5 Ways AI Can Support Campus Disaster Preparedness (and Where It Stops)
AI can start a campus preparedness plan in an afternoon. It cannot restore SIS, speak for the registrar, or keep FERPA data out of a prompt you should not have pasted. National Preparedness Month is a good time to use the tool. It is a bad time to confuse the output with a plan your institution can run at 2 a.m.
Below are five uses that are honest. After each one is the stop sign. An IT partner who already works in Higher Ed is what turns the draft into operations: tested restores, named owners, Exposure Management that ranks what would stop the semester, and evidence you can show for FERPA and NIST 800-171.
NewPush supports 75+ institutions, 1M+ students, and 100k faculty. We are not asking you to trust a generated PDF. We are asking you to use AI for the part it is good at, then finish the work.
1. Turn scattered notes into a system inventory
Use: Feed AI the notes you already have (meeting minutes, a CMDB export you trust, a list of official systems) and ask for a structured inventory: system name, owner, data type (student, research, HR), and whether it touches SIS or LMS.
Stop: Do not paste production data, student records, or secrets into a public model. Do not treat the inventory as complete. Campus shadow IT will not appear because a chatbot is confident. A human still has to walk the integrations.
2. Draft the communications tree
Use: Ask for a first-pass tree: who tells the CIO, who tells the provost, who posts to students, who calls the SIS vendor. Give it your real titles, not a generic corporate org chart.
Stop: Authority on a campus is not a standard org chart. Shared governance, the registrar, communications, legal, and campus police may all have a role the model will invent or omit. Humans assign the names and the after-hours numbers. Test the numbers.
3. Build tabletop scenarios that match the academic calendar
Use: Ask for five short scenarios timed to your calendar: SIS down on the first day of add/drop, LMS down during midterms, identity provider down on a housing move-in weekend, ransomware on a departmental share that holds research, a vendor outage during enrollment.
Stop: A scenario is not a test. Running it requires the people who would actually be in the room and the technical facts of your stack. Do not grade the institution on how well the prompt was written.
4. Turn policy PDFs into a gap list
Use: If you already have FERPA procedures or a NIST 800-171 SSP, ask AI to list controls that mention restore, access review, encryption, or vendor access, and to produce a homework list of artifacts to gather.
Stop: A gap list is not an assessment. Models miss local interpretations and will happily invent control IDs. Counsel and your compliance owner stay in the loop. AI does not do NIST for you.
5. Give a new leader a structured outline
Use: A CIO or IT director in the first 90 days can ask for an outline of a campus disaster recovery plan: sections, questions to ask deputies, a 30-day agenda. That is a reasonable way to avoid a blank page.
Stop: The outline will sound finished. It is not your plan. It does not know your RTO, your backup product, your Exposure Management findings, or which research data cannot go to a consumer AI tool.
What an IT partner does that a prompt cannot
- Confirm restores on SIS, LMS, and identity, not on a sample folder.
- Keep student and research data out of tools that are not under contract.
- Rank exposures so the work of Q4 is sequential, not loud.
- Put names on decisions so cabinet gets facts instead of a generated narrative.
- Stay with you when the semester is the incident, not when the document is pretty.
That is the difference between we asked a model and we can teach on Monday.
A clean way to use AI this month
Day 1: inventory draft from notes you already own, no production data in the prompt.
Day 2: comms tree draft, then human names and phone tests.
Day 3: pick one academic-calendar scenario and run 30 minutes with the real owners.
Day 4: homework list from existing policy, then gather artifacts you can actually show.
Day 5: decide what a partner must operationalize before October gets loud.
If you have an AI outline and no tested campus plan behind it, do not treat the outline as readiness. An outline does not tell you how ready the organization is for AI.
If you want an honest read on that, start Phase 0. It is a short AI readiness assessment. You get a Trainer login and a clear next step for fluency, not another console to install.
