Cloud Cost Management · AI Cost Management
SpendPilot — cloud cost savings for AWS, Azure, and Google Cloud
Turn cloud and AI spend into verified savings.
Cloud Cost Management for AWS, Azure, and GCP. AI Cost Management for OpenAI, Anthropic, Bedrock, and Vertex—billed separately, same approve-before-act workflow.
Guarantee: if we cannot find at least $300/year in realistic savings, you pay nothing for follow-up work. Free audit · no auto-delete without approval.
Cloud Cost Management
From waste scan to verified cloud savings
Scan AWS, Azure, and GCP for idle spend, assign an owner, approve the act, then verify the drop on Cost Explorer, Cost Management, or BigQuery—never delete without your approval.
Waste Scan
Detect waste across AWS, Azure & GCP.
Review & Assign
Assign findings to the right owners.
Approve
You pick the act. We wait for confirm.
Act
We run only the opted-in cloud acts you confirm.
Verify Savings
Savings verified in your cloud bill.
AI Cost Management
From API keys to verified AI savings
Track OpenAI, Anthropic, Bedrock, and Vertex in one place—billed separately from Cloud Cost Management, same approve-before-act discipline.
Connect encrypted API keys, sync month-to-date usage, surface idle keys and spend spikes, then Manual-fix in the provider console. SpendPilot never auto-revokes keys and never takes a cut of your model bill.
Connect & sync
Link providers once; pull MTD spend and key-level usage without exposing secrets in the browser.
Detect waste
Flag idle keys, unusual spend, and coverage gaps so finance and platform share one view.
Manual-fix → verify
You rotate or revoke in the console; we help you confirm the AI bill actually dropped.
Connect
Providers lock onto the AI Cost hub
We don't just show waste.
We get it fixed and prove the savings.
Most tools dump recommendations. SpendPilot surfaces safe actions for Cloud Cost Management and AI Cost Management, assigns an owner, lets you act when opted in, then verifies the bill drop.
01
Detect waste
Find idle cloud resources and AI spend anomalies—then estimate monthly impact before anyone acts.
02
Assign ownership
Map each finding to a team, project, and environment so someone owns the fix—not another ignored alert pile.
03
Approve → act → verify
Opt-in cloud acts after an engineer confirms, or Manual-fix AI keys in the provider console—then prove the bill dropped.
Opt-in cloud acts
Human-gated deletes, stops, changes—and manual fix
Scans stay read-only until you enable remediation on an account. High-risk types ask you to type DELETE or CHANGE. AI findings stay Manual-fix. Full matrix on waste scans.
Act 01
Approve & delete
Orphans, zero-target LBs, idle NAT / VPC endpoints (typed DELETE), stopped Cloud SQL—only after preflight.
Act 02
Approve & stop
Idle EC2, Azure VM deallocate, low-CPU GCE—never terminate running VMs.
Act 03
Approve & change
gp2→gp3, rightsizing, Azure VMSS SKU, GCS default storage class—when a mapped target exists.
Act 04
Manual fix
AI keys, anomalies, and commitment coverage—guidance in-product; you fix in the console. SpendPilot never purchases commitments.
Explore by provider
Deep guides for each cloud—and AI Cost Management for LLM spend—with verified bill impact.
- AWS cost savingsEC2, EBS, NAT, VPC endpoints → Cost Explorer proof
- Azure cost savingsVMs, VMSS, disks, IPs → Cost Management proof
- GCP cost savingsGCE, PD, GCS class, Cloud SQL → BigQuery proof
- AI Cost ManagementOpenAI, Anthropic, Bedrock, Vertex → verified AI spend
- Cloud cost optimizationOne Cloud Cost Management workflow across clouds
Built for teams who feel every cloud and AI bill
SaaS startups, AI teams, and agencies managing client accounts—across the US, Europe, India, and APAC. Connect clouds, sync AI Cost Management from OpenAI and Anthropic, scan waste, and track verified savings.