Your AI spend jumped 40%.
Which key. Which model. Which release.

Drag, resize, remove, or add back any KPI, chart, or widget. Nothing is a fixed default you’re stuck with. Build your own metric or chart, off any source, when the built-ins don’t cover it. Keep more than one board too: your own layout plus ones shared with the team, each remembered per account. One card stays put across all of them: a budget in trouble, an unexplained spike, or a source that has stopped syncing is collected at the top, where nobody can tidy it out of sight.

Loop your team in without handing everyone the keys. Give each person the access they actually need, and move between every account you belong to without signing in again.

Nobody wants to find out from the invoice. Set a budget and Plutus warns you on its run-rate. Spend spikes get flagged and annotated on your timeline automatically, budget or not, per team as well as account-wide. A spike you already know about can be retired so it stops crying wolf. Turn on confidence scoring and the well-explained, already-seen ones file themselves quietly instead of paging you.

Click any point on the chart — not just a flagged spike — and Plutus works out what moved it, right there. Keep drilling until you find the actual cause, down to the customer or feature driving it, then hand it straight to finance without rebuilding it in a spreadsheet first.

Nobody has the dashboard open when it actually matters. Budget and anomaly alerts land wherever your team already works, formatted natively for each one. Or send a scheduled digest instead: the whole account, or scoped to a single team’s spend so they only get their own.

A message in a channel gets scrolled past. Point Plutus at Jira and a budget breach opens a real ticket in your project; point it at PagerDuty and an anomaly raises a real incident, on the rota that’s already awake. Repeats attach to the one that’s open rather than filing a second copy. When a budget recovers or an account drops back under its usage limit, that ticket or incident closes itself instead of sitting open after the problem is gone.

Map spend to teams and products with rules Plutus evaluates at query time. No source-infra tags to add or maintain. Create a team once and its own cost view, budget, and alerts come with it. Shared spend, like a cluster or a load balancer, splits proportionally across the teams that use it instead of sitting untagged.

Point Claude or any MCP-compatible assistant at your account and ask what changed and why. Read-only by default, with credentials issued separately from ingestion, so a key that can answer questions can never write.

Idle instances, overprovisioned resources, underused Reservations, and what you should commit to next. Surfaced straight from AWS, Azure, and GCP’s own engines, next to the bill they’d shrink. Utilization of what you’ve already bought is tracked across AWS and Azure, and an under-used AWS Reserved Instance, Savings Plan, or Azure Reservation raises its hand 30, 14, 7 and 1 day before it expires, while renewing it is still a decision rather than a discovery. Plutus never asks for write access to your cloud; acting on any of it stays with your team.

One page adds it up: spend under management, anomalies caught before the invoice did, savings opportunities identified. Counted separately: the ones actually confirmed done, only when a provider independently agrees they’re gone. Built from the same numbers as the rest of the app, not a separate estimate.