Govern AI spend
before it spirals
A dashboard is a receipt — it shows you what you already spent. FinOpsly controls it before the bill: predict the spend in the IDE, gate it in CI, attribute every dollar to an owner, act under policy. Across AI, Cloud & Data.
Trusted by CIOs, Infrastructure, Data & Finance Leaders
One model across the AI and SaaS platforms you already run
of FinOps teams now manage AI spend — up from 31% two years ago. Most of it is still unattributed.
The problem
Your fastest-growing bill is the one nobody owns.
The real cost of an AI app is three bills at once — tokens, compute, and data — all landing on one invoice weeks late, with no owner. One runaway agent, and you’ve got AI Bill Shock. FinOpsly catches it before the commit, not after the invoice.
Tokens & models
Inference, embeddings, fine-tuning, agent calls across OpenAI, Bedrock & Azure OpenAI.
Cloud & GPU
The infra the app runs on — instances, GPUs, Kubernetes, storage, egress.
Warehouse & pipeline
Snowflake, Databricks & BigQuery queries, storage and the pipelines feeding the model.
What the app actually costs
Per app, per team, per customer. The number that decides whether the feature makes money.
AI, Cloud & Data on one control plane.
Not three tools stitched together — one model, one policy set. That's what turns seeing spend into controlling it.
AI
Tokens & models · your fastest-growing line
Product AI
Workforce AI
Attribute token & seat spend to a user, app and customer; alert on runaway usage.
Cloud
Compute & GPU – the bill AI runs on
Providers
What you govern
Cut waste, optimize commitments and right-size — under policy, with rollback. This is the engine behind our savings proof.
Data
Warehouse & pipeline · the hidden third
Platforms
What you govern
Attribute warehouse & query cost to the workload driving it, folded into cost-to-serve. Same policy plane as AI & cloud.
One governed control loop.
FinOpsly plans, explains, acts and proves — continuously, across AI, cloud & data. Every step bounded by Value-Control™.
Plan
"What will this cost before we build it?"
COSTIX estimates cost and builds the solution blueprint before deployment. FI Pulse brings that cost into the IDE shift-left visibility as engineers write, before a dollar is committed.
Explain
"Where is every dollar going?"
Attribute every dollar to an owner, app, customer and request — cost-to-serve across AI, cloud & data. Ask FI, our MCP agent, answers cost questions right inside Microsoft Teams and GitHub Copilot.
Act
"How do we keep it in bounds fast?"
Budgets, caps and guardrails by team, app and environment. Catch wastage and anomalies, and act under policy — always reversible.
Prove
"What did we actually save?"
Track realized savings and ROI, re-baselined over time. Chargeback, budgets and forecasts audit-ready, board-ready.
Every action explainable, policy-bounded and reversible governed by Value-Control™
Catch the cost in the IDE — not on next month's invoice
FinOpsly prices your Terraform plan against live provider rates in the editor, from the CLI as you run it, and as a required check on every pull request. Cost becomes a code-review fact, not a billing surprise.
A live cost lens on every resource
Flip t3.large to m5.metal and the estimate jumps from $65.99/mo to
$7,176/mo — before you run terraform apply.
A budget gate on every pull request
The merge is blocked when the plan's estimated monthly cost breaks the limit — and clears the moment it's back within budget.
Runs as a required status check no green estimate, no merge.
Follow one user, all the way down
FinOpsly threads every dollar from your app down to a single user — tokens, compute and data — then rolls it back up to the customer. No shared bills, no guessing. And Ask FI hands you that answer in plain English, right inside Teams and Copilot.
Every dollar, threaded to one user
Acme Corp is your customer; jdoe is a user there. Here's what it costs you to serve that one user for a month.
Just ask — in Teams or Copilot
Ask FI is an MCP agent. Anyone can pull the same number in plain English, without opening a dashboard.
Two levers on cost: rate and usage
There are only two ways to lower a cloud or data bill: pay a better rate, or run leaner usage. FinOpsly models the rate and pinpoints the waste, then puts each action where it belongs. It builds a purchase plan you execute, raises right-sizing in Jira or ServiceNow, and parks non-prod on a schedule.
Model the coverage before you commit
Scenario-test Savings Plan and Reserved Instance coverage against your usage forecast. Tune the target, read the risk, and export a purchase plan. You buy in your own account.
Find the waste, then right-size or park it
Deep wastage detection surfaces idle and oversized resources with root cause. Schedule-based parking powers down non-prod off-hours and brings it back on time.
Large Healthcare Association Unlocked Rapid Savings Through Automated FinOps
“Within weeks, FinOpsly helped us uncover and execute savings opportunities we had struggled to act on for months. Rate optimization, commitment planning, and copilot-driven rightsizing finally became easy to operationalize”
Director of Cloud Infrastructure,
Large Healthcare Association
What did we actually save?
FinOpsly tracks realized savings re-baselined into your run-rate, charges every dollar back to its owner, and holds budgets against a live forecast. Audit-ready, board-ready.
What actually landed on the bill
Every executed plan and closed ticket, folded into your run-rate and re-baselined. Not projected savings, banked ones.
Numbers your CFO and board can defend
Every dollar charged back to a team, app or customer, and budgets held against a live forecast. Export it audit-ready and board-ready.
Driving value for the whole team
The same AI, cloud and data spend creates different pain by role. FinOpsly gives each team the controls and the proof they need.
Finance leader
in healthcare
AI, cloud and data land on shared bills with no owner. Cost drifts before anyone reconciles.
Chargeback and forecast variance across all three, with every dollar tied to an owner before the invoice.
budget variance · realized savings · forecast accuracy
IT executive
in financial services
Spend sprawls across clouds, warehouses and AI providers, with no single control plane.
One governed plane across AI, cloud and data. Set policy once, apply coverage and consolidation everywhere.
% spend governed · attribution coverage · providers unified
Product + CX
at consumer scale
Features ship fast and burn tokens, compute and data. Cost per feature and customer is a guess.
Cost-to-serve per feature, user and customer, joining tokens, compute and data into one number.
cost-to-serve · cost per feature · unit economics
Engineering + AI
in insurance
Generated code and unbounded jobs spin up expensive infra and queries before review.
Cost in the IDE and CLI, a budget gate on every PR, and anomaly alerts across cloud and data.
cost per workflow · GPU utilization · time-to-detect
From Visibility to Control at Enterprise Scale
Trusted by organizations to connect cloud, data, and AI spend to business value and automate cost control with confidence.
Enterprise-grade by design
Security, access, and auditability are in the foundation — not bolted on.
Role-based access control
Granular permissions by function & scope Finance, Product, Engineering. Least-privilege by default.
SSO / OIDC identity
SAML / OIDC single sign-on with centralized user provisioning and de-provisioning.
Permission-aware AI
Ask FI & agents respect each user's data boundaries no cross-scope data leakage.
Audit-ready history
Every change, approval & automated action is logged, attributable, and reversible.
Data security & isolation
Encryption in transit & at rest, tenant isolation, configurable data-residency controls.
Governed automation
Policy-governed, human-in-the-loop approval and rollback on every agent action.
FinOpsly's advanced artificial intelligence software empowers organizations to calculate and maximize cloud return on investment by driving measurable business value.