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ArthaShield AI FinOps

💰 AI Spend Overview

Track token consumption, compute spend, and efficiency across all AI models. Make data-driven decisions and reduce waste.

Total Tokens Used

1.2M

Estimated Spend

$42,300

Active Models

12

🖥️ Token Usage by Model

Updated 30m ago

Credit Scoring Engine

Tokens Used: 350k • Cost: $12,400 • Efficiency: 87%

Loan Eligibility Classifier

Tokens Used: 220k • Cost: $7,600 • Efficiency: 91%

Fraud Detection Model

Tokens Used: 180k • Cost: $6,200 • Efficiency: 88%

📊 Cost Allocation by Team

Updated 1h ago

Credit Risk Team

$18,400

Fraud Ops Team

$12,800

Loan Approval Team

$11,100

⚡ Model Efficiency & Optimization

🛡️ Compliance & Risk

High Risk Models

2

Models Within Compliance

10

🤖 AI FinOps Copilot

Ask: “Show top cost-driving models” or “Generate monthly token spend report.”

🤖 AI FinOps Copilot

User: Show top cost-driving models.
Copilot: Credit Scoring Engine: $12,400, Fraud Detection: $6,200, Loan Eligibility: $7,600.