Access control
Define who can use the workflow, who can review outputs, and which source libraries each role can reach.
Private AI trust model
WonderWave documents how a private AI pilot handles access, sources, redaction, approval, logging, and refusal behavior. Teams see the operating boundary before expansion, with each control captured in plain English.
Controls
Useful private AI work starts with visible controls. The pilot shows source access, review gates, redaction choices, and audit records before wider rollout.
Define who can use the workflow, who can review outputs, and which source libraries each role can reach.
Limit answers and drafts to selected documents, SOPs, forms, templates, or records approved for the pilot.
Identify fields to mask, block, or keep out of prompt context during early testing.
Keep client, patient, customer, financial, or legal outputs in review mode before final use.
Record source use, risk flags, redactions, AI output, and reviewer decisions during the pilot.
Define questions the assistant refuses, cases it escalates, and work that stays manual.
Audit panel
The pilot makes trust visible by showing why a result was generated, what sources were used, what was blocked, and who must approve it.
Review the boundary
The first pilot review maps sensitive data categories and decides what the assistant can safely do.