Faculty AI assistant
A faculty AI assistant reduces the administrative load on teaching staff. It drafts lesson plans, question banks and rubrics aligned to your curriculum, answers attendance and grading queries from the SIS, summarises research literature, and explains internal policies on leave, procurement and academic processes — giving faculty back hours each week for teaching and research.
6h
of administrative time saved per faculty each week
Consistent
assessment quality across departments
Earlier
identification of at-risk students
The problem today
- Faculty spend a large share of their week on administration rather than teaching.
- Assessment and lesson material is rebuilt from scratch every semester.
- Internal policy answers require chasing multiple departments.
Who it is for
Education teams running university/college who want the faculties journey automated end-to-end.
The agent ships pre-trained on education workflows, then is grounded on your own products, policies and systems — deployed on web, app, WhatsApp and voice with full audit logging and human handover.
How it works
Ground
The assistant is trained on your curriculum, policies and academic calendar.
Create
Lesson plans, question banks and rubrics drafted to your outcome framework.
Query
Attendance, grade and scheduling data retrieved from the SIS on request.
Support
Research summarisation and administrative policy answers on demand.
What the agent does
Course material
Lesson plans, slides outlines, assignments and rubrics per learning outcome.
Assessment design
Question banks by difficulty, Bloom level and topic coverage.
Class insight
Attendance trends, at-risk student flags and grade distribution summaries.
Research & admin
Literature summaries, citation help and internal policy answers.
Frequently asked questions
Is generated material aligned to our curriculum?
Yes — output is grounded on your syllabus, outcome framework and approved reference material.
Can it see student performance data?
With SIS integration it summarises attendance and grade data for the faculty's own classes only.
Does it help with research?
It summarises literature, drafts abstracts and formats citations, with human review expected.
Can it run privately on campus?
Yes, an offline LLM deployment can run entirely within campus infrastructure.
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