AI governance
Accountability, approved uses, and human oversight.
RESOURCES / LEARNING
Understand responsible AI operations
Plain-language explanations and practical evaluation questions for organizations considering AI governance and assurance.
Browse practical guidance
Search within the resource summaries below; content is available locally in this prototype.
Decision lifecycle
How governance checks and reviews connect.
Risk and policy
Purpose, thresholds, and escalation responsibilities.
Evidence readiness
Provenance, integrity, scope, and review.
Trust boundaries
Data access, minimization, and customer responsibility.
Industry scenarios
Examples across regulated and operational contexts.
Common questions
These explanations are descriptive and avoid unsupported operational claims.
Does STANZORA replace an AI model?
The intended role is to help govern and review AI use. Existing models and operating systems remain distinct and require approved integrations.
Can a dashboard certify compliance?
No. Compliance requires scope-specific legal and operational assessment supported by evidence.
What is verifiable evidence?
Information with clear provenance, context, scope, and a suitable validation method. An attractive interface alone is not proof.
Is STANZORA LAB a production service?
No. The public LAB presented in this prototype uses synthetic browser-only steps.
A structured learning path
For a reader new to AI governance, the following route builds understanding without requiring specialist terminology.
Understand the exposure
Start with the Platform and Industries pages to identify which AI activities matter, the people responsible, and why consequences differ across processes.
Understand the controls
Continue through How It Works and Governance to see how policy decisions and human intervention should fit into real workflows.
Understand what can be proved
Read Assurance and Security before deciding what questions to ask in a demonstration. The presence of a feature description is not the same as verified product availability.