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From student attendance and academic intervention to accreditation audits and faculty workload — Teky AI gives Brunei institutions the clarity to act early, not late.
Cohort 412· at-risk 3
Cohort 402· at-risk 14
Cohort 394
Cohort 380
// Sector challenges
Attendance and grade signals exist, but intervention often arrives after the semester is already lost. By the time a name reaches the counsellor, the recoverable weeks have already gone.
Evidence packs for accreditation bodies consume weeks of faculty time — assembling PLOs, syllabi, student feedback and outcome maps that already exist in the system, just not in one place.
Marking, course-outline updates and committee work crowd out the research and teaching that faculty were actually hired for. Admin swallows the productive part of the calendar.
// Teky AI · Academic board
This semester · by department
Cohorts scanned live — the intervention list reaches the counsellor while the recovery window is still open.
Next month · self-service
Every artefact the auditor asks for, rendered from the live records. No 3-week faculty sprint.
This term · by department
Where the load actually sits — teaching, admin, committee, research. Reallocation suggestions surface where relief is possible.
// AI capabilities
Surfaces at-risk students with intervention recommendations tailored to each counsellor's caseload — while the recoverable weeks are still open.
Attendance, GPA trends, NPS, enrolment forecasting and graduate employability — surfaced weekly.
Lab equipment, library, IT and facilities tenders — drafted from prior submissions.
Admissions, leave, timetable changes and examination boards — one workflow across every registrar and department office.
// Local context · Brunei
Universities, polytechnics, religious institutes, and Brunei's network of secondary and primary schools — Teky AI ships with templates aligned to national education-authority and accreditation-body expectations. The evidence pack the auditor wants renders on demand.
// FAQ
Yes. We read SIS records via API or scheduled data-drops (Banner, PeopleSoft, Openedu and local systems). The AI never writes back without a rule you approve.
Role-based access enforced by department, programme and record type. Every AI response cites the source. Data stays within the Malaysia- or Singapore-based infrastructure you nominate.
Templates align to Brunei accreditation-body frameworks and international standards (ABET, EFMD, etc). New frameworks can be onboarded within a sprint.
A scoped attendance + at-risk pilot ships in 6–8 weeks. Full deployment across attendance, accreditation, workload and admissions typically takes 4–6 months.
Yes. AI drafts are always a suggestion. Faculty accept, edit or reject each one; every override is logged for the accreditation audit trail.
// Get started
Book a demo — attendance, at-risk, accreditation, faculty. Configured to your programme handbook on day one.
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