Explain with AI now reaches Schedules, Reservations, Budgets and Anomalies. A new Reservation Advisor and Budget Advisor turn raw data into guidance, and one-click Az CLI scripts take you straight from recommendation to remediation.
See whether your schedules are really paying off
One click turns any schedule into plain English – recurrence, up and down hours, and the resources in scope – then shows projected versus actual realised savings side by side. For unscheduled resources, it evaluates the last 14 days of usage and returns a projected saving with a confidence rating.
FinOps teams prove schedule ROI without reading configs, and spot strong candidates for scheduling before setting anything up.
Commit, renew, or hold – with the numbers in front of you
A new AI agent reads a purchased reservation and lays out everything in one panel – whether the workload is already covered, renewal guidance before the term expires, a utilisation breakdown, break-even analysis, and 1Y versus 3Y cost impact. A coverage check maps the exact reservation each resource draws from.
No double-buying and no guesswork on whether existing commitments still deliver.
Budgets that match how you actually spend
Explain with AI on a group budget generates a Budget Insights report that reads your recent spend trend against the budget line, checks threshold health for missing early-warning sub-thresholds, and recommends a concrete budget value that fits how you actually spend.
Budgets stay realistic instead of drifting out of date, and owners get a clear, defensible number to set.
Know which alerts deserve your attention
Generate AI insights on detected anomalies straight from the Automatic anomaly detection widget. See daily cost across the last 30 days with every alert marked, plus a read on whether spend is consistent or volatile – average daily spend, typical daily movement, and how many anomalies fired.
Tune sensitivity with evidence, cut alert fatigue, and triage the alerts that actually matter.
From recommendation to remediation in one click
For Other recommendations like savings opportunities and empty containers, Turbo360 now generates a ready-to-run Bash script – grouped by subscription, with the exact commands to remove idle resources. Review it, copy it, and run it in Azure Cloud Shell.
Closes the gap between finding waste and removing it. No hand-writing CLI, no context-switching.
Scale Azure Bastion units up or down outside business hours to cut idle spend on a resource that previously ran flat out around the clock.
Get alerted when a schedule stays disabled longer than a set number of days, so an accidentally turned-off schedule is caught before it silently erodes savings.
Get alerted when a schedule’s actual spend overshoots its pre-schedule baseline, catching savings erosion before the billing cycle closes.
Group analysis views into named containers by team, project, or use case – set a default collection and switch between them in a click.
A redesigned Add and Edit configuration experience – seven guided steps from Basics to Review – makes creating and managing document configurations far easier.
The start/stop VM workflow adds a Power on/off schedule trigger that handles both shutdown and restart automatically, alongside the existing metric-based trigger.
Cost groups now support multiple named dashboards, with the ability to create additional views and set any one as the group’s default.
A per-resource Monitor toggle on any mapped profile gives finer control over exactly which resources are evaluated under a given monitoring profile.
Custom BAM roles now include Business process and Business process group permissions, managed independently of system-defined roles.
Anomaly detection can now alert only on anomalies the AI classifies as true, cutting noise from borderline fluctuations the algorithm flags but AI rates low-confidence.
Have peace of mind that your company's data is fully secure and compliant with the latest industry standard certifications.