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You don't have to implement the whole platform at once. The three roles that communicate directly with students and applicants (student administration, staff support, recruitment) can each be launched independently, and expanded at any time as your institution's needs grow. Leadership visibility builds automatically as these roles operate — it isn't a separate module to implement on its own, but a shared by-product of the other three.
Instant, source-cited answers to student questions, 24/7.
Email reply drafts, automatic categorization, and one-stop administration for your own staff.
Native-language responses and automatic follow-up for prospective and international applicants.
Structured visibility into incoming question patterns — builds automatically once any other role is active, with no separate implementation needed.
The packages differ in which features and modules you get access to.
Emily runs primarily as a cloud-based service. Alternative deployment options are available for specific needs.
Emily runs on our own cloud infrastructure, offering the fastest rollout and the lowest institutional IT overhead. The system runs on the most advanced, continuously updated AI models, delivering the highest response accuracy.
If your institution requires full local data control and has the necessary server capacity, Emily can also run on your own infrastructure, on-site. In this case, the system runs on an open-weight, locally-run AI model, so response accuracy is typically somewhat lower than with the cloud-based solution.
A one-time, complete source code transfer, after which Emily runs entirely under your institution's own operation. In this case, support and further development responsibilities also transfer to the institution.
For cloud-based deployment, you can choose between two billing models.
A fixed annual fee with unlimited AI responses. Typically the better fit for predictable, high-volume usage.
Billed quarterly, based on the actual number of AI responses generated. More flexible for variable or uncertain volume.
Switching packages or pricing models can be initiated at any time, but requires a contract amendment.
Move the slider or pick your institution's size to see an estimate, based on our own demand model.
Student headcount: 5,000 students
Total average daily student and applicant inquiries: 127
broken down as:
The digital-channel inquiries currently represent approximately 12.8 hours of administrative work per day for the institution.
Emily can take on approximately 72 of these inquiries per day, saving approximately 10.8 hours.
The daily digital inquiry count comes from our own demand model, based on measured traffic from a real, public AI assistant, projected onto student headcount.
Digital inquiries make up approximately 66.7% of all (student + applicant) inquiries, according to our own research.
Handling a single inquiry takes about 9 minutes on average, according to our own research covering 37 Hungarian higher education institutions, which is the basis for the current daily administrative burden shown above.
Based on our own internal performance benchmark, a well-configured AI assistant can independently and without escalation answer approximately 85% of digital inquiries, which is the basis for the hours saved shown above.
This is an estimate based on our own demand model and internal performance benchmark, not measured data specific to your institution. For a precise, institution-specific estimate, please contact us.
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