Cloud infrastructure scales in milliseconds. Traditional FinOps still operates in monthly cycles. That gap is where 20% of your budget quietly disappears—hidden in idle resources, silent anomalies, and complex contracts renewed without the data to challenge them.
Airo deploys AI-led financial control across AWS, Azure, GCP, Kubernetes, and Hybrid environments. While other AI tools show you what you’ve already lost, Airo’s AI Agents are actively identifying waste, predicting future demand, and executing optimizations in real-time.
You’ve had visibility for years. What you’ve been missing is action.
A single, consistent picture of spend and usage across AWS, Azure, GCP, Kubernetes, and Hybrid — covering IaaS, PaaS, and containers simultaneously. No more reconciling fragmented reports across platforms. No more finance, engineering, and leadership working from different versions of the truth.
Airo's machine learning models identify cost anomalies the moment they emerge — not weeks later when the damage is already done. Usage patterns analyzed continuously so you know where spend is heading before it becomes a problem, and optimizations triggered before the overrun hits.
Generic rightsizing recommendations fail because they treat every environment the same. Airo's recommendations are tied to how your workloads actually behave — factoring in architectural context, workload patterns, and business intent so every action is grounded in reality, not assumptions.
High-impact optimization opportunities surfaced, prioritized by financial impact, and actioned continuously — without waiting for a review cycle to trigger them. Airo doesn't surface a list of recommendations for someone to investigate. It acts.
Chargeback and Showback models that give engineering, finance, and business leaders a single trusted view of cloud consumption and ownership — tracked against KPIs tied to real business outcomes, not just infrastructure metrics. Every dollar mapped to a team, product, or business unit.
Cloud contracts renewed without utilization data are a disadvantage. Airo PACT (Pricing and Agreement Control Tower) brings together usage vs. committed capacity, licensing efficiency, and cross-cloud cost trade-offs. Every renewal becomes a deliberate, data-backed financial decision, not a procurement default.
Continuously aggregates IaaS, PaaS, multi-cloud data into unified Chargeback/ Showback dashboards. No manual pulls.
ML anomaly detection and predictive spend alerts in real-time. Catches budget overruns before they happen.
Autonomously optimizes licenses, RIs, and infrastructure to actual demand. No human-in-the-loop.
Enforces tagging policies, budget guardrails, and compliance rules 24/7 across all cloud accounts.
Black Friday spikes cloud spend 300% in 72 hours. Most FinOps tools either over-provision all year or under-provision at the worst possible moment.
On-premise costs in one system. Public cloud spend in another. No way to connect infrastructure investment to production output or business value.
Cloud commitments renewing on autopilot. Shadow IT accumulating across business units. No unified view across AWS and Azure that finance, technology, and risk teams can trust.
Immediate savings via AI-led licensing, FinOps, and Reserved Instance optimization
Redirected from cloud overspend into AI development and modernization
Elimination of manual cross-cloud reporting — replaced with real-time autonomous visibility
Improvement in resource utilization — infrastructure costs aligned to actual business demand
