USE CASE 1
Course guidance
Display approved course information and admissions timetable details.
RIFE ROBOTICS APPLICATION
AI University Admissions Assistant Kiosk
Guide university visitors through institution-approved courses, admissions FAQs and campus information.
REAL RIFEExisting solution reference
SITE REVIEWApplication feasibility
PROJECT SCOPESpecifications confirmed
University Admissions AI
Illustrative RIFE application, not a claimed installation
APPLICATION
Design the workflow around the real site
University admissions teams handle repeat enquiries about courses, eligibility, application steps and campus visits. An AI assistant can provide institution-approved guidance, with clear referrals to admissions staff for decisions, exceptions and personal cases.
RIFE TECHNOLOGY IN ACTION
Watch a real RIFE demonstration
Product workflow example; not a claimed installation at this site.
PRACTICAL APPLICATIONS
Where the solution fits
Each scenario requires site-specific validation and an approved product configuration.
USE CASE 2
Admissions FAQs
Explain the institution’s published application process without assessing eligibility independently.
USE CASE 3
Open-day assistance
Support open-day visitors with approved departments and campus locations.
USE CASE 4
Campus directions
Route unusual enquiries or personal applications to trained admissions staff.
REAL PRODUCT
Choose a verified RIFE solution
Refer to the existing RIFE product family for real imagery and configuration details. This page does not invent product models, integration features or customer installations.
- Review actual product specifications
- Define the site or user journey
- Verify supported capabilities
- Confirm service and commissioning scope
SITE PLANNING
What to confirm before deployment
Admissions content must have a named university owner and update cycle. Personal details, access controls, language support and escalation should be approved before a kiosk is activated.
- Approved university course and admissions knowledge
- Privacy and consent for personal information
- Staff escalation path for exceptions and decisions
- Accessible location and multilingual testing
TECHNOLOGY IN ACTION
From requirement to an approved workflow
01
Discover
Document users, objectives and site constraints.
02
Select
Review actual RIFE products and compatibility.
03
Configure
Approve content, routes and integration scope.
04
Validate
Pilot and commission agreed workflows.
APPLICATION IDEAS
Use cases to explore
Course guidance
Display approved course information and admissions timetable details.
Admissions FAQs
Explain the institution’s published application process without assessing eligibility independently.
Open-day assistance
Support open-day visitors with approved departments and campus locations.
Campus directions
Route unusual enquiries or personal applications to trained admissions staff.
TECHNICAL REVIEW
Verify every project requirement
Capabilities, performance, runtime and integrations are confirmed for the selected solution; no values are assumed.
Existing RIFE family/ai-avatars
Deployment siteSubject to project assessment
Model and featuresConfirm against actual datasheet
Images and videosUse approved RIFE assets only
CommissioningAgreed in project scope
FAQ
Questions before you plan a deployment
Will the assistant decide student eligibility?
No. Official admissions staff and university rules determine eligibility and selection. The assistant presents approved information and referral options.
Can it answer questions about application deadlines?
Only with current institution-approved information and a defined process for updates.
Can the kiosk be used for open days?
An institution-approved assistant can be configured with event, department and visitor information suitable for a campus open day.
ENQUIRY
Discuss University Admissions AI
Share your location, required workflow and application requirements.