FinOps · Spend, in plain terms

See where
the money goes.

Most cloud spend leaks slowly, in places that are individually boring. Cindy adds them up. Cindy names what is bigger than it needs to be, what has been forgotten, and what could be bought differently, without you having to learn another dashboard. Useful numbers, in plain words.

cindy · counting LIVE
01
Last month's bill is read
every line, every service
READ
02
Baseline traffic recognized
what you actually need
KNOWN
03
Looking for the bored compute
sized for traffic that never came
LOOKING
04
And the forgotten storage
attached to nothing, quietly billed
NOTING
05
A plan, when ready
each step reversible
WAITING

Your cloud bill is paying a tax, in waste, latency, and deferred decisions.

Three FinOps pains, one root cause: insight without action. Reports tell you what to do, but not how to do it, or who is responsible.

Idle
capacity, bought but never used
Right-sizing recommendations sit in dashboards while the meter keeps running. The signal is there; the action is on someone else's backlog.
“We have a capacity report. Acting on it takes another quarter.”
30 days
from cost spike to cost decision
By the time finance flags a spike, it has compounded. By the time engineering investigates, the workload is locked into a quarterly contract.
“The bill arrived. Then the finger-pointing started.”
0
FinOps tools that actually execute
Every dashboard recommends. None of them apply. Right-sizing the estate still means tickets, sprints, and change-windows.
“The report tells me what to do. It doesn't do it.”

A clear answer to "where is the money?"

Cost dashboards tell you what you spent. Cindy tells you what you could stop spending without anyone noticing. Two different questions; Cindy answers the second one.

Bored compute, named

The services running far below capacity for weeks. The expensive ones, the small ones, the ones nobody got around to looking at.

The forgotten corners

Storage attached to nothing. Replicas nobody has spoken to. Addresses reserved years ago. Boring on their own; together, real money.

Things bought retail

The baseline spend that could be on a plan. The savings sit there, quietly. Cindy works out the size of the commitment that fits, the risk if traffic shifts.

Where AI spends money

ML workloads, where most of the cost lives in the least visible places. Where to spot, where to batch, where to size differently.

Variance, when it appears

Spend that suddenly moved. Cindy will tell you why, and whether you want to do anything about it. Sometimes the answer is no.

Plans, not lectures

When Cindy proposes a saving, it comes with a small plan. Reversible. Independently approvable. Each move tells you what it would unwind, before anything happens.

Outcomes a CFO measures

10–25%
cloud spend reduction by day 90
2–5%
margin lift on revenue-bearing workloads
Hours
from recommendation to applied change
Recovered
idle capacity, put back to work
Proprietary analytics. Fine-grained recommendations. One-click execution. The shortest path from cloud bill to cloud action.

"Find me $200k a month." And four moves to get there.

A finance lead asks a real question. Cindy looks in the four places waste tends to hide, draws a short plan, and waits to be told yes. The plan is staged; each step would be reversible if it surprised anyone.

cindy · in conversation LIVE
> find me $200k a month.
[LOOKING] Four places waste usually hides: things bigger than they need to be, things forgotten in corners, things bought retail that should be on a plan, and the expensive thinking.
> what did you find?
Roughly a quarter-million a month, scattered across a few dozen places. [STAGED] Four moves. None touch anything customer-facing. Each one reversible inside the day.
> approve all four.
[APPLIED] All four landed on your approval, no downtime. Applied across the estate through your existing automation. Witness filed; reversible until tonight if anything surprises us.
$247K
Found
4
Moves
0
Downtime
Where the money was hiding
compute bored for weeks · sized for a Tuesday that never came~$48K/mo
a replica nobody has spoken to in eleven days~$22K/mo
storage attached to nothing · last touched a month ago~$14K/mo
baseline spend that should be on a plan~$163K/mo
Sovereignty by design
Our own purpose-built LLM, hosted in your data center.
Your data remains yours
Your spend, capacity, and consumption data never leave your perimeter.
Zero hallucination
Cindy answers operational questions from your own data, grounded in what is real.
Bring your own tools
your existing cost tooling and infra automation stay in place. EveryOps sits on top.

See EveryOps run on your operations.

You just watched the scenario. Book a demo and we will point Cindy at a slice of your real stack. You decide nothing until you have seen exactly what Cindy recommends.

Ask Cindy about your bill.

Point Cindy at a recent invoice. Decide nothing until you've reviewed the plan and the unwind.