{"id":6586,"date":"2026-04-10T05:57:23","date_gmt":"2026-04-10T05:57:23","guid":{"rendered":"https:\/\/citymind-website.azurewebsites.net\/how-to-handle-tens-of-thousands-of-queries-on-campus-without-further-overloading-your-team\/"},"modified":"2026-09-21T08:55:47","modified_gmt":"2026-09-21T08:55:47","slug":"how-to-handle-tens-of-thousands-of-queries-on-campus-without-further-overloading-your-team","status":"publish","type":"post","link":"https:\/\/www.citymind.tech\/en\/how-to-handle-tens-of-thousands-of-queries-on-campus-without-further-overloading-your-team\/","title":{"rendered":"How to handle tens of thousands of queries on campus without further overloading your team"},"content":{"rendered":"\t\t
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Why Citymind<\/h3>

If you\u2019re dealing with information accessibility, pressure on the admissions office, and fragmented resources at your university today, you\u2019re probably not looking for yet another system. You\u2019re looking for a way to shorten the path to answers for students and applicants and give your team back the time they\u2019re losing most.<\/span><\/p>

This is exactly the situation where Citymind makes the most sense. After all, universities usually don\u2019t lack information. What\u2019s missing is simple access to it. Prospective students are looking for admissions exams, degree programs, and deadlines. Students are dealing with enrollment, dorms, scholarships, thesis projects, or practical administrative matters. And your staff finds themselves answering the same questions over and over again\u2014questions that are already available somewhere on the website, in a PDF, or in internal documents.<\/span><\/p>

When all of this coincides during a single period, it creates exactly the kind of pressure you know all too well: more inquiries, more forwarding, more phone calls, more emails, and less time for work that has real professional value. That\u2019s why it makes sense for universities to consider not just a single chatbot, but a smartly tailored package based on where communication is currently taking up the most of your capacity.<\/span><\/p>

Why Now?<\/h3>

In the academic environment, AI is no longer a niche topic. Students use it routinely, and expectations for the availability of digital services continue to rise. For you, this means one thing: the pressure for fast, clear, and accessible communication won\u2019t decrease. It will increase.<\/span><\/p>

And it\u2019s growing in very specific ways. Inquiries come in the evenings, on weekends, and during peak times\u2014when your teams are under the most pressure. So it\u2019s not a question of whether you\u2019ll use AI someday. It\u2019s more about how you\u2019ll harness it so that it truly helps you, rather than adding another layer of complexity.<\/span><\/p>

\u201cA while back, we launched a chatbot for prospective students. The most common topics? Admissions exams, degree programs, and sample tests. Interactions increased as the admissions process approached, especially at night, when no one is available to answer the phone at the faculty.\u201d<\/span><\/p>

Sylva \u017d\u00e1kov\u00e1 Talpov\u00e1, Associate Dean of ECON MUNI<\/span><\/p>

What the university package looks like<\/h3>

AI chatbot on the website<\/b> is the first and most visible layer. If you want to quickly provide answers to applicants and students, this is the ideal starting point. It helps with topics that come up time and time again: entrance exams, degree programs, deadlines, dorms, scholarships, and university services.<\/span><\/p>

The Aurora AI agent<\/b> belongs within the institution. Where the public website isn\u2019t enough, it helps your staff find information in documents, streamline work with regulations, and prepare emails, supporting materials, draft texts, research, or summaries. It\u2019s exactly the kind of tool you don\u2019t showcase on your homepage, but you\u2019ll quickly come to appreciate it in your day-to-day operations.<\/span><\/p>

Voicebot<\/b> makes sense when the pressure shifts to the phone. Whether it\u2019s for admissions, registration, the help desk, or student housing, it can handle peak call volumes, guide callers, and forward more complex questions to the right person\u2014complete with a summary. This means you don\u2019t have to rely solely on everyone reaching the right person at the right time.<\/span><\/p>

AI transcriptions<\/strong> instantly convert audio or video recordings from academic senate meetings, department meetings, lectures, or workshops into clear, readable text. Instead of manually transcribing and repeatedly listening to recordings, you can easily find important passages, prepare summaries, meeting minutes, or materials for colleagues and students. Ideal for academic body meetings, internal meetings, lectures, interviews, and educational events. Do you also need formal meeting minutes? Use your existing Aurora AI Agent<\/strong> subscription, or purchase one if you don\u2019t have one.<\/p>

And if you’re dealing with something specific, that’s where <\/span>custom development<\/b>. This is exactly how Umberta at the Faculty of Arts at MUNI came into being, for example, which does not write texts for students, but helps them with professional writing, structure, citations and feedback. This is also important strategically: it doesn’t mean you have to fit into one template. It means you can choose where you want to start, and where AI really makes sense for you.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Globally, students use AI in their studies<\/div>\t\t\t
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Typical time to first deployment of an AI chatbot on a website<\/div>\t\t\t
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Number of inquiries per year at MENDELU <\/div>\t\t\t
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People involved in live testing of Umberta at FF MUNI<\/div>\t\t\t
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How Does a University Become Part of the Citymind Ecosystem?<\/h3>

A good start is usually very practical. Choose one department or area that\u2019s under pressure: for example, the admissions office, the registrar\u2019s office, student housing, or the help desk. Citymind will prepare an initial demo, you\u2019ll test real-world scenarios, and based on the results, you\u2019ll decide where it makes sense to move forward.<\/span><\/p>

That\u2019s exactly what\u2019s important about this approach. You don\u2019t have to buy everything at once. You can start with a pilot, verify the benefits, and then build a package tailored to your actual needs. At MENDELU, it\u2019s clear that once the first layer proves successful, other departments, faculties, and product layers can follow.<\/span><\/p>

This turns AI into more than a one-off experiment; it becomes a well-thought-out path toward a more accessible university. And that\u2019s exactly how we think of Citymind: not as a single installation, but as a long-term ecosystem that you can enter safely and gradually.<\/span><\/p>

Pilot at a single college<\/span> Expansion to other departments<\/span> Internal AI assistant<\/span> Phone interface<\/span> Customized solutions<\/span><\/p>

What to Take Away From This<\/h3>

If you\u2019re currently dealing with issues like information accessibility, pressure on research teams, or fragmented resources, there\u2019s no need to start with a general discussion about AI. It\u2019s better to begin with a single, specific use case that will deliver quick results while also paving the way for broader digitization across the entire institution.<\/span><\/p>

This is where Citymind shines: the first AI chatbot on your website can be the beginning\u2014not the end.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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