If there was one topic that consistently surfaced during conversations at Elements Connect 2026, it was artificial intelligence.
Whether discussing student success, operational efficiency, software development, or the future of higher education technology, AI found its way into the conversation. And nearly all of the institutions we work with are trying to understand the value it can bring to their teams. For many attendees, the questions weren't about whether AI will impact higher education. They were about how.
At the same time, colleges and universities continue to face a familiar challenge: delivering more with limited resources. Smaller teams are being asked to support growing student expectations, modernize technology ecosystems, and manage increasingly complex operations. This is where agentic AI can change the equation.
What Agentic AI Actually Means
When most people think about AI today, they think about tools like ChatGPT. You ask a question; it gives you an answer. You provide a prompt, it generates content.
Useful? Absolutely. But it's still largely reactive.
Agentic AI takes things a step further. Instead of simply responding to requests, AI agents can plan, make decisions, use tools, and complete multi-step tasks while operating within human-defined guardrails.
A simple way to think about it is this: traditional AI acts like an assistant answering questions. Agentic AI starts to look more like a team member helping move work forward.
An AI agent might review documentation, analyze data, write code, perform testing, identify issues, and then bring recommendations back to a human for approval. The human isn't removed from the process. In many ways, they're elevated within it, spending less time on repetitive tasks and more time on oversight, strategy, and decision-making.
Putting Agentic AI to Work
Agentic AI is creating new opportunities to rethink how higher education technology is delivered and experienced. For institutions already navigating resource constraints and increasing complexity, some of the most valuable applications are clear.
Take a student-facing portal project as an example.
Building a modern experience where students can check enrollment status, connect with advisors, access services, and manage their academic journey often requires significant development resources. For many small and midsized institutions, projects like these can stretch timelines and budgets.
Agentic AI will change that equation.
When integrated thoughtfully into a development workflow, AI agents can help teams move faster by handling many of the repetitive and time-consuming tasks that traditionally consume developer hours. Accessibility reviews, code generation, documentation analysis, testing, and quality checks can all become part of an orchestrated workflow.
Case and point, at Thesis Elements, we’re already seeing the impact of agentic AI firsthand. By incorporating agentic coding practices and agents into our software development lifecycle, our dev team achieved a significant increase in throughput over the past year – noting a productivity increase of nearly 300%. Tasks that once required heavy manual effort can now be completed more efficiently, allowing developers to focus on higher-value work for Elements. Reinforcing our belief that technology should help talented teams do more of their best work, not replace them.
The same idea applies to integrations.
Connecting a SIS with an LMS, CRM, ERP, and other campus systems has historically required substantial technical effort. Every integration comes with its own complexities, timelines, and costs. Agentic AI offers a path toward making these projects more manageable for institutions that don't have large engineering teams at their disposal.
Afterall, the goal isn't to replace people or cut corners. It's to allow smaller teams to accomplish more while maintaining the quality standards institutions expect.
The Governance Conversation Matters
Of course, any realistic discussion about agentic AI has to include governance. The same capabilities that make AI agents powerful can also introduce risk if they're not managed appropriately. That's why successful implementations rely on clear boundaries and human oversight.
AI agents should operate within defined environments, have limited access to systems and data, and require human approval for meaningful decisions. When uncertainty exists, the expectation shouldn't be that the AI guesses. It should pause and ask.
Governance is what separates an interesting demo from a solution that institutions can trust in production.
For higher education, that also means ensuring AI works within institutional standards rather than around them. Accessibility, privacy, security, and design consistency remain non-negotiable. Any AI-assisted workflow should reinforce those standards, not compromise them.
Why This Matters for Small and Midsized Institutions
Historically, technology innovation has often favored institutions with the largest budgets and largest teams. Smaller institutions have frequently faced difficult decisions about what they can pursue now versus what must wait until later.
Agentic AI doesn't eliminate those realities overnight. But it does narrow the gap.
If a team of five can accomplish work that previously required a team of ten, new possibilities emerge. Projects that once felt out of reach become more attainable. Modernization efforts that might have been delayed can move forward sooner.
That's what makes this moment so interesting.
Looking Ahead
The higher education community is still learning what agentic AI can and should do.
Some of the most promising conversations today center around software development, systems integration, and operational efficiency. Looking further ahead, there are intriguing possibilities around retention analytics, enrollment management, financial aid, and personalized student experiences.
The conversations we had at Elements Connect made one thing clear: institutions are eager to understand how AI can create real value, but they're equally focused on doing it responsibly.
The institutions that benefit most will likely be the ones that start building their understanding now, experimenting thoughtfully, and developing governance practices alongside the technology itself.
At Thesis Elements, we're actively investing in the future of agentic AI and its role in higher education technology. Our team includes AI specialists who help shape how these capabilities can be applied to real institutional challenges, and we’re continuing to expand that expertise as we build for what’s next.
We know that agentic AI will play a defining role in the next generation of student information systems, helping institutions operate more efficiently, deliver better experiences, and extend the impact of their team. That’s why we’re not just watching this space evolve. We’re working to help lead it.
Doing more with less has always been part of higher education.
And for the first time in a long time, it feels like the tools may finally be catching up to the challenge.
Thesis Elements partners with small and midsize institutions to deliver modern, accessible, and scalable Student Information System. To learn more about how we support institutional growth, contact us.