AI assets and agents
Record an AI system, its purpose, accountable owner, data boundaries, and the business process it affects.
ARCHITECTURE / OPERATING MODEL
The structure behind accountable AI
An integrated operating model for AI inventory, policies, risk management, oversight, and evidence. The platform page explains how the building blocks fit together.
One platform, distinct responsibilities
An organization first needs to know which AI systems exist, who owns them, and which decisions require control.
Policies and risk
Map operating policies to controls, assessments, and conditions that trigger a review or escalation.
Approval and oversight
Define which humans can approve, reject, override, or suspend an AI-assisted action.
Decision traceability
Link decisions to policy versions, review events, and relevant supporting material.
Change and incidents
Review model changes, exceptions, incidents, and evidence gaps over time.
Independent review
Prepare scoped information that an authorized reviewer can examine and, where technically supported, verify.
How components connect
The public description below is a target integration model, not proof that each component is deployed.
- 01RegisterIdentify assets and owners
- 02AssessDetermine risk and controls
- 03ApproveRoute controlled actions
- 04RecordCapture relevant evidence
- 05ReviewInspect and improve
Integration boundaries
STANZORA is intended to work alongside, not replace, existing business systems. Integration designs can include secure APIs, events, approved connectors, and controlled imports.
| Element | What clients should expect |
|---|---|
| Existing systems | Continue running their original business process, subject to the agreed integration scope. |
| Governance services | Evaluate requirements and coordinate control decisions. |
| Evidence services | Reference and preserve permitted records with defined retention and access policies. |
| Identity and permissions | Separate organizational data and restrict sensitive actions to authorized users. |
What an enterprise implementation must specify
The platform only becomes useful when its proposed governance processes are mapped to an organization’s existing systems and authority model.
Scope of the AI inventory
Agree whether the inventory covers external vendors, internally developed models, automated agents, embedded AI in business software, or all four. Capture ownership and change-management responsibility for each entry.
Decision and integration contracts
Identify which systems send events, which service evaluates policy, who authorizes an action, and how failures are handled. Connections should be explicitly scoped; an architecture drawing is not an integration test.
Operational acceptance
Require role-specific authorization checks, demonstrable evidence continuity, incident handling, accessible review interfaces, and tests showing that a failure does not silently approve a restricted action.
Capabilities on this page describe the target product model. Specific deployments, integrations, and verification claims require environment-specific evidence.