AI for Academic and Administrative Workflows
Audience: Staff, administrators, faculty leaders
Format: Applied lab or short course
Demonstrate operational AI
without threatening roles.
This applied lab focuses on workflows that reduce friction and improve clarity, drafting, documentation, reporting support, and email procedures, while staying inside guardrails for sensitive data. Participants leave with ready-to-use templates and a shared method for safe adoption.
Core Topics
Operational use cases with clear boundaries.
Drafting and Summarization
Turn rough notes into clear drafts, then tighten for tone, audience, and purpose.
Meeting Notes and Documentation
Convert agendas and notes into minutes, action items, owners, and deadlines.
Data Interpretation Support
Explain tables, trends, and basic summaries, then prepare a human-reviewed narrative.
Email and Procedural Clarity
Rewrite for clarity, reduce ambiguity, and standardize messaging for repeated situations.
Policy and Guidance Drafting
Create student-facing or staff-facing plain-language summaries (reviewed before publishing).
Guardrails for Sensitive Data
Practice safe inputs, redaction, and “what not to paste” habits that reduce risk.
Applied Labs
Hands-on practice with ready-to-reuse workflow patterns.
- Paste a sanitized set of bullet notes (no sensitive identifiers).
- Generate a draft in the correct genre (memo, announcement, procedure).
- Refine for audience, tone, reading level, and length.
- Human review, then produce a final version and a “short version.”
- Provide an agenda plus sanitized notes or transcript excerpts.
- Generate meeting minutes in a consistent template.
- Extract action items with owners, due dates, and dependencies.
- Create a follow-up email and a one-page status tracker summary.
Minutes + action list
Follow-up email + tracker
- Provide a small, sanitized dataset or a table excerpt.
- Ask for a plain-language interpretation with uncertainty notes.
- Generate a report draft with headings and an executive summary.
- Identify what must be verified by a human before sharing.
- Bring a messy email, policy paragraph, or procedure draft (sanitized).
- Rewrite for clarity and “next action” readability.
- Create a short FAQ, plus a staff-facing “what to say” script.
- Generate a checklist version for repeat use.
Email (short + full)
Checklist + FAQ
Guardrails for Sensitive Data
Safe habits, predictable rules, fewer incidents.
What Not to Paste
Student records, HR details, medical information, protected identifiers, or anything regulated by institutional policy.
Sanitize and Abstract
Replace names with roles, remove IDs, summarize cases in neutral terms, and keep only what is necessary for the task.
Human Review Is Mandatory
AI drafts, humans approve. Especially for policy, emails to large groups, and public-facing communication.
Uncertainty and Verification
Require AI to mark assumptions and questions, then confirm facts before distribution.
Templates Participants Leave With
Copy, paste, adapt, repeat.
Template 1: Drafting Brief
“You are writing a (genre) for (audience). Goal: (purpose). Constraints: (length, tone, must-include). Provide draft + short version.”
Template 2: Meeting Minutes
“Convert these notes into minutes with decisions, action items (owner, due date), risks, and next meeting agenda.”
Template 3: Table to Narrative
“Explain trends in this table, list uncertainties, propose questions to verify, then draft a short report paragraph for leadership.”
Template 4: Email Clarity Pass
“Rewrite for clarity and next actions. Produce a short version and a polite version, keep authority, remove ambiguity.”
Template 5: Procedure Checklist
“Turn this procedure into a checklist. Add common failure points and a 3-question FAQ.”
Template 6: Guardrail Prompt
“Before responding, ask if any sensitive data is present. If yes, propose a safe alternative using anonymized placeholders.”
Proof of Value
How this shows worth without hype.
Time Saved
Faster first drafts, faster minutes, faster follow-ups, less rework due to unclear messaging.
Quality Lift
Consistent structure, clearer tone, fewer omissions, better documentation artifacts.
Risk Reduced
Guardrails, sanitization habits, and review norms lower the chance of sensitive data misuse.

