Intro / Problem
Team AI adoption is harder than individual experimentation. One person may be comfortable using AI while another is unsure what is allowed. Some people may use AI for drafting or summaries, while others worry about sensitive information, quality, or accountability.
AI Foundations for Teams creates a shared starting point so people can learn the basics together and practice responsible AI use in the context of real work.
Main Section 1
Section headline: Build common language across the team
Section copy: Team training helps people understand basic AI concepts, where AI may support everyday work, what limits to respect, and how to talk about AI use without confusion or hype.
Main Section 2
Section headline: Practice the habits teams need to share
Section copy: Teams may practice prompting, context-setting, output checking, summarizing, drafting, planning, and identifying use cases. The emphasis is on shared patterns that can be repeated and reviewed.
Main Section 3
Section headline: Connect training to adoption support
Section copy: Foundations training can be a standalone learning path, part of the Governed AI Adoption Pilot, or a follow-on step after a readiness conversation. When training needs behavior reinforcement, Change Management & Cultural Enablement may be the next path.
What This Helps With
- Building shared AI literacy across a team
- Establishing practical safe-use habits
- Practicing prompting and output review together
- Surfacing use cases, concerns, and follow-up needs
How Sixth City AI Helps
Sixth City AI helps teams learn AI in a practical, non-hype way. The work connects training to real workflows, guardrails, review habits, and next-step decisions instead of treating training as a one-time event that solves adoption.
What to Expect
- Clarify the team’s current AI use, goals, and concerns.
- Teach practical AI basics and shared language.
- Practice prompting, context-building, and output review with work-relevant examples.
- Capture questions, use cases, adoption barriers, and possible next steps.