Clinics and healthcare admin
Patient intake summaries, scheduling notes, insurance prep, and staff handoffs with PHI warnings and approval.
Explore clinic workflowsWonderWave consulting powered by Velociti
Private AI pilots with governed bots, local models, and proof.
WonderWave helps IT teams and regulated local businesses test one sensitive AI workflow through Velociti’s control layer: Sentinel approvals, bounded bots, local model routing, runtime visibility, and audit evidence.
Sentinel approval
Local model route
Rancher visibility
Forgejo/GitOps lineage
Gemma 4 Closeout HermesSentinel Overview
V
Read only
Document Workflow Sentinel
sentinel-gemma4-document-worker
Sentinel approvedRancher readyGitOps linkedSecret-ref only
OverviewRuntimeRancherSecurityEvidence
HealthIdle
Reads allowed. Write actions gated.
Gates4
Purpose, duration, network, filesystem.
RuntimeClean
No orphaned worker containers.
LineageLinked
Forgejo release and evidence tied.
10:36 Sentinel scope approved
10:37 worker launched read-only
10:40 Rancher runtime checked
Sentinel gatesBot scope, duration, filesystem access, and network routes are approved before work begins.
Local model controlPrompts, logs, screenshots, and workflow outputs can route through approved local models.
Runtime proofRancher-backed visibility shows what is running, cleaned up, or drifting from policy.
Evidence closeoutApprovals, denials, bot actions, model routes, and cleanup records stay reviewable.
Powered by Velociti
The platform layer behind WonderWave pilots.
Velociti gives WonderWave a governed operating surface for secure AI work: Sentinel bot authority, local model routes, chat-connected workflows, Rancher runtime visibility, Forgejo/GitOps 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 pilot expands.
“Sovereignty is the precondition for choice.”
Workflow-first
Sensitive workflows need visible boundaries and local controls.
With WonderWave, nothing leaves your local systems and no information is shared externally.
Local systems
Velociti Sentinel
Local model
Private output
Internal records
External sharing blocked
Hosted API
WonderWave local control
Data stays inside your environment
Local model route
Encrypted storage
Audit evidence
“Data retention is your treasure. Transfer it at your own peril.”
External sharing path
Outbound data route is closed
No file upload route
No hosted prompt path
No external model sharing
Law firms and legal ops
Matter intake, document triage, deadline extraction, and source citations with privilege-aware review.
Explore legal workflowsAccounting and finance teams
Client request assistants, document prep, bookkeeping notes, and tax-data warnings before output.
Explore finance workflowsLocal service businesses
Customer intake, estimate prep, job handoffs, and internal knowledge Q&A with scoped source access.
Explore service workflowsVelociti walkthrough
See a governed bot in action.
A local Velociti demo showing chat intake, Sentinel approval, bot launch, local model routing, runtime proof, GitOps lineage, and audit closeout.
Full demo page
The complete simulation has moved to a dedicated walkthrough.
Open the full-screen demo to click through Sentinel approval, bot launch, local model routing, Rancher runtime proof, Forgejo/GitOps lineage, and evidence closeout without compressing the interface into the homepage.
Control layer
Govern bots, models, agents, runtime, and evidence with Sentinel under your authority.
Velociti gives each pilot a visible operating boundary under your control: Sentinel reviews every bot against rules you set, then records local model routes, approved tools, runtime proof, and closeout evidence for every workflow.
“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.
ModelsLocal route for sensitive work
Model choices are attached to the workflow record so IT can see which endpoint handled the task.
GatesWrite actions require approval
Read-only checks can move quickly while deploy, restart, delete, or export actions stay gated.
EvidenceApprovals, denials, logs, and cleanup retained
The pilot record shows what ran, what stayed blocked, and what evidence exists.
Pilot process
From Sentinel scope to granular audit and log trails.
Each step produces reviewable evidence: authority rules, bot activity, model route records, runtime logs, approvals, denials, and closeout artifacts.
“Tokenmaxxing hijacks your value orientation.”
1.
Sentinel Scope
Map purpose, target systems, allowed tools, denied actions, lease duration, and approval owners.
2.
Velociti Pilot
Build one governed workflow with a bounded bot, local model route, and visible runtime state.
3.
Team Rollout
Train staff on chat requests, approvals, evidence review, and handoff rules before expansion.
4.
Governance Support
Improve bot scopes, Sentinel gates, model routing, runtime probes, and evidence reporting over time.
Artifacts your team can review
Granular audits and log trails your team can actually inspect.
This is not a black box. Each artifact gives IT and operations something concrete to inspect, approve, revise, or reject before a wider rollout.
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 and spun up. No data goes out of your system.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 action leaves a trail your team can open.
WonderWave pilots expose 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
Sentinel authority mapPurpose, lease, tools, network, filesystem, approvals.
Bot workflow prototypeA governed workflow running under one approval record.
Runtime probe reportRancher state, labels, cleanup, and drift notes.
Evidence packageLogs, denials, model route, screenshots, closeout notes.
Rollout recommendationExpand, revise, or stop based on operational evidence.
Resources
Prepare the pilot before the first call.
Use the readiness checklist and resource hub to bring the workflow, local environment, approval owners, and evidence questions into the pilot review.
Business typeClinic, law, accounting, finance, service.
Data categoryPatient, legal, tax, financial, customer, operations.
WorkflowOne repeated process with an owner, bot boundary, and review point.
Data sampleSynthetic, redacted, or approved examples.
Request a private AI pilot review
Bring one sensitive workflow. Leave with a safer pilot path.
Share the business type, workflow candidate, software stack, sensitive data category, and whether sample or redacted data is available.
- 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 private AI pilot makes sense.
Pilot review form
Share the business context WonderWave needs to evaluate whether a Velociti-powered private AI pilot is a good fit.
If the form does not load, open the pilot review form in a new tab.
Questions before a pilot review
Frequently Asked Questions
Open the questions that matter to your team before deciding whether a private AI pilot is worth reviewing.
Does sensitive workflow data leave our local environment?
The private pilot path is designed so sensitive workflow data, prompts, logs, model outputs, and evidence stay inside the approved local or customer-controlled environment.
What is Sentinel reviewing?
Sentinel reviews bot requests against rules you set: purpose, target system, duration, allowed tools, denied actions, network route, filesystem access, and approval owner.
What do you need from our team?
WonderWave typically needs a workflow owner, current software stack, target systems, sample or redacted examples, approval owner, known risk points, and a description of the intended workflow output.
What stays human?
Risky actions, final decisions, exports, policy exceptions, low-confidence outputs, and professional judgment remain with named reviewers. The pilot can draft, classify, summarize, search, and prepare evidence for review.
Can this work with our existing systems?
The pilot is scoped around existing tools and approved sources where possible: folders, documents, chat surfaces, repositories, runtime systems, records, and workflow outputs your team already uses.
What artifacts do we receive?
You keep the artifacts inside your environment. WonderWave does not receive files, logs, prompts, model outputs, or system records, and no external authority receives access, unless you explicitly grant that access. Typical local artifacts include a Sentinel authority map, workflow prototype, local model route notes, runtime probe report, audit trail, and rollout recommendation.