Optimize — Act on Savings Recommendations#

Optimize gives you a prioritised list of savings opportunities across Azure, AWS, and GCP, enriched with AI-generated estimates of realistic monthly savings. Native recommendations from each cloud provider’s advisor service are surfaced here alongside your reservation commitments.

Navigate: left navigation → FinOps → Optimize.

The 4 sub-tabs#

Sub-tab

Purpose

Overview

Summary cards and quick-action shortcuts

Recommendations

Full list of AI-enhanced savings recommendations

Reservations

Reserved instances, Savings Plans, and Committed Use Discounts

Runbooks

(Coming soon)

Overview sub-tab#

Savings Opportunity card#

  • Total estimated monthly savings from all active AI-scored recommendations (in tenant currency)

  • Breakdown by impact level: High / Medium / Low

Note

Savings estimates are pre-computed at recommendation refresh time — viewing this page adds no latency.

Active Reservations card#

  • Total cost of active reservation commitments

  • Breakdown by provider (Azure / AWS / GCP)

Cost Type Breakdown chart#

Pie chart of last 30 days costs split by type: Usage / Reservation / Tax / Discount / Other. Helps quantify how much of your bill is fixed (reservations) vs variable (usage).

Quick actions#

  • Review Recommendations → scrolls to the Recommendations tab

  • Manage Reservations → scrolls to the Reservations tab

  • Automate Shutdown → navigates to Automation → Create Policy

Recommendations sub-tab#

One card per recommendation, grouped by impact tier.

Each recommendation card shows#

  • Provider + cloud connection name

  • Recommendation category (Azure Advisor / AWS Trusted Advisor / GCP Recommender)

  • Affected resources (count and list)

  • AI savings estimate badge: estimated monthly savings + confidence rating (High / Medium / Low)

  • AI-generated plain-language explanation: written for non-technical stakeholders; suitable for sharing with finance teams

  • Source recommendation from the native cloud advisor

AI Savings Estimation — confidence ratings#

Rating

Meaning

When to use for business cases

High

Cost data available for all affected resources

Reliable for ROI calculations

Medium

Cost data available for fewer than 50% of resources

Treat as directional estimate

Low

No cost data available

Directional only; validate with cloud console

Note

Savings estimates are always capped at the actual cost of the affected resources. The AI cannot produce estimates that exceed what the resource actually costs.

Filters#

  • Impact filter: All / High / Medium / Low / None

  • Refresh button: Triggers a new AI estimation pass — recommendations are re-fetched and the AI re-runs the savings estimation agent

Dev/Test savings card#

A separate card shows estimated savings from automating Dev/Test environment shutdown. This calculation is deterministic (not AI): it estimates a 50% reduction on resources in groups tagged as Dev/Test that have automatable resource types.

Tip

Click “Automate Shutdown” on the Overview tab to go directly to creating a Start/Stop policy for your Dev/Test groups.

Reservations sub-tab#

Shows all active reservation commitments across Azure (Reserved Instances), AWS (Reserved Instances + Savings Plans), and GCP (Committed Use Discounts).

Filters: Provider / Status (Ongoing / Settled / Undefined)

Lifecycle stages:

Stage

Meaning

Detection

Reply CMP first identifies the reservation in billing data

Ongoing

The reservation is active and in use

Settled

The reservation term has ended or the commitment is fully expensed

Amortisation: For reservations billed upfront, full charges appear on the billing date in Actual view. In Amortised view, costs are spread evenly over the commitment term.