Mark 500 papers against your rubric.
Students submit as normal. Papers go to the marking agent, are evaluated against your rubric and held for lecturer approval.
- Ready for reviewPaper 1 · Strategic case
- FlaggedLow confidence
Build, configure and deploy AI agents connected to your LMS — exam markers, course summarisers, AI tutors and more. No AI infrastructure required. Bring your own OpenAI key.

How it works
Two parts working together: the Agent Builder where staff configure agents, and the Agent Executor that runs them inside your LMS.
Exam marker, revision tutor, summariser, mock exam engine and more.
Agent BuilderLecture notes, rubrics and course documents per agent.
Knowledge baseSubmissions and sessions start in the LMS.
LMSThe executor runs the workflow on your OpenAI key.
Agent ExecutorHigh-stakes results wait in a review queue.
Approval queueWhat you can build
Students submit as normal. Papers go to the marking agent, are evaluated against your rubric and held for lecturer approval.
Pre-built types for every educational workflow, or build a fully custom agent.
Guided setup, per-agent scope controls and dry-run testing.
A plugin that picks up student events in your LMS and runs the configured agent.
24/7 tutors grounded in the materials you upload — not generic internet answers.
Updates take effect immediately, without redeploying the agent.
Every approval, edit and rejection logged — ready for moderation and accreditation.
Spend and usage by agent, module and period — token costs direct, no markup.
Your data, your key
Production AI runs inside your LMS plugin, on your own OpenAI key.
Submissions, course files and answer papers never leave your institution's server.
Choose the model per agent; you pay OpenAI directly with full visibility.
Require lecturer approval before results reach students, configurable per agent.
Kampus Sense keeps agent configurations, run statuses and token usage logs.
Customer story
FAQ
Still have questions? Talk to our team
Any OpenAI model accessible via your API key — including GPT-4o, GPT-4o mini, and future models as they become available. You choose the model per agent, allowing cost and performance trade-offs per use case.
No. All production AI execution happens inside your Wave plugin. Student submissions, course files, and answer papers never leave your institution's server. Kampus Sense only stores metadata — agent configurations, run statuses, and token usage logs.
No. Agents are configured through a guided, no-code wizard. Your IT team handles the one-time Wave plugin installation. After that, lecturers configure and manage agents entirely through the browser interface.
Both modes are supported. You can require lecturer approval before results are visible to students, or enable fully automated release — configurable per agent. Low-confidence submissions are always flagged for optional manual review.
Kampus Sense charges a platform fee based on your subscription plan. OpenAI API costs are entirely separate — you pay OpenAI directly, with full visibility via the built-in cost and token usage dashboard.
Works better together
A complete learning management system for delivering courses, live classes, assessments, and professional exams across web and mobile.
Agents run inside your Wave courses.The complete student information system for institutions that do not want to compromise.
Student records your agents can work with.A white-label mobile app that puts the full campus experience in every student's pocket — courses, classes, attendance, payments, and messaging on iOS and Android.
Students reach tutors from the app.Add AI agents to your institution without replacing your LMS or exposing student data.
The complete campus management suite for educational institutions — SIS, LMS, mobile app, and AI agents in one connected platform.
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