Solutions · Cost Visibility and Control
Know where every dollar goes. Decide what happens next.
Organizations rarely overspend because they lack pricing information. They overspend because they lack context. OpsCanvas connects cost to topology, ownership, and change, so cost work becomes operational decisions instead of spreadsheet archaeology.
The Problem
The problem is context, not data.
You know what you spend. Billing consoles, FinOps platforms, and consultants are all good at producing cost findings. What nobody provides is the context to act on them.
Who owns this?
The bill says what a resource costs. It does not say which team owns it, which application depends on it, or who should decide its fate. Tags were supposed to answer this. They rarely do.
Is it safe to touch?
A recommendation generated from billing data alone is a guess about safety. The idle-looking database that a batch job hits monthly is not idle. Nobody wants to be the engineer who finds that out in production.
Findings pile up, un-actioned
Validating each finding by hand takes engineering weeks. That triage work is exactly where cost initiatives stall, and every recommendation that turns out to be unsafe poisons trust in all the rest.
Savings stay theoretical
Reported savings are calculated from list prices, not from the effort, dependencies, and blast radius involved in capturing them. The gap between identified and captured is where the value leaks out.
Our Lane
OpsCanvas does not replace your billing system or your FinOps platform. It is the context and verification layer over cost findings, including findings other tools produced, so cost data becomes decisions you can act on safely.
The Journeys
What do you want to accomplish?
Cost work is not one project. It is a set of journeys: each with a real trigger, evidence from your environment, and a measurable outcome. Start with the one that matches your moment.
Eliminate Idle & Zombie WasteAssessment available
We're paying for things nobody remembers creating.
1 · Find
Find Cloud Waste
Idle, orphaned, and oversized, found from the graph, not the tags.
2 · Investigate
Investigate Waste Findings
Is this safe to remove? Works on our findings and the ones your FinOps tool can't contextualize.
3 · Prioritize
Prioritize Waste Removal
ROI-ranked, so the highest-value removals happen first.
Investigate a Cost SpikeJourney page coming
The bill jumped 40% and finance wants an answer today.
Understand Spend by App & TeamJourney page coming
How much are we spending on this application? Which team owns these costs?
Fit a Smaller BudgetJourney page coming
We have to fit a smaller budget next quarter.
Forecast Spend with ConfidenceJourney page coming
Finance asks what next quarter costs and we guess.
The Engine
Correlated visibility: cost connected to everything cost touches.
Every answer on this page depends on the same engine. Oscar discovers your environment from the edge and builds the Cloud Intelligence Graph™: topology, dependencies, ownership, cost, and operational metadata, correlated in one live picture. Cost stops being a column in a spreadsheet and becomes a property of the resources, relationships, and changes it belongs to.
Sample assessment, illustrative data
Cloud Intelligence Graph™Live · Multi-cloud · No tagging required
Oscar
Assessments
Tasks
Questions only correlated visibility can answer.
Any billing tool can tell you what you spent. These are the questions that decide what happens next, and each one needs the whole graph to answer.
- ✓What owns this spend? Ownership traced through pipelines, identity, and IaC signals, not tags.
- ✓Is this safe to remove? Dependencies and change history checked before anyone acts.
- ✓What changed before the spike? Cost deltas correlated against deploys, config changes, and agent activity.
- ✓What does this application really cost? Full attribution across the resources and dependencies it actually uses.
Ways to Start
Three assessments. One graph. Pick the question you need answered.
Each assessment is productized, fast, and evidence-based. Each answers a specific cost question, and each names the journey it begins.
FlagshipExplore the assessment
Cloud Cost Optimization Assessment
Where are we overspending, and what should we do about it? The default entry point. The first run builds the graph every other offering on this page uses, and establishes the Benchmark your monitoring measures against.
Delivers
Waste inventory with evidence across six optimization domains
Prioritized recommendations and proposed remediation tasks
Your Benchmark, the baseline for monitoring and reassessment
Begins the waste journey: Find, Investigate, Prioritize
Bring your findingsBring us your findings
Findings ROI Assessment
You already have the findings. A FinOps platform, a cloud provider tool, or a consultant delivered hundreds of recommendations. We tell you which ones are worth doing, which ones are safe, and in what order.
Delivers
Validated findings inventory: kept, killed, or needs-review, with evidence
ROI-ranked remediation plan: savings vs effort vs blast radius
Proposed tasks, ready to distribute
Cost lens · Migration & ModernizationTalk to us about scoping
Migration Cost Comparison
What will this actually cost to run over there? Decision-grade cost pictures for migration, repatriation, and consolidation decisions: real current-state costs from the graph, not spreadsheet estimates.
Delivers
Current-state cost including the dependency and data-transfer costs spreadsheets miss
Modeled target-state comparison per application or wave
Feeds your migration planning and retire-vs-move decisions
From Findings to Finished
Every assessment ends in tasks, not a PDF.
The deliverable that matters is a plan made of tasks: ordered by ROI and real dependencies, each one carrying its evidence, each one verified when done.
- 1
Findings become recommendations
Every finding lands on the graph with its owner, dependencies, and change history attached, so each recommendation is grounded in how your environment actually behaves, not in billing data alone.
- 2
Recommendations become proposed tasks
Ordered by ROI and real dependencies. Each task carries its evidence with it: what to change, why it is safe, what it depends on, and who should own it.
- 3
Tasks are distributed
To the right people on your team, to a partner team, or to Oscar. Work runs where it should, with the full context attached, instead of dying in a spreadsheet.
- 4
Done is verified
Completion is checked against the live environment, not against the ticket status. The graph updates as items resolve, so progress is measured, not assumed.
Keep It That Way
The achieved state, kept achieved.
Cost work fails when it is treated as a project with an end date. On the same graph, a point-in-time assessment grows into a continuous practice, and drift becomes new tasks instead of a new project. See how monitoring works →
- 1
Point-in-time assessment
The first run answers your question, builds the graph, and establishes the Benchmark.
- 2
Recurring reassessment
Quarterly or monthly runs measure movement against the Benchmark and surface what changed.
- 3
Continuous monitoring
New waste, spend anomalies, and attribution drift surface as they appear, not at the next review.
- 4
Cost Improvement Program
The standing practice: monitoring, reassessment, and remediation running on the same graph, with drift routed straight back into tasks.
Oscar · Your AI Cloud Engineering Agent
Put Oscar to work on your cloud costs.
Every journey above can start as a conversation. Sometimes the outcome is an answer. Usually it is work, completed.
What are you trying to accomplish today?
Oscar works with approval gates: nothing in your environment changes without you.
Why Teams Trust It
Built for the follow-through, not just the finding.
No billing tool, FinOps platform, or consultant offers the engine, the delivery unit, and the hold together. That combination is what turns identified savings into captured savings.
First environment map in hours
Oscar connects with read-only credentials and builds the graph from your live environment. No tagging project, no data export, no multi-week onboarding.
Findings become approved, tracked actions
Every recommendation arrives as an evidence-carrying proposed task, and every completed task is verified against the live environment.
Read-only by default, approval gates always
Discovery uses approved APIs and existing permissions. Nothing in your environment changes without an explicit human decision on record.
Security and Safety
Safe to put in front of your cloud.
Discovery uses approved APIs, approved connectors, and existing permissions. Assessments are deterministic and approval-gated. No open-ended network scanning, no uncontrolled AI exploration, and humans control the gates that matter.
- Runs locally on your workstation
- Uses your existing credentials, never stores them centrally
- Your AI model, your API key, your account
- Human approval before every action
- Full audit trail with decision traces
- Permission-aware: never proposes beyond your access
Get Started
Start with the question you need answered.
Where are we overspending? Are these findings safe to act on? What will that migration really cost? Each one starts with an assessment on the same graph, and each one ends in tasks, not a report on a shelf.