Deployment and
onboarding
Enterprises adopt BoonOS through governed deployment: connect the right systems, give operational data a controlled purpose, configure decision loops, apply policy, route authority, execute approved action, and record outcomes with audit evidence.
System mode
BoonOS
Loop
E2E
Version
V1
Rule
Apps show the operating loop. Backend owns the operating logic.
BoonView
SurfaceThe user and developer surfaces show decisions, queues, approvals, outcomes, datasets, and audit context. Apps expose BoonOS; backend services own the operating logic.
BoonSense + Audit
ObserveBoonSense records outcomes and feedback. Audit owns immutable evidence. Observability tracks logs, metrics, traces, and health.
BoonAct
ExecuteApproved actions are executed into connected systems only after policy and workflow authority confirm the work is allowed.
Policy + Workflow
ControlPolicy is the gatekeeper. Workflow is the authority. They decide what is allowed, blocked, approval-required, escalated, or manually overridden.
BoonThink
DecideDecision loops generate ranked options, simulations, scores, explanations, and recommendations. AI proposes; it does not execute.
BoonGraph
ModelThe living business model: objects, relationships, state, rules, permissions, and action definitions derived from validated events.
Event Service
NormalizeThe authoritative event layer validates, persists, publishes, and replays normalized operational events. Graph state changes through events only.
BoonData
Govern dataThe governed data plane owns tenant data posture, dataset purpose, ingestion jobs, feature snapshots, training records, and model artifact metadata.
BoonConnect
ConnectConnectors, webhooks, APIs, files, and databases connect the customer environment. Connectors request events or scoped ingestion jobs; they do not bypass Event Service.
Stable
Long-term architecture
Durable service ownership and versioned change.
Loop
Operating path
Every feature preserves the full operating loop.
Data
Governed plane
Datasets need a decision, workflow, or evidence purpose.
HITL
Control authority
Policy and workflow decide what can become action.
Decision-first architecture
Controlled decisions come before data views.
Each implementation starts with one operating decision and follows it through context, authority, action, outcome, and audit.
01
Signal to context
Validated events update business state and reveal the operating situation.
02
Options to authority
Decision loops compare options and pass recommendations through policy.
03
Action to learning
Approved actions execute, then outcomes and audit close the loop.
Data and model control
BoonData serves the loop, not a dashboard.
Data is onboarded when it supports a decision, policy, workflow, or evidence need. That keeps the system governed instead of becoming open-ended BI.
Tenant posture
Integrate, hybrid, or hosted
Customers can keep data external, host selected datasets, or use full BoonData storage.
Training evidence
Feature snapshots
Training and replay use frozen dataset references for review and reproducibility.
Model use
Approved artifacts only
Decision Service records which approved model or deterministic path was used.
BoonView surfaces
Interfaces stay thin. Backend authority stays enforced.
Apps show the operating loop. Backend services enforce policy, workflow authority, execution, tenancy, and audit.
Operator
Queues and approvals
Exceptions, recommendations, approvals, action status, and audit timelines.
Executive
Operating impact
Outcome, risk, SLA, workflow, and decision-performance views.
Admin
Control plane
Tenants, permissions, connectors, policies, datasets, snapshots, and model approvals.
Developer
Contracts and sandbox
API contracts, event schemas, SDKs, webhooks, sandbox tests, and examples.
Adoption path
Start with one high-value decision loop and make it operational end to end.
The first adoption should prove the full path from signal to action and outcome, then expand across adjacent workflows once the control model is trusted.