AI Advisor

The AI Advisor turns your savings recommendations into plain-language guidance — helping you understand why an opportunity exists and which ones are worth acting on first, without reading every row yourself. The recommendations themselves come from CloudQuell’s rule-based savings engine; the AI Advisor is the natural-language layer on top that explains and prioritizes them — it doesn’t generate the recommendations.

What it does

Instead of scanning the full recommendation list, you can ask the AI Advisor to interpret it for you. It draws on the same savings data — action types, current and estimated cost, effort, and confidence — and helps you:

• Interpret a recommendation — explain what a rightsizing, idle, or commitment-purchase suggestion means and what the trade-offs are.
• Prioritize — rank opportunities by impact against effort so you tackle the high-value, low-risk wins first.
• Summarize — get a short read of where your biggest savings sit across accounts and services.

It works alongside CloudQuell’s broader AI explanations. See AI Explain & AI Summary for the LLM-powered explanations available across cost, anomaly, and savings views.

Example questions

• “Which three savings opportunities should we act on this quarter, and why?”
• “Explain this rightsizing recommendation — what’s the risk if we apply it?”
• “Group our open savings by service and tell me where the biggest wins are.”

Limits

• The AI Advisor advises; it doesn’t make changes. To act on a recommendation, use the recommendation workflow.
• Its guidance is best-effort: it runs on an external language-model provider and can occasionally be unavailable or slow. The recommendation list, savings totals, and workflow all keep working without it.
• Its guidance is only as current as your ingested cost data, and only AWS is live today; other providers are in development.
• Treat its prioritization as a starting point — validate high-impact or low-confidence recommendations before acting.

Paid AI feature

The AI Advisor, like the other LLM-powered AI features, is available on paid plans. Free plans see a KPI peek of the savings totals without the AI guidance. See Plans & billing.

You can also reach the same savings data through an AI agent connected to the CloudQuell MCP server and ask it to interpret and rank opportunities in your own client.