Campus digital assistants
A face-to-face digital representative on a kiosk, branch screen or the web.
What this fixes
New students need the same orientation information at the same moment, and the service desk becomes the bottleneck in the first two weeks of every term.
An avatar-led agent that greets, verifies, explains and routes, on branch kiosks, hospital and hotel receptions, government service counters and web sessions. It combines speech, an on-screen persona and document handling, and hands to a live human video call when the case needs one.
Orientation and wayfinding
Service requests
Accessible by design
Escalation to student services
Where it earns its place
How we build it
Foundation check
Before any buildWe inspect the systems, the data behind them and the quality of the records this capability will depend on, then write down what has to be fixed before anything is built.
Narrow first release
First releaseOne workflow, one team, real traffic, measured against the baseline we captured before we started.
Controls and evaluation
Runs in parallelGuardrails, approval gates, evaluation sets, logging and the evidence pack your auditor and your regulator will ask for.
Scale and hand over
After sign-offAdditional workflows, sites or languages, then runbooks and training so your team can operate it without us.
What has to be right first
- Service catalogue and eligibility rules written down and owned.
- Queue and appointment systems reachable by API.
- A lawful basis and retention rule for any biometric or video capture.
Guardrails and KPIs
A human owns every consequential decision
Agents draft, route and execute reversible steps. Anything that moves money, changes a record of consequence or affects a person's rights stops at a named human approver with the reasoning attached.
Every action is logged and replayable
Inputs, retrieved context, model version, output and the human decision are written to an immutable log, so an auditor can reconstruct any single interaction months later.
Data stays where your regulator requires
In-country, in-region or on-premise deployment, with the model portfolio right-sized to the workload instead of routing everything to a frontier endpoint abroad.
Accuracy is monitored, not assumed
A held-out evaluation set runs on every model or prompt change, with drift alerts and a documented rollback path when quality moves.
KPIs it moves
- • Walk-in wait time
- • Self-service completion
- • Counter load per staff member
- • Visitor satisfaction
Integrations
Proof in this sector
Proof in this sector
Anonymised clientsUniversity data warehouse over the student information system, with Tableau reporting
Public university in the GulfGeofenced attendance capture on 1,200 faculty devices
Large Islamic university in the GulfStudent retention risk modelling and advisor workflow
University in the NordicsTimetable and space optimisation
Education group in Australia