Can it handle admissions inquiries and applicant questions?

Yes — it answers the high-volume questions that flood the admissions office every registration cycle: faculties and programs, tuition and installment plans, scholarship criteria, deadlines, entrance exams, and required documents. It captures each applicant's profile — track, target program, graduation year — at first touch, so staff pick up decision-stage cases with full context.

Does it work in both Arabic and English for students and parents?

Yes. Arabic is authored natively across every dialect, alongside English, and the interface supports 10+ languages, so a parent can ask in one language and a student in another. Students and parents can message by text, voice, or image, and the agent answers in the language they wrote in.

What happens with application-specific actions it should not handle itself?

Anything tied to an individual applicant's file — an admission decision, a transfer-credit evaluation, an accreditation ruling, or an exceptional installment approval — is routed to your admissions staff with the full conversation, never answered with a number or a guarantee the agent cannot stand behind. Human escalation is a built-in control, so a student reaches a person at the decision stage instead of a wrong status.

AI admissions agents for Arabic university operations.

ChatSheba answers questions about programmes, fees and deadlines from university information and collects application details. Admissions staff handle exceptions, qualification equivalency and academic decisions.

The problem in admissions operations

Every registration cycle, the admissions office is flooded with the same questions — faculties, fees, installment plans, deadlines, required documents. Parents and students need answers outside office hours, and transfer and accreditation cases are hard to route to the right specialist.

The admissions cycle, step by step

Choosing a faculty and programme from a student’s interests and school track.
Fees, instalment plans and scholarships, programme by programme.
Deadlines and entrance exams, when questions pile up at the registration peak.
A prospective student’s profile, captured at first contact.
Transfer and accreditation cases, routed to the right admissions officer with context.

What the AI handles

Guides prospective students through faculty and program selection by interest and high-school track.
Provides tuition, installment plans, scholarship criteria, and required documents per program.
Explains admission steps, deadlines, and entrance exams, during registration peaks.
Captures student profiles — track, target program, graduation year — at first touch.
Escalates transfer credits, unusual installment requests, and accreditation questions to staff with full context.

How Sheba fits

ChatSheba runs the admissions agent across WhatsApp Business API, Telegram, and the web, with a knowledge base for faculties and fee schedules; custom engineering connects it to your student systems. Both run inside your data boundary.

Admissions assistant: ChatSheba
From a knowledge base of faculties and fees, it answers students and parents on WhatsApp, Telegram and the web.
See ChatSheba
Agents for application follow-up
Exceptions go to staff. The routine part, noticing an incomplete application and telling the applicant what is left, an agent can carry.
See how AI agents work
Institutional knowledge for staff: Sheba Enterprise Platform
Access is agreed after an evaluation, one organisation at a time. It suits a university whose staff need regulations and internal procedures within their roles.
See Sheba Enterprise Platform
Custom work on the student information system
Built to the same standards as Sheba’s products, where the work has to read from or write to the student information system.
Explore custom AI engineering

What the admissions work draws on

ChatSheba across WhatsApp, Telegram and the web.
An AI agent that captures the student profile and escalates exceptions.
A knowledge base of faculties and fee schedules.
Custom engineering for student systems.

Integration and data boundaries

Per-deployment data boundaries and a bilingual knowledge base that stays current as programs and fees change. Human escalation is built in for decision-stage cases. The agent is configured to your programs, not a template.

PDPL-aware by design
On-prem and regulated-residency paths
Per-deployment data boundaries
Human escalation as a control

Security and data boundaries

Composite industry example

A private university runs an Arabic AI admissions agent across WhatsApp and a web widget. It guides students through faculty selection, provides fees, installment plans, and document requirements, and explains deadlines and entrance exams during peak cycles. Complex cases — transfer credits, accreditation, unusual installments — escalate to admissions staff with full conversation context. Prospective-student profiles are captured at first touch, and the team focuses on decision-stage conversations.

Routing student inquiries to knowledge, admissions and support

How this pattern is set up

Channels: WhatsApp, Telegram, and a web chat widget
Systems it reads and writes: the student information system and fee schedules
Escalates to: admissions staff on transfer and accreditation cases

Part of 30+ production deployments across 14+ industries.

See the deployment pattern

FAQ

Common questions

Talk to a Sheba specialist about education.

Discuss your use case