DCAA ICE Model Indirect Cost Rate Auditor
134,000.00 in express unallowable indirect costs eliminated from DCAA rate pools across across 3 items.
Commercial marketing ($65,000.00) stripped from G&A pool under FAR 31.205-1. Preempts DCAA audit penalty.
Method1Audited trial balance general ledger lines against FAR Part 31 unallowable cost principles.
2Recalculated clean Fringe, Overhead, and G&A indirect rates for electronic ICE model filing.
| Reference | Description | Unallowable_Cost |
|---|---|---|
| General_Admin_GA | Commercial Advertising Unallowable Pool Deduction | 65,000.00 |
| General_Admin_GA | Fines and Penalties Unallowable Deduction | 45,000.00 |
| Fringe_Benefits | Executive Country Club Unallowable Deduction | 24,000.00 |
Government contractor trial balance and indirect expense pools, plus Federal Acquisition Regulation (FAR) Part 31 guidelines
DCAA Incurred Cost Electronic (ICE) model submission file and unallowable cost elimination schedule (Resolution Dossier, Findings Schedule)
Open DCAA ICE Model Indirect Cost Rate Auditor on sample data now with no sign-up, then run your own files free for 14 days. $3,500 a month after that, cancel any time. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
14 days on your own files, then $3,500 a month.
Open DCAA ICE Model Indirect Cost Rate Auditor on sample data now with no sign-up, then run your own files free for 14 days. $3,500 a month after that, cancel any time.
On a sample file: 134,000.00 in express unallowable indirect costs eliminated from DCAA rate pools across across 3 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Start on your own files
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.