Token billing, shared GPUs, and inference that never sleeps have made AI the fastest-growing line on the cloud bill — and the least governed. Aura Plus brings the same detect-quantify-recover loop to your AI stack that it brings to AWS, Azure and GCP.
Provisioned resources bill per hour. AI bills per token, per request, per GPU-second — fluctuating with prompt length, model choice and traffic. The tooling most teams bought for cloud cost simply wasn't built for it.
Spend across OpenAI, Anthropic, Bedrock, Azure OpenAI and Vertex mapped back to the product, team or customer that drove it — so the four-figure surprise on next month's bill is owned before the board sees it.
When training, inference and web workloads share the same account, invoices just say "compute." We separate GPU cost by workload so idle clusters and failed training runs stop hiding in the total.
Managed AI endpoints carry SLAs too. When latency or availability misses the contract, our agents detect it, price the credit, and file the claim — the recovery step no other FinOps platform performs.
Every managed AI service with a contractual SLA is a candidate for recovery. Aura Plus watches them the way it watches your clouds.
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