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Start with your governance challenge

Define the AI decision, the business risk, and the evidence you need. A tailored discussion should start with your actual operating context.

What to prepare

A useful demonstration begins with a concrete organizational process, not a generic slide deck.

01

Your use case

Describe the AI system, its business purpose, and the type of decision it influences.

02

Your oversight needs

Identify the human approval, escalation, exception, and accountability requirements.

03

Your evidence needs

Specify which decisions, events, or controls must be demonstrable and to whom.

04

Your integration constraints

Explain which systems, access boundaries, and data restrictions must be preserved.

05

Your evaluation criteria

Choose measurable requirements for governance, traceability, security, and usability.

06

Your deployment context

Clarify intended scale, organizational roles, and relevant sector requirements.

Prepare an evaluation request

Draft an evaluation brief locally. This is a browser-only preparation tool: it does not submit, store, email, or transmit your information to STANZORA. Use synthetic or non-sensitive descriptions only.

Production contact integration is not active. A verified endpoint, privacy notice, consent handling, anti-abuse controls, and delivery audit are required before STANZORA can accept requests through this website.

What comes next

A real engagement should establish requirements, demonstrate only verified capabilities, document gaps, and agree on acceptance tests.

  1. 01ScopeIdentify intended use
  2. 02MapDocument risk and roles
  3. 03DemonstrateShow supported flow
  4. 04EvaluateReview evidence
  5. 05DecideAgree next steps

A focused evaluation brief

Before contacting STANZORA, outline a single high-value workflow. This makes a future demonstration more useful and prevents confusion between target capabilities and proven implementation.

Describe the operating case

Name the AI-related decision, who receives its output, what action follows, and the consequences of an incorrect or unreviewed outcome.

Define what success looks like

Choose two or three measurable outcomes: correct policy routing, reviewer authorization, timely escalation, evidence completeness, or another explicit acceptance criterion.

Set the disclosure boundary

Specify which information may be used in a demonstration, whether synthetic substitutes are required, and which internal approvals are needed before connecting a production system.

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