Positioning
WAO is an AI Performance Intelligence Platform, not an AI model.
Waltrump AI OrchestratorResources
Public resources explain WAO positioning, benchmark workflows, Gateway readiness, enterprise value, security posture, and support paths.
Resource Center
Understand the public WAO journey before requesting an invite.
Open resourceLearn how prompt datasets become benchmark evidence before deployment.
Open resourceUnderstand AI Health Score, maturity, confidence, evidence coverage, and recommendations.
Open resourceReview API keys, provider abstraction, production monitoring, and gateway intelligence.
Open resourceCompare execution, credential, data, delivery, access, and maturity boundaries.
Open resourceUnderstand Benchmark Express, stability, cost, scorecards, actions, readiness, visibility, authenticity and Capture.
Open resourceUnderstand exact provider/model/operation activation for text, embeddings, image, audio, video and proposal-only agents.
Open resourceReview application packs, proposal-only tool behavior, human approval and remaining acceptance limitations.
Open resourceUnderstand credential, execution, artifact, consent, safety and audit boundaries.
Open resourceWalk through the pilot-friendly product experience.
Open resourceReach Waltrump Technology for pilot or launch support.
Open resourceTrust Topics
WAO is an AI Performance Intelligence Platform, not an AI model.
WAO should explain score, maturity, evidence coverage, confidence, and improvement guidance.
Network participation is opt-in and privacy protected.
Provider/API costs may be separate.
Controlled-beta status
These states come from the server capability catalog. They are not purchase, certification, global execution or scale-readiness claims.
36 capability records
Can this application or proposal-only agent complete representative scenarios safely?
How can my application execute approved requests while recording evidence?
What evidence supports the current health and next action?
Which evidence gap or risk needs an owner and verifiable next action?
What evidence is available for this decision?
What is declared, what is verified and what evidence is still missing?
What safety signals and unresolved risks need review?
How is this organization represented in approved AI observations and citations?
Invite-only Manual plan assignment Payments and checkout disabled Capabilities and quotas vary by approved plan
Review integration boundaryInvite-only Controlled provider execution may be disabled per environment Quota and policy enforced No browser or mobile key storage
Review integration boundaryInvite-only Server-side use only Modes and quotas vary by plan Customer must review critical recommendations
Review integration boundaryInvite-only Server-side use only Templates and quotas vary by plan Reports describe supplied evidence and are not certifications
Review integration boundaryManual approval Controlled download only Not published to public registries Version, expiry, support, and revocation are grant-controlled
Review integration boundaryEnterprise design-partner pilot only No self-service download Real customer installation evidence required Licence, quota, version, expiry, support, and revocation controlled
Review integration boundaryDo not request, sell, provision, implement, or imply availability
Review integration boundarySecurity boundary
Public materials do not expose credentials, raw customer evidence, scoring formulas, evaluator instructions, hidden provider logic, or other protected methods.
Public FAQ
No. The 23 factors are WAO's performance taxonomy. Each workflow measures only applicable factors and identifies missing or insufficient evidence.
No. WAO remains invite-only, payments and checkout are disabled, and expanded capabilities require review.
No. Private deployment is a design-partner discussion and controlled pilot path.
No. Contribution is off by default and requires explicit consent; insight access and contribution are separate.
Authenticated customers can open Customer Help inside the WAO application after sign-in.
Invite-only Beta
Start with one benchmark, review AI Health, and use evidence-based recommendations to improve before you scale.