AWS cost data that has an owner for every dollar.
CoreFinOps ingests CUR 2.0, normalizes it by account, service, and tag, and gives every dollar an owner — or surfaces it explicitly as UNALLOCATED. No forced 100% allocation.
Cost Intelligence capabilities
Spend Explorer
Pivot AWS CUR 2.0 data by account, service, region, tag, workload, team, or business unit. Save views and compare periods.
Cost Allocation
Direct tag attribution, manual rules, and percentage splits. Costs without an owner are shown as UNALLOCATED — not hidden.
Multi-account support
AWS Organizations hierarchy with consolidated billing. Drill from payer account to member account to individual service.
Budgets
Set spend targets at account, team, or workload level. Budget overruns surface as governance findings in the Action Center.
Period comparison
Compare any two billing periods side-by-side. Identify cost spikes, new services, and allocation drift between periods.
Tag coverage gaps
Resources without required tags are surfaced as UNALLOCATED or as governance findings — not silently averaged away.
How allocation works
CoreFinOps does not force every cost into a category. Unattributed spend stays visible as UNALLOCATED.
Resource is tagged with the owning team or application. CoreFinOps maps directly to that allocation.
Operator-defined rules assign costs by account, service, or resource pattern to a specific owner.
A shared cost (e.g., a shared NAT gateway) is divided by defined percentage across owners.
Costs with no eligible owner are shown explicitly as UNALLOCATED — never force-rounded to reach 100%.
Data source
- CUR 2.0 Data Export from your AWS management or payer account
- Normalized by account, service, region, usage type, and tag dimensions
- Ingested per billing period — no real-time streaming or live API polling
- Tier-1 resource inventory: EC2, EBS, RDS, NAT Gateways, ELB/ALB/NLB, Lambda
See your AWS cost mapped to owners.
Book a demo and we'll show the Spend Explorer, allocation rules, and UNALLOCATED surfacing against a real account or sample dataset.