Built for cloud complexity: AI tool for cost optimization
Cloud spending changes by the hour, across accounts, services, teams, and regions. By the time manual reports are reviewed, the data is already outdated, and cost issues have already escalated.
AI becomes essential when scale, speed, and complexity outgrow human monitoring. CloudSpend's AI continuously watches for inefficiencies, unexpected shifts, and cost risks, providing timely context and guidance so teams can move from reactive firefighting to proactive cost control.
Explore cloud cost insights with AI assistant
CloudSpend’s AI assistant lets you explore cloud cost data in natural language without needing dashboards.
With MCP server support, it connects LLMs and platforms like Claude, Cursor, Windsurf, and Visual Studio Code directly to CloudSpend APIs. This enables instant queries, anomaly checks, spend analysis, and tagging insights through simple conversations.
Ask questions like:
- Why did AWS costs increase this week?
- Which team spent the most last month?
- How much are idle resources costing us?
The AI assistant translates questions into insights, making cloud cost data accessible to finance, engineering, and leadership teams alike.
Native intelligence for every cloud cost decision
Prevent cost surprises with anomaly detection
CloudSpend continuously tracks your cloud costs to identify unexpected spikes, sudden usage changes, or abnormal spending patterns.
The impact:
- Catch cost leaks early
- Avoid surprise bills at the end of the month
- Quickly pinpoint the service, account, or region driving the anomaly
Instead of reacting to overruns, teams can investigate and fix issues in real time with anomaly detection.
Predict cloud costs with intelligent forecasting
CloudSpend uses historical data and current usage trends to forecast future cloud spend with greater accuracy.
Forecasting helps you:
- Predict monthly and quarterly cloud costs
- Set realistic budgets
- Align cloud spending with business growth
Whether usage grows steadily or spikes seasonally, forecasts adapt as your environment changes.
Cut waste with AI-driven recommendations
CloudSpend analyzes historical usage, current trends, and service behavior to generate recommendations that help you optimize cloud spend.
You get:
- Clear visibility into idle and underutilized resources
- Optimization aligned to actual usage
- Reduced cloud waste without performance trade-offs
Each recommendation includes context, estimated savings, and clear reasoning—so teams can act fast and with confidence.
Built for finance, engineering, and leadership
CloudSpend's AI capabilities bridges the gap between technical cloud data and financial decision-making.
Finance teams
Gain clear visibility and predictable cloud costs
Engineering teams
Understand the cost impact of architecture decisions to optimize resources
Leadership
Make informed, strategic decisions with real-time cloud cost insights
