AI Governance

Model Usage Guidelines

Guidelines for selecting, configuring, supervising, and using AI models within Lisaiceland DBA products and workflows.

Effective DateJune 20, 2026
Version1.1
OwnerLisaiceland DBA
CoverageAll listed properties

Scope and Covered Properties

This policy applies to Lisaiceland DBA and all websites, applications, products, services, documentation, APIs, affiliate programs, creator programs, AI systems, integrations, and future offerings, including:

Lisaiceland.commyAgents.PLUSAI Voice+meVid.onlineCinVida.online

References to “Lisaiceland,” “we,” “us,” or “our” mean Lisaiceland DBA.

Purpose

These guidelines help customers and internal teams configure AI models, prompts, knowledge sources, workflow actions, and integrations responsibly across Lisaiceland DBA products.

Model Limitations

AI models may hallucinate, omit context, misunderstand instructions, overgeneralize, produce biased outputs, or provide outdated information. Outputs should be treated as assistance requiring human judgment.

These limitations are inherent to current AI systems generally, not unique to any single model or vendor, and tend to be more pronounced for niche, fast-changing, or highly technical topics.

Configuration Standards

Users should use clear prompts, scope boundaries, role definitions, approved knowledge sources, limited tool access, human approval for consequential actions, and output review before publication or customer reliance.

  • Define what the agent should and should not do, in plain language
  • Connect only the knowledge sources and tools the workflow actually needs
  • Require human approval before any action that sends money, publishes content, or contacts a customer

Data Minimization

Users should avoid sending unnecessary sensitive personal information, secrets, credentials, payment data, medical data, regulated data, or confidential business information into AI workflows unless appropriate safeguards and legal bases support that use.

Evaluation and Monitoring

Customers should test AI workflows before production and periodically review performance, escalations, complaints, false outputs, unintended behavior, and changes in source data or business requirements.

Ongoing monitoring is especially important after model updates, prompt changes, or new integrations, since behavior that worked well in testing can shift as underlying conditions change.

AI Governance Principles

  • Human-centered design: AI should support people, creators, teams, and businesses while preserving accountability.
  • Transparency: Users should understand when they interact with AI, synthetic media, automation, or AI-assisted workflows.
  • Safety: Lisaiceland DBA may restrict uses that create security, privacy, legal, reputational, or human-rights risks.
  • Privacy: AI workflows should minimize unnecessary data collection and respect confidentiality, permissions, retention limits, and applicable law.
  • Accountability: Customers and users remain responsible for how they configure, deploy, supervise, publish, and rely on AI outputs.

General Legal Terms

Reservation of Rights

Lisaiceland DBA reserves all rights not expressly granted and may update, restrict, suspend, remove, review, or terminate access, content, workflows, affiliate participation, commissions, rewards, or AI functionality where needed to protect users, customers, legal compliance, product integrity, or brand trust.

No Professional Advice

Lisaiceland DBA products, documents, automations, and AI outputs are not legal, medical, financial, tax, employment, emergency, or professional advice.

Limitation of Liability

To the maximum extent permitted by law, Lisaiceland DBA will not be liable for indirect, incidental, consequential, special, exemplary, punitive, lost-profit, lost-data, or reputational damages.

Governing Law

Unless mandatory law requires otherwise, this policy is governed by the laws of the State of Texas, United States, without regard to conflict-of-law principles.