SpendPilot
Free cloud audit

Free cloud savings audit

Find $300+/year in savings—or pay nothing.

  • Audit guarantee: Secure, read-only review of one cloud you choose (AWS, Azure, or GCP)—not OpenAI/Anthropic API keys. If we cannot identify at least $300/year in realistic cloud savings, follow-up work costs you nothing.
  • Read the process below, then request your audit—or jump straight to the form.
  • This free audit covers one cloud (AWS, Azure, or GCP). For OpenAI / Anthropic / Gemini spend, use AI Cost Management in-product (self-serve connect)—it is not part of the free cloud audit guarantee.

Audit process

What happens after you request

A secure, read-only review of one cloud you choose—AWS, Azure, or GCP. Here is the path from request to findings to optional product onboarding. OpenAI / Anthropic / Gemini API spend is not in this free audit—connect those later under AI Cost Management.

Guarantee: Guarantee: if we cannot find at least $300/year in realistic savings, you pay nothing for follow-up work.

  1. Step 1

    Request the audit

    Share your company, monthly cloud spend band (AWS, Azure, or GCP—whichever you use), and what hurts most. We reply within one business day with a secure next step.

  2. Step 2

    Grant read-only access to one cloud

    Connect whichever cloud you want reviewed—you only need one. AWS: read-only IAM role or user. Azure: service principal with Reader + Cost Management Reader. GCP: service account with Viewer + BigQuery Data Viewer on billing export. No write access for the audit.

    AWS setupAzure setupGCP setup

  3. Step 3

    We review that cloud

    AWS: Cost Explorer, anomalies, idle EC2/EBS, RDS, NAT/EIP/ALB waste. Azure: Cost Management, idle VMs, unattached disks, unused public IPs. GCP: BigQuery billing export, stopped VMs, unattached disks, reserved static IPs, old snapshots. We focus on the provider you connected.

  4. Step 4

    You get a clear deliverable

    Top 5 actions with estimated savings in your currency, confidence (high/medium), and suggested owners (team / environment).

  5. Step 5

    Guarantee check

    If we cannot show a realistic path to the promised annual savings threshold for your market, follow-up work costs you nothing.

  6. Step 6

    Optional: track fixes in SpendPilot

    Move findings into the action tracker, assign owners, verify spend deltas, and see net profit vs your plan. Add more clouds later, or connect OpenAI / Anthropic / Gemini under AI Cost Management when you want LLM waste scans too.

What we review

Native signals for the cloud you connect (we only use the tools that apply):

  • AWS Cost Explorer30/90-day spend by service; top growing costs
  • Azure Cost ManagementSubscription MTD spend by service
  • GCP BigQuery billing exportProject MTD spend by service; anomaly baseline
  • Cost Anomaly DetectionOpen AWS anomalies and estimated impact
  • Trusted AdvisorIdle LBs, EIPs, underused EBS (Business+)
  • Compute OptimizerOverprovisioned EC2 / EBS / Lambda
  • AWS EC2 & storageStopped instances, unattached volumes, old snapshots, idle NAT
  • Azure compute & disksIdle VMs, unattached managed disks, unused public IPs
  • GCP Compute & SQLStopped GCE, unattached PDs, reserved IPs, old snapshots, stopped Cloud SQL
  • RDS / ElastiCacheLow-utilization downsize candidates

Safety rules

  • ·We never delete, stop, or resize resources during the audit.
  • ·We prefer non-production findings first when possible.
  • ·Assumptions are documented (e.g. storage type changes).

Prefer to self-serve? See how SpendPilot works after you connect an account, review AI Cost Management for LLM spend, or jump to the request form.

Request

Start your free audit

Takes about a minute. We'll send read-only cloud setup steps next (one of AWS, Azure, or GCP).