Intro / Problem
Teams often start using AI before they have shared expectations. People may not know what information should stay out of tools, when outputs need review, or who should answer a higher-risk question.
AI Policy & Guardrails Resources collect practical guidance for teams that need clearer responsible-use habits. These resources may help a team prepare for policy conversations, but they do not make a team compliant or replace qualified professional review.
What practical guardrails can include
Practical guardrails may include approved-use boundaries, sensitive-data reminders, human review expectations, output checking, escalation paths, and team norms.
How this differs from legal or compliance advice
These resources can help teams ask better questions and prepare for responsible use. They do not replace legal, compliance, cybersecurity, privacy, or regulatory review.
Resource access should be contextual
Some tools or checklists may be provided through a contact form or readiness conversation so Sixth City AI can understand the team’s context. Do not treat any template or checklist as proof of compliance, security, privacy, or readiness.
Where to go deeper
Teams that need support designing guardrails may need AI Governance Advisory. Teams that need training may start with Governance Foundations or AI Foundations for Governance. Teams ready to practice may begin with the Governed AI Adoption Pilot.
What This Helps With
- Understanding practical AI guardrail concepts
- Preparing employees to use AI responsibly
- Distinguishing resources from advisory support
- Finding the right governance next step
- Knowing when qualified professional review is needed
What to Expect
- Review educational resources and common guardrail topics.
- Identify questions that require leadership or specialist review.
- Decide whether training, advisory, or a governed pilot should come next.
- Update resources as governance needs evolve.