OpenAI
LLM Cost Management & Token Observability and Optimization
OpenAI API usage from GPT-4o to o1 and o3 generates token-level costs that accumulate rapidly across teams, products, and applications. Without granular visibility and governance, organizations lose control of AI spend before it shows up in a billing statement. AquilaClouds Andromeda™ enables enterprises to monitor, allocate, forecast, and govern OpenAI usage costs with the same rigor applied to cloud infrastructure.
Control OpenAI Costs Across Every Model and Team
What teams can achieve with Andromeda on Open AI
Per-model cost breakdown: GPT-4o, GPT-4 Turbo, o1, o3, DALL-E, Whisper, Embeddings
Token-level usage tracking by user, team, application, and environment
Cost allocation and chargeback across departments and cost centers
Budget thresholds and overage alerts per model and team
Forecasting of OpenAI spend based on usage growth trends
Anomaly detection for token usage spikes and unexpected API calls
Agent Sherlock conversational queries for real-time OpenAI cost intelligence
ROI analysis of token-based projects for managers
Open AI Use Cases & Value
How AquilaClouds Andromeda™ supports Open AI
Full token-level visibility
Organizations using OpenAI at scale often lack the granularity to understand which models, teams, or applications are driving the most cost. Andromeda ingests OpenAI usage data and maps every token to a team, product, or environment – giving FinOps and engineering leaders a complete, real-time picture of AI spend.
Accurate cost allocation
Token usage without allocation is unaccountable spend. Andromeda enables organizations to tag and allocate OpenAI API costs to the correct business unit, product line, or project — supporting chargeback, showback, and FinOps maturity for AI-powered products.
Proactive budget governance
Teams can set user-level, model-level and team-level budget thresholds that trigger automated alerts before overspend occurs. No more end-of-month billing surprises. Finance and engineering teams stay aligned on OpenAI spend in real time.