Local AI setup FAQ
Questions companies should answer before AI becomes daily work.
The point is not fear. The point is control your team can understand: access, records, storage, review, bounded agents, retained value, and support.
Governance and Control
Start with authority.
If the company cannot explain who can use AI and what they can access, the setup is not ready for daily work.
How do you control who has access?
WonderWave maps roles, users, systems, approval owners, and tool permissions, then configures Velociti so AI work starts from explicit authority rules.
How can you review who did what on AI?
Velociti records requests, approvals, denials, model routes, runtime state, source use, and reviewer decisions so a team can inspect the work later.
Is there a control plane to adjust access for AI?
The setup should give IT and operations a place to adjust access, source scope, tool permissions, model routes, and review rules as the system changes.
Data you own and store
AI work should become company memory.
Prompts, responses, files, outputs, logs, and evidence are useful only if the company can retain and find them.
Who owns every prompt and response in your day to day AI work?
WonderWave plans ownership and retention around a local or customer-controlled storage path so AI work becomes part of the company record.
Where is it stored?
The setup review identifies the right storage path for prompts, responses, files, workflow records, model route notes, and evidence.
How can you find something you did three weeks ago?
Searchable history is part of the operating model. The setup defines what is retained, how it is labeled, and how a team can retrieve it later.
Would you risk exposing your IP now?
The calmer question is what should stay inside before AI becomes daily work. WonderWave helps define data categories, approved routes, and review rules before sensitive work expands.
Security
Bound agents before they act.
Security is not only a sandbox. It is authority, source control, tool limits, runtime visibility, and evidence review.
Are you running everything on full access?
WonderWave helps teams move toward scoped access: approved sources, limited tools, runtime boundaries, and human review for higher-risk actions.
How do you reduce prompt injection or model poisoning risk?
No setup eliminates these risks. WonderWave helps reduce exposure through approved sources, scoped tool permissions, model route records, review gates, and retained evidence.
Are sandboxes enough?
Sandboxes help, but they do not replace policy, authority rules, model route review, source approval, runtime visibility, and human review for risky actions.
Recurrent cost vs asset
Should AI spend compound into your own institutional asset?
WonderWave centers setup work around retained records, local knowledge, searchable history, and team handover so AI use can become something your company owns and improves.