Governance and Control
Define who can access what, who can approve actions, and which AI work needs review before it runs.
Primary service
WonderWave helps companies plan and configure Velociti-based local AI environments with access control, owned records, searchable history, bounded agents, audit review, team handover, and support.
Operating model
Each question becomes a practical part of the local AI environment, not a slogan.
Define who can access what, who can approve actions, and which AI work needs review before it runs.
Plan where prompts, responses, files, outputs, logs, and evidence are retained so history can be searched later.
Configure agents around approved sources, bounded tools, network limits, runtime visibility, and clear denial reasons.
Turn AI use into durable institutional memory: retained data, better workflows, local route decisions, and trained owners.
Implementation path
WonderWave scopes the current AI footprint, designs the local architecture, configures Velociti, tests one workflow, and hands the operating model to your team.
Who uses AI now, what data is involved, what systems matter, and where control is missing.
Storage, model routes, access model, approved sources, sandbox policy, and audit needs.
Sentinel authority, local model routes, bounded agents, workflow records, runtime visibility, and evidence retention.
Training, review routines, support plan, and next workflow recommendations.
Deliverables
Setup should leave the company with a working system and the documents needed to operate it.
Velociti fit
Sentinel reviews authority, local model routing keeps route decisions visible, runtime proof shows what ran, and evidence records help your team improve the system over time.
"Sovereignty is the precondition for choice."