What we automate
We build AI for education systems that integrate with the operational reality of Australian education businesses. Common workflows we automate end-to-end:
- Student and parent communication automation
- Course content authoring and update assistance
- Enrollment, attendance, and compliance workflows
- Assessment marking assistance
- TEQSA/ASQA compliance reporting
- Student service inquiry triage
- Course recommendation and pathway planning
Built for the realities of education
TEQSA and ASQA compliance has strict reporting requirements.
Student data privacy obligations apply strictly under AU privacy law.
Academic integrity concerns around AI use require careful policy and tooling.
Integration with student management systems (TechnologyOne, Wisenet, aXcelerate) varies in quality.
Why work with us on AI for education
AI for education work that respects Australian higher-ed and VET compliance frameworks, integrates with the student management systems actually used in AU, and addresses academic integrity head-on rather than ignoring it.
Where most AI in education goes wrong
Most AU education AI engagements get scoped against student-facing chat or assessment automation without integration to the SIS, LMS, and student-support systems that actually drive operational outcomes for the institution. The fragmented patterns: AI for admissions enquiry handling that doesn't reach the CRM; assessment-feedback AI without integration to the grade book and academic-integrity workflows; "AI for student support" that bypasses the student-services case-management process; AI deployed for academic purposes without faculty consultation; AI workflows that ignore the AU regulatory landscape for higher education and VET. Education has long planning cycles and strong faculty governance. AI that ignores both gets quietly rejected.
Systems we integrate against
Education AI engagements typically integrate against Banner, TechnologyOne Student Management, Synergetic, Edumate, Sentral for schools; Canvas, Moodle, Blackboard for LMS; Salesforce Education Cloud, HEMS, custom CRMs for admissions; Library Services Platforms (Alma, Sierra); research-management systems (Pure, Symplectic); academic integrity platforms (Turnitin); ID and access management; finance systems (TechOne, SAP). The integration work is rarely standard because educational data models differ significantly between schools, VET providers, and universities.
If your stack isn't listed above, reach out anyway. The systems vary by industry but the integration patterns don't. We can usually work with whatever you're running. Tell us your stack.
Regulatory and compliance landscape
AU education operates under federal regulation through TEQSA for higher education and ASQA for VET, state-based education department oversight for schools, the Privacy Act with specific provisions for student data, the Education Services for Overseas Students Act and the National Code for ESOS providers, child protection legislation across all states, the Working with Children Check regime, the Australian Qualifications Framework, and Higher Education Standards Framework. For research-active institutions, the ARC and NHMRC research integrity frameworks apply. We design AI deployments with explicit attention to student-data privacy and the academic integrity obligations that AI in assessment can create.
Operational outcomes we move
Defensible outcomes we have moved on education engagements: admissions enquiry response time reduced; student-support case routing accelerated; assessment-feedback drafting time compressed while preserving academic-integrity oversight; faculty administrative load reduced through agent-assisted document handling; research-grant evidence aggregation accelerated; compliance-evidence overhead lowered for TEQSA or ASQA reviews. The metric is staff time returned to teaching, advising, and research, plus student-experience scores.
Common deployment patterns
Common deployment patterns for AU education: agent-assisted admissions enquiry handling grounded in your existing course handbook and admissions criteria; student-support triage agents that route to the right service under case-management oversight; assessment-feedback drafting agents that produce draft feedback for faculty to review and approve (not autonomously grade); document-Q&A over institutional policy and procedure documents; research-grant evidence aggregation agents.
Related Bedstone services
Education providers typically pair this work with Bedstone OS as an internal AI workspace, custom learning and student systems, and security audits for student-data systems. Or look at AI agents for admissions, enquiry handling, and academic operations.
How we engage
Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.
Common questions about AI for education
Can you integrate with our SMS (Student Management System)?
Yes. We integrate with the major AU SMS platforms (TechnologyOne, Wisenet, aXcelerate, etc.). For older systems we work with middleware.
How do you handle academic integrity concerns around AI?
Honestly and proactively. We help build the policy framework and tooling that lets institutions use AI for the right things (administration, content authoring) while protecting assessment integrity.
Do you work with universities, TAFEs, or private RTOs?
All three. The scope differs but the regulatory awareness and engineering approach are consistent.
Is this eligible for R&D Tax Incentive?
Most novel agentic AI and integration work qualifies for commercial providers; not generally available for government-funded institutions.
Across Australia
We work with education operators across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.