Every week, another continuing education dean gets a pitch from a company promising to “bring AI to your institution.” The slide decks look great. The demos are polished. The urgency is real.
And most of these partnerships will disappoint — not because the products are bad, but because the dean didn’t ask the right questions before signing.
I’ve helped more than 60 universities navigate this decision. Some chose us. Some chose competitors. Some chose to build internally. The ones who got it right — regardless of which partner they picked — all asked the same five questions.
Question 01Do they deploy under your brand or theirs?
This sounds like a small thing. It’s not.
When a student completes an AI certificate, whose name is on it? When a prospective employer sees that credential on a resume, whose reputation does it carry? When your marketing team promotes the program, are they driving traffic to your institution — or to someone else’s platform?
Some partners want your students to become their students. Their brand shows up on the login page, the certificate, the student experience. Your institution becomes a distribution channel for someone else’s product.
Others operate as infrastructure — invisible to the student, invisible to the market. The student sees your name, your brand, your credential. The partner provides the curriculum, the technology, and the support behind the scenes.
Neither model is inherently wrong. But you need to understand which one you’re signing up for, because it determines who builds the long-term relationship with the learner. And in continuing education, that relationship is everything.
“If I walked through the student experience end to end, where would I see your company’s name versus my institution’s name?”
Question 02What’s the actual timeline — and what’s the real bottleneck?
Every vendor says “fast.” Press them on what that means.
Here’s the reality most CE deans already know: the bottleneck is almost never the content. It’s governance. A new program routed through a curriculum committee takes 12 to 18 months. By the time it’s approved, the content is already outdated — because AI moves that fast.
The partners who deliver quickly aren’t cutting corners on quality. They’re deploying through channels that don’t require curriculum committee approval — your CE division, your professional studies unit, your provost’s office. Non-credit certificates and professional development programs have a different approval path than degree programs. That’s not a loophole. That’s how continuing education is supposed to work.
If a partner tells you deployment takes 6 to 12 months, ask why. If it’s because their process requires your curriculum committee, you’re not buying speed — you’re buying another internal project with an external vendor attached.
“Walk me through the timeline from our first call to enrolled students. Where are the approval gates, and which ones are yours versus mine?”
Question 03Who owns the revenue?
There are three basic models in this market, and they have dramatically different economics for your institution.
The OPM model: the partner handles marketing, enrollment, and sometimes instruction. You provide the brand and the accreditation. They take 50 to 60 percent of tuition revenue — sometimes more. You get reach, but you pay for it permanently.
The licensing model: you pay an annual fee for access to content and a platform. The upside is predictable cost. The downside is that it’s a cost, not a revenue generator. If enrollment underperforms, you’re still paying.
The infrastructure model: the partner provides curriculum, technology, and support. You handle enrollment through your existing channels. You keep the tuition. The partner earns through a partnership fee or revenue share that’s structured to be revenue-positive for the institution from the first cohort.
None of these models is universally right. But you need to know which one you’re entering, because the financial incentives shape everything — including whether the partner is motivated to help you grow enrollment or simply to keep you under contract.
“Show me the unit economics. What does the institution keep per student, and at what enrollment level does this become revenue-positive?”
Question 04What happens to my faculty?
This is the question that determines whether your partnership survives contact with your campus.
Faculty are not an obstacle to AI transformation. They’re the gatekeepers of it. Any partner who treats faculty as a problem to route around will create a political crisis that outlasts the contract.
The best partnerships put AI tools directly in faculty hands and let them experience the transformation firsthand. Not a lecture about AI. Not a policy memo. Hands-on workshops where a professor of business administration builds an AI-assisted assignment and realizes it makes her teaching more rigorous, not less.
I’ve seen faculty senates vote 3-to-1 against AI integration, then reverse themselves within five sessions when the training was designed correctly. The swing wasn’t about persuasion. It was about experience. Faculty who fear AI haven’t used it. Faculty who’ve used it want more of it.
If a partner’s model requires replacing your faculty or bypassing them entirely, that’s a signal. If their model includes faculty training as a core component — not an add-on, not an afterthought — that’s a different signal.
“What does faculty engagement look like in your model? Is it optional, embedded, or nonexistent?”
Question 05Can I talk to a peer institution that’s already done this?
This is the question that separates real operators from pitch-deck companies.
Any partner with a meaningful track record can connect you with a provost, a CE dean, or a VP of academic affairs at an institution that has deployed their programs. Not a testimonial on a website. A phone call with someone who will tell you what worked, what didn’t, and whether they’d do it again.
If a partner hesitates on this request, or offers you a case study PDF instead of a conversation, take note. The most credible signal in higher education is still a peer who’s willing to put their name behind a recommendation.
When you make that call, ask three things: How long did deployment actually take? What surprised you — positively or negatively? Would you expand the partnership or let it expire?
The answers will tell you more than any demo ever could.
AI education partnerships are going to define continuing education revenue for the next decade. The institutions that choose well will generate new tuition streams, differentiate their graduates, and build faculty capability. The institutions that choose poorly will spend 18 months in implementation, alienate their faculty, and end up with a product that carries someone else’s brand.
The difference isn’t luck. It’s asking the right questions before you sign.