AI Champions Network Sessions
Audience: Selected faculty and staff representatives
Format: Monthly or quarterly community of practice
Make knowledge move,
without silos.
The AI Champions Network is a community of practice for selected representatives across units. Sessions surface real use cases, identify obstacles, coordinate guidance, and keep policy aligned with actual campus work. The goal is sustainable diffusion, not top-down announcements.
Core Topics
What the network repeatedly works on across meetings.
Sharing Use Cases
Short, repeatable wins. What problem, what workflow, what guardrails, what changed.
Reviewing New Tools
Fast evaluation using shared criteria, not vendor marketing and not social media buzz.
Troubleshooting Challenges
Where implementations break, what misconceptions repeat, and what support fixes it.
Updating Policies and Guidance
Adjust language and examples so it matches real work, while staying safe and consistent.
Avoiding Silos
Cross-unit signals, shared templates, and a consistent message across departments.
Measuring What Matters
Track adoption and clarity, not “AI excitement.” Use lightweight indicators that reduce burden.
Session Cadence
A repeatable agenda that makes monthly or quarterly meetings productive.
Each unit shares one win, one stuck point, one emerging risk, one request for guidance.
One champion presents a workflow, including constraints, guardrails, and proof of usefulness.
Evaluate a tool, feature, or policy question using shared criteria and a decision log.
Agree on one guidance update, one resource, and one message champions will bring back.
Operating Model
How the network stays coordinated, useful, and sustainable.
- Facilitator: holds the agenda, protects time, maintains the decision log.
- Champions: bring unit signals, share workflows, carry guidance back.
- Policy liaison: ensures updates align with institutional standards and approvals.
- Usefulness (boring, repeatable value).
- Risk (data sensitivity, compliance, reputational harm).
- Verification (how outputs are checked, by whom).
- Equity (who benefits, who gets excluded, who bears the burden).
- Support cost (training load, documentation load, maintenance).
- One shared repository for playbooks and templates.
- One decision log, updated every session.
- One “message of the month” delivered across units.
- Rotate spotlight, so innovation is distributed.
Network Artifacts
Concrete outputs that outlive meetings.
Use Case Cards
One-page workflow snapshots, including constraints, prompts, checks, and safe defaults.
Decision Log
What we tested, what we decided, why, and what conditions must be true for safe use.
Guidance Updates
Short, plain-language policy clarifications with examples, updated as practice evolves.
Troubleshooting Library
Patterns of failure, fixes that worked, and common misconceptions paired with scripts.
Outcomes
Sustainable coordination, built into campus routines.
Shared Language and Faster Support
Units stop reinventing answers, and people know where to go, and what “safe” means.
Consistent Guidance Across Campus
Policies match real practice, and messaging does not fragment into department folklore.
Visible, Repeatable Use Cases
Operational improvements spread via playbooks, not reliance on a few power users.
Governance That Keeps Up
New tools get evaluated with shared criteria, and decisions are documented and revisitable.