Industries
Education
For leaders of private and charter school networks, independent colleges, career schools and training providers. Your admissions, advising and student services staff are stretched thin. We find where AI takes real work off their desks, and plan it with your faculty, within FERPA.
What we hear from education leaders
Enrollment carries the budget
An inquiry that waits a day may enroll somewhere else. Admissions counselors spend the week answering the same questions about programs, deadlines and aid instead of talking with families who are ready to commit.
AI adoption is already happening
Students use AI in their coursework, and staff try it on their own accounts. Faculty want a clear position, your board wants to know you have one, and nobody owns the question full time.
Staff fill the gaps between systems
Registrar, financial aid and student services staff move information between the SIS, the LMS and the admissions CRM by hand, and answer policy questions from memory or a catalog PDF.
Where AI pays off first
Answer inquiries while they're warm
An assistant on your website and inquiry inbox answers program, deadline and admissions questions from your own catalog and policies, then hands off to a counselor with the conversation attached. What to track: time from inquiry to first reply.
Customer Support Automation: Answer inquiries while they're warmSpot students before they drift
A weekly list for each advisor of students worth a call, drawn from LMS activity, attendance and grades, with the reason for each. The advisor decides what happens next. What to track: term-to-term retention.
Data Analytics: Spot students before they driftOne answer to policy questions
Staff ask in plain English and get the answer from the handbook, catalog and procedures, with the source cited, so every office gives the same answer. What to track: questions passed from office to office.
AI Agents: One answer to policy questionsAccreditation evidence, gathered as you go
Self-studies mean chasing evidence across departments. An agent collects and tags it through the year and drafts summaries for your accreditation lead to review. What to track: staff hours spent on the self-study.
Workflow Automation: Accreditation evidence, gathered as you goAn AI policy faculty will accept
Practical rules for coursework, staff use and AI security, drafted with faculty and IT rather than handed down, with an approved tool for each kind of work. What to track: staff using approved tools instead of personal accounts.
AI Policy & Governance: An AI policy faculty will accept
What's different about education
FERPA and student records
FERPA governs student education records. A vendor that reads them needs a contract that keeps the data under your control and limits its use. We map which records each tool touches before anything is built.
Shared governance
Faculty have a real say in academic matters, and a tool imposed on them won't get used. We bring faculty in early and keep AI out of grading decisions unless your academic leadership decides otherwise.
The academic calendar
Start of term, registration and aid season are no time to change a system. We schedule pilots and go-lives around your calendar and train staff in the quieter weeks.
How we'd start
Interview your leadership team, then admissions, advising, registrar and student services staff.
Review what your SIS, LMS and CRM hold, and which records fall under FERPA.
Size every opportunity from S to XL, rank them, and recommend the first build.
Ship that build outside your peak weeks, with staff approving what it sends.
Common questions
Will AI tools see student records?
Only where a use case needs them and your contracts and data controls allow it. Several good first builds, like inquiry response and policy answers, use only public and internal documents.
Can you help with AI and academic integrity?
We can help you write the policy and choose the tools. Decisions about coursework and assessment stay with your faculty and academic leadership.
Our IT team is small. Is that a problem?
No. We work with whoever runs your systems, build inside tools you already license where we can, and hand over everything we build.
How do we get faculty and staff to use it?
Start with the work they like least, and involve them before anything is built. Our partner leads AI adoption, training and change management, and trains each office on its own work, not on AI in general.
Related solutions
Let's find where AI pays off in your business.
Thirty minutes with Daniel. No pitch deck: you talk about your business, I tell you honestly where AI fits and where it doesn't.