Your dashboards show what you're spending. Our agents deliver the infrastructure code to fix it. In this live session, watch a Blackbird FinOps agent follow the full analysis path — from monitoring spend, through utilization and configuration review, to identifying oversized resources and misconfigurations — then generate specific, deployable code aligned with your team's priorities. Optimizations ranked by impact and effort, with code ready to review and ship.

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Why you don't want to miss this webinar
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This isn't a product walkthrough or a feature pitch. It's a practical session showing how AI agents fundamentally change the FinOps workflow — from passive reporting to delivering infrastructure code you can deploy. The Blackbird FinOps agent follows the same investigative path a senior cloud engineer would, but faster and at scale:

1. Monitors your cloud spend — The agent continuously watches your cost data across services, regions, and accounts, flagging deviations the moment they appear. Not just "costs went up 30%," but "EC2 spend in eu-west-1 jumped 30% due to 12 new m5.xlarge instances spun up by service X."
2. Analyzes resource utilization — It looks at how your resources are actually being used: CPU, memory, storage, network. Not just what you're paying, but what you're getting for it — like spotting that those new instances are running at 15% CPU.
3. Reviews resource configuration — The agent examines your infrastructure setup — instance types, disk sizes, scaling policies, reserved capacity — and traces issues to specific infrastructure components, configuration files, and resource settings.
4. Identifies inefficiencies and misconfigurations — Is your server oversized for its workload? Is a disk provisioned at 500GB but only using 40GB? Is an autoscaler misconfigured, spinning up instances you don't need? The agent pinpoints exactly what's costing you money and why — prioritized by your team's goals, separating high-impact optimizations you can act on immediately from structural changes that require broader rework.
5. Delivers ready-to-apply code — The agent produces specific infrastructure code changes: "Switch these m5.xlarge instances to m5.large in your Terraform configuration — here's the updated code, estimated savings €4,200/month." Your team can review, test, and deploy — no manual rewriting required.

Live Demo

‍The session includes a hands-on demonstration showing the complete cycle — from raw cost data through spend monitoring, utilization analysis, configuration review, and generated infrastructure code — so you can see the difference between traditional reporting and AI-driven FinOps firsthand.