Azure’s flexibility and scalability set the stage for ambitious AI projects. But there’s a side of the story many overlook: the responsibility for making those workloads efficient on both the performance and the cost side rests with you. Microsoft provides the infrastructure, but it’s on your team to deliver consistent results, manage resources smartly, and avoid budget overruns.
If you’re tracking AI performance and spend manually, you already know the pain points:
- Hours lost reconciling GPU/CPU usage across scattered models
- The risk of performance drift sneaking up on production workloads
- Cost spikes without clear root cause
- Limited visibility tying resource consumption back to actual business projects
This is exactly the challenge Idenxt was built to solve
With Idenxt, you get a unified platform built for real-world Azure AI management. One place to monitor your models, track resource usage, and keep costs predictable. It’s agent-level visibility with actionable insights delivered in plain language, not dashboards that require more training.
Here’s how Idenxt puts you in the driver’s seat:
- Performance Drift Identified Instantly: Get proactive alerts on model anomalies before they impact your users.
- Resource Waste Exposed and Actioned: See exactly where compute is being wasted—and fix it, fast.
- Costs – Transparent and Accountable: Understand and allocate Azure spend for every project, model, or team, so budgets stay under your control.
Teams using Idenxt typically cut their Azure AI costs by 20–30% but the real win is the shift from reactive firefighting to proactive optimization. You’ll spend less time decoding metrics and more time delivering value from your AI investments.
Ready to take control?
Let’s set up a personalized demo and walk through exactly where Idenxt can make an immediate impact for your business. Reply right here or visit our site to get started. You run the workloads. We help you run them right.
