SSO SAML License Tier Downgrader
$214,200.00 in annual vendor enterprise pricing premiums recovered across across 3 items.
250 seats paying $75/seat vs $45 standard ($30/mo premium) exclusively for SAML. Downgrade with Google OAuth saves $90,000.00/yr.
Method1Identified SaaS subscriptions where enterprise upgrades are driven solely by SAML gating.
2Architected directory-federated OAuth login alternatives to permit standard tier downgrade.
| Reference | Description | Annual_Savings |
|---|---|---|
| Enterprise | Figma SAML SSO Premium Elimination | $90,000.00 |
| Enterprise | Postman Enterprise Tier Surcharge | $66,600.00 |
| Enterprise | Miro Collaboration Enterprise Markup | $57,600.00 |
Enterprise SaaS subscription contract features and active Okta/Azure AD SSO integration manifests
OIDC/SSO workaround plan and license downgrade renegotiation schedule (Resolution Dossier, Findings Schedule)
Run SSO SAML License Tier Downgrader 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 $1,250 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 SSO SAML License Tier Downgrader 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 $1,250 a month.
On a sample file: $214,200.00 in annual vendor enterprise pricing premiums recovered 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.
Get a free scan
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.