PE Add-Back Substantiator
$365,000.00 in disputed management add-backs resolved across across 4 items.
Annual cybersecurity audit is an ongoing operational requirement. Disallowed under Diligence Standard 2.
Method1Audited proposed adjustments against standard institutional QoE normalization rules.
2Separated defensible non-recurring add-backs from recurring operational expenses.
| Reference | Description | Disputed_Addback |
|---|---|---|
| AB-03 | Routine IT Security Disallowed as Add-Back | $65,000.00 |
| AB-05 | Executive Quarterly Bonuses Disallowed | $120,000.00 |
| AB-01 | Founder Personal Travel Approved | $85,000.00 |
GL expense ledger and schedule of proposed management EBITDA add-backs
QoE add-back defense dossier with audit evidence and substantiated multiple impact (Resolution Dossier, Findings Schedule)
Run PE Add-Back Substantiator free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,750 a month. 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.
Free scan. Pay only on cash recovered.
Run PE Add-Back Substantiator free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,750 a month.
On a sample file: $365,000.00 in disputed management add-backs resolved across across 4 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.
Get a free scan
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.