AI Economics closes the gap, it doesn’t create a new one.
Attribution hierarchy
Solution offering
→
Customer AI platform
Service
→
Support automation
Application
→
Tier-1 deflection agent
Business unit
→
Customer operations
Step 03
Day 15 onward
Detect and act daily
Daily anomaly detection catches retry storms, token-burn breaches, and vendor price changes before month-end close. Monthly AI initiative reviews give the board one defensible number.
Daily signals
Token-burn breach — Bedrock spend 3.8× weekly avg
Vendor price change — Anthropic rate updated, forecast adjusted
Seat creep detected — Copilot Studio overages, 14 seats
“The thing that keeps me up at night is just how fragmented and complex those commercial models are going to get — and our ability to have the same level of oversight we’ve had with seat-based licensing.”
Head of IT Finance, global enterprise