AI Features Overview#

Reply CMP includes an AI layer that turns cloud data into answers, insights, and recommendations — without requiring you to write queries, export spreadsheets, or read native cloud advisor portals.

Six AI capabilities are available across the platform:

The Six Capabilities#

CMP Agent

A conversational assistant embedded in the platform. Ask questions about your cloud resources, costs, and recommendations in plain English. Request on-demand HTML reports.

Example questions:

  • “Which connections are spending the most on compute this month?”

  • “Generate a cloud cost report for last quarter”

  • “How many untagged Azure resources do I have?”

📊 AI Savings Estimation

AI-enhanced cost savings estimates on cloud provider recommendations. Goes beyond native recommendation tools by computing realistic monthly savings estimates with confidence ratings, capped to actual resource costs.

📈 30-Day Cost Forecasting

An adaptive model forecasts each resource’s spend over the next 30 days. The model updates continuously as new billing data arrives — no manual retraining or configuration required.

📧 AI-Powered Reports

Design scheduled cloud cost reports through a natural-language conversation. The AI fetches real tenant data, generates a live HTML preview, and delivers polished emails to your stakeholders on a weekly, monthly, or quarterly schedule.

🔍 AI Plan Summaries

When you provision or modify infrastructure via the catalog, the AI summarises what the Terraform plan will do — and explains what went wrong if it fails — in plain language.

↩️ Rollback Suggestions

When a resource changes unexpectedly (detected in change history), the AI suggests what CLI commands or Terraform imports you would need to restore the previous configuration.

Data Privacy#

Important

What data does the AI see?

The Reply CMP AI components access the following data:

  • Resource metadata (names, types, regions, tags) from your discovery inventory

  • Cost and billing data from your cloud connections

  • Allocation group structure (names and hierarchy)

  • Recommendation data from cloud provider advisors

The AI components do not access:

  • Raw application data inside your cloud resources (databases, blob contents, etc.)

  • Secrets or credentials stored in Azure Key Vault

  • Personal user data beyond display names used for attribution

All AI processing uses Azure OpenAI in your tenant region. Data does not leave your Azure tenant boundary.

Capability Limitations#

Capability

Limitation

CMP Agent

Operates on data up to T-1 (yesterday). Real-time data is not available.

CMP Agent

Cannot modify resources (except triggering a Discovery sync, which requires confirmation).

Savings Estimation

Estimates are directional. Low-confidence estimates have no cost history to base on.

Cost Forecasting

Point estimates only (no confidence interval). Accuracy is lower for highly volatile resources. Requires 7 days of history to activate.

AI Reports

Report design sessions expire after 30 minutes. The AI uses yesterday’s data for previews.

Plan Summaries

AI may simplify complex Terraform plans. Always review the raw output.

Rollback Suggestions

Suggestions are advisory only. Apply with caution in production.

Next Steps#

Use the CMP Agent

Chat with your cloud data in natural language.

Understand Savings Estimates

Learn how confidence ratings and caps work.

Cost Forecasting

How the adaptive online model works and how to read forecasts.

AI-Powered Reports

Design and schedule reports through a conversational AI session.

Contextual AI Features

Plan summaries and rollback suggestions in context.