3 applicant scenarios. 4 documents each. Gemini Flash extracts structured fields from every document.
Gemini Pro cross-checks income, identity, and bank statement arithmetic. Inconsistencies surface as ledger events for a human reviewer.
Every AI action settles on Tempo mainnet. Human final decision required: the leasing decision rests with the property manager and follows fair-housing rules.
Human final decision required. P402 does not approve or deny tenants. The fraud score shown is illustrative; the leasing decision rests with the property manager and follows fair-housing rules.
Select an applicant scenario and click "Screen Applicant" to begin.
The Scenario A clean applicant costs roughly $0.000022 total across 4 documents, 2 models, full extraction and consistency check. The legacy workflow operating cost is materially higher per applicant; the exact gap depends on the manual or vendor process you are replacing.
Scenario C triggers escalation at score 87 (threshold: 65). The signals: three-way name inconsistency, bank statement arithmetic error, wrong routing number for the claimed geography, unverifiable employer. Each signal is a ledger event with a Tempo proof.
Every screening step is an immutable record on Tempo: which model ran, which documents were checked, what the output was. The AI never makes the final decision; the property manager does. The AI reasoning is auditable to support a HUD fair-housing review.
Per-operation receipts. 5-level client budget hierarchy. Human review gate. CMS-0057-F + HIPAA-aligned demo.
Run demo8 contracts. Flash or Pro routing per doc. Cross-document conflict detection. ABA audit trail.
Run demoOrg, dept, project, and team attribution. Routing observations. Budget visibility.
View dashboard$0.02–$0.05 per applicant. Manual screening runs $30–80. What do you do with this?
Connect your teams, see real attribution, enforce budget caps, cut model waste. Free tier available — or talk to sales for a white-glove onboarding.
See Plans & Pricing →You own the vertical. P402 provides the metering, settlement, and cost attribution layer underneath it. White-label or embedded.
Talk to Partnerships →OpenAI-compatible endpoint. Drop-in SDK. Add one header and per-token metering starts. Settlement handled automatically.
Read the Docs →The economic and technical case for per-token AI settlement on Tempo. Protocol spec, whitepaper, and the full P402 story.
Most teams start with the enterprise dashboard using their own tenant ID. If you need a guided walkthrough of your specific workflow, request a custom demo.
Request Custom Demo →