Who can access what, and who approved it?
Governance starts with named users, scoped tools, approval owners, and action limits. Sentinel makes those decisions visible before work runs.
WonderWave consulting powered by Velociti
Make AI a company capability you can own.
WonderWave helps companies plan and set up Velociti-based local AI systems with governed access, owned records, searchable history, bounded agents, and practical support.
Governed access
Owned records
Searchable history
Bounded agents
A team request passes through Velociti access controls, approved company data, a local model, and bounded tools. The answer returns with sources and the complete workflow is retained in company-owned history.
Authority modelDecide who can request AI work, what systems agents can touch, and who approves risky actions.
Owned memoryKeep prompts, responses, files, logs, and workflow records in a searchable company-controlled path.
Bounded agentsRun AI work inside limits for tools, network, filesystem, sources, duration, and review.
Support pathLeave your team with a working setup, operating records, handover, and a clear improvement cadence.
Powered by Velociti
Platform proof for a local AI setup your team can operate.
Velociti gives WonderWave a governed operating surface for AI work: Sentinel authority, local model routes, chat-connected workflows, runtime visibility, lineage, and durable evidence.
Sentinel OverviewRuntimeEvidence
CHAT REQUEST
Sentinel receives the workflow request.
A user asks Velociti to check the document worker and summarize risk. Sentinel records the purpose before a bot can run.
Sentinel statusRequest captured
Gate ruleRead-only until approval
Model routeLocal preferred
RuntimeNot started
ChatSentinelBounded botLocal modelEvidence
What this demonstrates
Chat-driven work becomes a governed Sentinel request. The bot, model route, runtime probe, and evidence package stay visible before the system expands.
"Sovereignty is the precondition for choice."
Operating questions
The right local AI setup starts with questions your team can answer.
WonderWave turns AI uncertainty into an operating model: access rules, owned records, bounded agents, review trails, and a support path your team can keep improving.
Who owns every prompt, response, file, and workflow record?
Owned records create memory your company can search, audit, and use for better future work.
Are agents running full access, or inside governed limits?
Bounded agents get approved sources, constrained tools, duration limits, and review gates before write actions or exports.
Is AI spend compounding into your own institutional asset?
Setup should leave retained evidence, searchable history, model route decisions, and team knowledge that become more useful over time.
WonderWave local AI operating model
Access, records, security boundary, and support in one setup path
Control map
Storage plan
Model route plan
Audit plan
Support plan
"Data retention is your treasure."
Velociti walkthrough
See how a bounded workflow becomes reviewable.
A local Velociti demo showing how a chat request becomes governed work with Sentinel approval, local model routing, runtime visibility, lineage, and audit closeout.
Full demo page
The full walkthrough shows the control model in motion.
Open the full-screen demo to click through Sentinel approval, bot launch, local model routing, runtime proof, lineage, and evidence closeout without compressing the interface into the homepage.
Control layer
Set limits your team can understand, review, and adjust.
A local AI setup needs a control plane for access, records, sources, tool use, and review. WonderWave configures Velociti so Sentinel reviews bot work against rules your team can inspect.
"Controlling your weights is controlling your fate."
SentinelApproved scope before execution
Purpose, target, duration, filesystem access, and network routes are recorded before a bot runs.
ModelsApproved model routes
Model choices are attached to the workflow record so IT can see which endpoint handled each task.
GatesRisky actions require review
Read-only checks can move quickly while deploy, restart, delete, export, or broad write actions stay gated.
EvidenceRecords stay visible
The setup records what ran, what stayed blocked, which route handled the work, and what evidence exists.
Setup process
From AI questions to a working local system.
Each step produces material your team can inspect: control map, storage plan, model routes, audit plan, sandbox policy, pilot workflow, handover, and support path.
"Tokenmaxxing hijacks your value orientation."
Control Map
Map who can use AI, which systems are in scope, what data is retained, and who approves higher-risk actions.
Velociti Setup
Configure Sentinel, approved sources, local model routes, tool limits, runtime visibility, and evidence retention.
First Workflow
Test one controlled workflow with real acceptance criteria, review gates, and records your team can search later.
Handover And Support
Train owners, document review routines, tune limits, and keep the setup useful after launch.
Artifacts your team can use
Setup work should leave usable operating records.
Each artifact gives IT and operations something concrete to inspect, approve, revise, search, or hand to the next owner.
Example workflow run
Matter document worker
- Request capturedUser, purpose, target folder, and 30-minute lease recorded.Logged
- Sentinel gate checkedRead-only access allowed. Write actions remain approval-gated.Allowed
- Bot launched locallyBounded worker starts under Sentinel with filesystem and network scope.Scoped
- Model route verifiedLocal Gemma route selected for the approved workflow and recorded for review.Local
- Runtime probe savedRancher state, labels, cleanup status, and drift notes attached.Evidence
- Reviewer decisionApprove, edit, or reject action captured with the final closeout note.Reviewable
No black box
Every important action should leave a trail your team can open.
WonderWave setup work exposes the authority rule, bot action, model endpoint, runtime state, denial reason, and human decision behind the workflow.
AuthoritySentinel scope, lease, owner
Bot activityStart, stop, tool use, target
Model routeLocal endpoint and blocked paths
RuntimeContainer state and cleanup
DenialsPolicy reason and timestamp
CloseoutReviewer action and notes
Control mapUsers, roles, approval owners, allowed tools, blocked actions, and review points.
Local storage planWhere prompts, responses, files, logs, and evidence should live and how teams find them later.
Model route planWhich work uses local models, which routes stay blocked, and which exceptions require approval.
Audit and review planEvidence fields, retention expectations, reviewer actions, and search needs.
Support planTraining, handover, tuning cadence, and next workflows to consider after the first test.
Resources
Prepare your local AI setup review before the first call.
Use the readiness checklist and resource hub to bring your access questions, storage needs, current tools, first workflow, and support expectations into the setup review.
Business typeClinic, law, accounting, finance, service.
Data categoryPatient, legal, tax, financial, customer, operations.
First workflowOne repeated process with an owner, agent boundary, and review point.
Data sampleSynthetic, redacted, or approved examples.
Request a local AI setup review
Bring your AI control questions. Leave with a setup path.
Share your business type, current AI use, software stack, access concerns, data category, first workflow candidate, and support needs.
- Do not submit passwords, private keys, PHI, regulated records, or confidential customer files through this public form.
- Use this form to request a review, not to transfer production data.
- WonderWave will use your answers to decide whether a Velociti-based local AI setup review makes sense.
Setup review form
Share the business context WonderWave needs to evaluate whether a Velociti-based local AI setup is a good fit.
If the form does not load, open the setup review form in a new tab.
Questions before setup
Frequently Asked Questions
Start with the questions that help your team understand who controls AI work and what value stays inside the company.
How do you control who has access?
WonderWave maps users, roles, systems, approval owners, and tool limits, then configures Velociti so AI work starts from known authority rules.
How can you review who did what on AI?
Sentinel records requests, approvals, denials, model routes, runtime state, and reviewer actions so teams can inspect what happened after the work is done.
Who owns every prompt and response in day to day AI work?
The setup plan defines where prompts, responses, files, workflow outputs, and evidence should live so the company can retain and search its own records.
Where is it stored, and how can you find something from three weeks ago?
WonderWave plans retention and search around your local or customer-controlled storage path so approved records can become operational memory.
Are agents running full access?
The goal is bounded access: approved sources, limited tools, review gates, runtime visibility, and clear denial reasons when a requested action should not run.
How do you reduce prompt injection or model poisoning risk?
No setup eliminates these risks. WonderWave helps reduce exposure by using approved sources, scoped tool permissions, review gates, retained evidence, and clear policies for what agents may do.