The module set
1. Student Study Companion Scaffolded
Students study alone outside lectures, with no on-demand help grounded in their actual course material.
- Tutor chat grounded in SFU lectures, readings and notes
- On-demand summaries, quizzes and study aids from real content
- Blended and on-campus framing, not distance education
2. Enquiry + Admissions Chatbot Landed
Prospective students ask the same admissions questions around the clock and bounce when no one answers.
- 24/7 answers on programs, fees, deadlines and entry routes
- Captures enquiries and routes warm prospects to admissions
- Already a live capability, deployable on sfu.ac.at fast
3. AI Visibility / AEO Landed - OO core
When a student asks ChatGPT or Perplexity for a psychotherapy degree in Vienna, SFU is invisible.
- Make SFU citable by AI answer engines for its program lines
- Structured content and entity signals across the 4 faculties
- This is Online Optimisers' core discipline, proven on real clients
4. Faculty Teaching Assistant Scaffolded
Faculty spend hours building quizzes, rubrics and summaries by hand for every module.
- Generate quizzes, rubrics and lecture summaries from course material
- Keeps a human in the loop - faculty review and approve
- Frees teaching time and feeds the companion's content
5. Multilingual Content + Course Localization Unclear / to-verify
A health university with German and English programs needs parity across languages without doubling the work.
- Localize content and companion responses across DE / EN
- Extend to further languages as the group grows
- Capability needs verification before any parity is promised
6. Student-Support Triage + Routing Scaffolded
Support requests pile up undifferentiated, and the urgent ones wait behind the routine.
- Classify and route incoming student questions automatically
- Resolve routine queries, escalate the ones that need a human
- Cuts response time and support load across faculties
7. Group Orchestration Layer Not Built - Branch C vision
Each new acquisition would otherwise rebuild its AI from scratch, with no shared substrate.
- Multi-tenant substrate every acquired institution plugs into
- Configure, do not rebuild - the rollup multiplier
- The architecture and roadmap, labelled as the vision, not shipped
Sequencing
The recommended pilot pair is Module 1 (Student Study Companion) and Module 3 (AI Visibility / AEO) first. One proves teaching value on SFU's real content; one proves discoverability so the right students find SFU in the first place. Both are shippable fast, both produce measurable evidence early, and together they cover the two ends of the student journey - getting found, and learning well. The remaining five modules layer on once the pilot pair has earned trust.
Cross-module loop: all seven modules feed the same learning brain. Every enquiry, every study session, every support ticket and every outcome metric circulates back into the grounded substrate, so each module makes the others sharper over time.