Solutions — Cost Optimization

Optimize your cloud with confidence.

Oscar identifies every optimization opportunity, maps dependencies and ownership, and shows exactly what can be changed safely, all within the first 24 hours.

<1 hrengineering time to connect your environment
24 hrsto full findings across all six optimization domains
~29%of annual run rate typically identified as recoverable savings
6optimization domains analyzed simultaneously, not sequentially

What the assessment delivers

Six domains. One scan. One report.

A Cloud Optimization Assessment analyzes your full environment across six dimensions simultaneously. Every finding carries a confidence score, ownership attribution, and a remediation horizon. Here is what the report looks like.

Section 00
Executive Summary and Optimization Score
An overall optimization score (0 to 100), environment-level savings breakdown, and prioritized critical findings with risk classification and action horizon.
Executive Summary and Optimization Score section of the Cloud Optimization Assessment report
Section 02
Zombie and Orphaned Resource Scan
Three-criteria confidence scoring separates genuinely idle resources from periodically used ones. High-confidence removals flagged for immediate action.
$680K/yr typical savings
Zombie and orphaned resource scan section of the Cloud Optimization Assessment report
Section 03
Right-Sizing Analysis
P95 utilization over 90 days, correlated against deployment schedules. Dependency map confirms no downstream service relies on full capacity before any recommendation.
$820K/yr typical savings
Right-sizing analysis section of the Cloud Optimization Assessment report
Section 04
Storage Optimization and Lifecycle Gaps
S3 storage class gaps, lifecycle policy misconfigurations, and snapshot over-retention. Flags compliance risk and unnecessary spend simultaneously.
$490K/yr typical savings
Storage optimization and lifecycle gaps section of the Cloud Optimization Assessment report
Sections 05 + 06
Network Waste and Commitment Coverage
NAT gateway traffic that could route via free VPC endpoints, cross-AZ transfer waste, and On-Demand spend on workloads stable enough for Reserved Instance commitments.
$785K/yr typical savings
Network and data transfer waste section of the Cloud Optimization Assessment report
Section 07
AI Agent and Automation Spend
Per-agent cost attribution, token spend trends, runaway loop detection, and shadow agent identification. No standard FinOps tool covers this category.
No other tool covers this
AI agent and automation spend section of the Cloud Optimization Assessment report

Six Optimization Domains

What standard FinOps tooling misses in every domain

A FinOps tool sees your bill. The Context Graph sees your environment. In every domain, that difference changes what is actionable.

Domain
What standard FinOps misses
What the Context Graph adds
Zombie Resources
Gap

A list teams don't trust. Can't tell a quarterly batch job from dead weight.

OpsCanvas

Three-signal scoring. 247 of 312 confirmed high confidence.

Right-Sizing
Gap

Utilization numbers with no dependency context. Teams don't act.

OpsCanvas

Dependency map verifies safety first. Surfaces 214 candidates Compute Optimizer missed.

Storage and Lifecycle
Gap

GB and tier costs. No governance or compliance context.

OpsCanvas

Compliance scope cross-referenced against actual lifecycle config. Cost and regulatory gaps in one finding.

Network and Transfer
Gap

NAT charges appear in the bill. Source is invisible without dependency data.

OpsCanvas

Service dependency map traces which calls generate cross-AZ traffic and unnecessary NAT routing.

Commitment Coverage
Gap

RI tools can't tell stable workloads from volatile ones. Risky commitments.

OpsCanvas

Pipeline stability verified per workstream before any commitment recommendation.

AI Agent Spend
Blind spot

No FinOps tool covers agent identity. Token costs and runaway loops are invisible.

OpsCanvas

Per-agent cost attribution, runaway loop detection, and shadow agent identification.

The Real Blocker

Optimization stalls because teams can't act confidently. The Context Graph fixes that.

Every finding comes with the evidence needed to move. Who owns this? What depends on it? What breaks if it changes? Answered before you act.

Ownership attributed, not guessed

Every finding traces to a team or individual via pipelines, CI/CD history, and identity records, not tags alone.

Blast radius before you act

The dependency map shows what will be affected by every proposed change before anything touches production.

Confidence scores on every finding

High-confidence removals are separated from items needing ownership verification. Work the right things first.

Idle vs. purposefully quiet

DR standbys and quarterly batch jobs look idle. The Context Graph carries months of history to tell the difference.

Governance memory built in

Team preferences like 'maintain 10% headroom' are captured once in the Context Graph and applied consistently to every recommendation.

Shared context across your team

Oscar Pro lets your whole team work remediations together. One engineer's investigation benefits everyone. No repeated discovery.

How It Works

Less than one hour of your team's time. Results in 24 hours.

No multi-week onboarding. No consultants to brief. No data export to prepare. Oscar connects with read-only credentials and does the work.

1

Connect your environment

Read-only credentials, your existing role assumptions. No changes made. No credentials stored centrally. Works across AWS, Azure, and GCP simultaneously. Your team's involvement at this stage: under one hour.

Under 1 hour of engineering time
2

Oscar builds the Context Graph

Oscar correlates cloud account data against deployment pipelines, CI/CD history, identity records, VCS commit history, runtime telemetry, and AI agent logs. Six domains analyzed simultaneously. No team time required.

Fully automated
3

Report delivered in 24 hours

Resource-level findings with confidence scores, ownership attribution, environment classification, and remediation horizons for every item. Not a list of opportunities. An evidence-backed plan your team can act on immediately.

Full findings in 24 hours

Why OpsCanvas

How we compare to the alternatives.

Every FinOps team considers the same options. Here is where each falls short.

What matters
Other ways (Consultants, FinOps tooling, or DIY)
OpsCanvas Assessment
Time to findings
8 to 16 weeks minimum
24 hours
Engineering time
Weeks of interviews or tagging effort
Under 1 hour to connect
Understands live environment
Interviews, bill data, or your own docs
Live Context Graph. No documentation assumed.
Blast radius analysis
Manual or not available
Automated. Resource-level. Before every action.
AI agent spend
Not covered by any tool or consultant
Per-agent attribution, trend detection, runaway loops
Cost
$30K to $300K, same blind spots
$15K to $25K. Continuous monitoring included.

What You Receive

Not a list. An evidence-backed plan.

Every item in the assessment report is backed by traceable evidence. Here is what every engagement delivers.

Cloud Optimization Assessment: Report Deliverables6 deliverables
D-01
Optimization Score
0 to 100 composite score, domain breakdown and industry benchmark
D-02
Resource-Level Findings
Confidence tier, savings estimate, ownership, and remediation horizon per resource
D-03
Critical Findings Report
Full evidence, blast radius analysis, and step-by-step remediation with approval gates
D-04
90-Day Remediation Roadmap
Now / Next / Later bucketing for maximum early savings with minimum risk
D-05
Ownership Attribution Map
Every candidate traced to team, app, or individual via multi-source evidence
D-06
Evidence Basis Documentation
APIs queried, data windows, and correlation methodology. Audit-ready.

How It Grows

Assessment to monitoring to workflow

Three stages on the same graph. Each builds on the last. The gap that repeats earns the next step.

Stage 01

Assessment

Six-domain scan of your full cloud environment. Confidence-scored findings with ownership attribution, savings estimates, and a 90-day remediation roadmap delivered within 24 hours.

$15K to $25K
Stage 02

Monitoring

Continuous detection across all six domains as your environment changes. New waste surfaces as it appears. Agent spend anomalies alert before they compound. Choose quarterly, monthly, or continuous cadence.

$1.5K to $6K per month
Stage 03

Workflow

AI-governed orchestration for large remediation programs. Agents handle evidence gathering, dependency verification, and action preparation. Humans approve every material decision. Full audit trail.

$25K to $50K ACV

Oscar Pro: tackle remediation as a team

After the assessment surfaces the opportunities, Oscar Pro lets your engineering team work through them together. Shared context means each engineer understands ownership, dependencies, and blast radius without repeating discovery individually. Tasks are distributed, approvals are tracked, and the Context Graph updates as items are resolved. Learn more about Oscar Pro.

Get Started

Find out what you are spending on that you do not need to be.

Less than one hour of your team's time to connect. Full findings across all six optimization domains in 24 hours. Evidence your team can act on, not a list to argue about.