Responsible AI

AI Transparency

How the product approaches AI scope, knowledge, human oversight, limitations, and responsible deployment.

Last updated: 2026-08-06

A defined role, not unlimited autonomy

An AI website employee should be configured for a specific customer-facing job. Its responsibilities, supported topics, tone, escalation rules, and success measures should be documented before deployment.

Approved knowledge and visible boundaries

Answers should be grounded in approved business information. Teams remain responsible for source accuracy, permissions, maintenance, and deciding which information is suitable for customer-facing use.

The system can produce incomplete or incorrect output. High-impact, sensitive, ambiguous, or unresolved matters should be routed to a qualified person rather than presented as certain.

Human oversight and evaluation

Teams should review conversations, evaluate answer quality and harmful failure modes, monitor escalation performance, and update knowledge and controls using real evidence.

  • Disclose that visitors are interacting with an AI assistant where appropriate
  • Provide a practical route to human support
  • Avoid collecting information that is not needed for the defined task
  • Test the system before expanding its responsibilities
  • Record ownership for knowledge, incidents, and model or provider changes

Framework alignment

The operating principles are informed by established risk-management themes such as governance, transparency, privacy, security, measurement, and ongoing human accountability. They are not a certification or guarantee of compliance.

Important notice

Review these documents before production launch.

These pages are an operational foundation, not jurisdiction-specific legal advice. The final company identity, providers, retention periods, governing law, and contact details must be confirmed by the operator and qualified counsel.

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