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Waltrump AI OrchestratorControlled Beta Access
Test WAO in real workflows before commercial plans open.
Controlled beta access. Quotas apply. Provider credentials and provider API charges may be required. No payment during beta. Public forms create a reviewed application, not an automatic account, purchase, or production entitlement.
Plan Fit
Choose by the AI journey you are on
Each beta level has strict usage limits so the first cohort can test provider comparison, AI Health, reports, and Gateway execution safely.
Prevent poor AI decisions before spending money with a basic benchmark, AI Health snapshot, and proof-before-purchase report.Starter
Correct weak prompts and compare provider performance for small AI apps, agencies, and early SaaS products.Growth / Professional
Monitor and improve AI performance continuously with multi-provider comparison, Gateway selection, WAO Auto-Select, AI Health history, and reports.Enterprise
Prevent AI risk at organizational scale with organization AI Health, governance health, advanced provider strategy, team management, audits, and executive reports.Private Engine discussion
Request a reviewed customer-controlled Prompt and Report Intelligence pilot. This is not Full Private WAO, Private Gateway, or public self-service deployment.
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Bring your provider
Customers use their own provider credentials. Provider API usage remains subject to the provider's charges.
FAQ
Questions teams ask before trusting AI at scale
Will WAO ask for payment during beta?
No. Payment gateways and checkout are currently disabled.
Are provider/API costs included?
No. Your organization supplies provider credentials and remains responsible for provider usage charges.
How do larger plans open?
Submit a beta request during onboarding. A WAO platform administrator reviews capacity and approves access.
Does WAO guarantee ROI?
No. WAO helps measure quality, efficiency, reliability, and business signals. It does not guarantee ROI.
Invite-only Beta
Request the controlled-beta path that fits your decision.
Start with one benchmark, review AI Health, and use evidence-based recommendations to improve before you scale.