Personalised learning support that scales. AI tutors, assessment automation, and student services for education providers and corporate training.
Every learner has questions. Every educator has limited time. AI can bridge this gap, providing personalised support, answering questions, and handling administrative tasks so educators can focus on teaching and learners can progress faster.
Learning organisations face common pressures:
Scale: One teacher cannot give every student individual attention.
Availability: Learners need help outside classroom hours.
Diverse needs: Students learn differently and have different questions.
Administrative burden: Paperwork and routine tasks consume educator time.
Assessment load: Marking and feedback demand significant effort.
AI addresses these challenges directly.
AI enhances the learning experience:
Tutoring assistance: Answering questions, explaining concepts, providing examples.
Adaptive practice: Exercises that adjust to learner level and needs.
Instant feedback: Immediate response on work without waiting for teacher review.
Study guidance: Helping learners understand what to focus on.
Language support: Assistance for learners with different first languages.
AI learning support works best when it is grounded in your curriculum and teaching style. Instead of generic answers, the system should reference course materials, explain concepts in the way your programme teaches them, and encourage learners to show working rather than copying solutions.
AI helps with non-academic needs:
Course information: Answering questions about programmes, requirements, and options.
Application support: Guiding prospective students through application processes.
Administrative queries: Handling questions about schedules, deadlines, and procedures.
Wellbeing signposting: Directing students to support services when needed.
Career guidance: Information about opportunities and pathways.
Business learning benefits from AI:
Onboarding: Helping new employees find information and complete training.
Compliance training: Delivering and verifying required learning.
Knowledge reinforcement: Spaced repetition and practice for retention.
Just-in-time learning: Providing information when needed for tasks.
Training administration: Managing enrollments, completions, and records.
For corporate learning, the biggest gains often come from making internal training content searchable and usable. People ask questions in the flow of work; AI can surface the right policy, procedure, or module quickly, then route complex or regulated topics to the right human owner.
AI supports evaluation:
Automated grading: Scoring objective assessments instantly.
Writing feedback: Suggestions for improving written work.
Plagiarism context: Understanding AI's role in student work.
Progress tracking: Identifying learners who need additional support.
Analytics: Understanding where learners struggle and succeed.
Education AI requires particular care:
Academic integrity: Supporting learning, not replacing it.
Age-appropriate design: Different approaches for different learner ages.
Privacy protection: Safeguarding student data appropriately.
Equity considerations: Ensuring AI benefits all learners, not just some.
Transparency: Being clear about AI's role in educational processes.
We design systems that support genuine learning.
Education has specific requirements:
Integration: Working with learning management systems, student information systems, and assessment platforms.
Accessibility: Meeting educational accessibility standards.
Safeguarding: Appropriate handling for interactions with young people.
Evidence: Demonstrating educational effectiveness.
We understand these requirements and design accordingly.
Education use cases succeed when integrity and safeguarding are designed in.
Support learning, don’t replace it. Systems should encourage understanding and practice rather than shortcutting assessment.
Be explicit about acceptable use. Policies, disclosures, and guardrails reduce misuse and set expectations for learners and staff.
Design for inclusion. Accessibility, language support, and age-appropriate interactions are part of delivery, not optional extras.
Use these prompts to scope learning support responsibly.
“Which learning moments create the most demand today, and what should remain human-led?”
“How do we design AI support that improves understanding without enabling plagiarism?”
“What safeguarding, privacy, and access controls must be in place for this context?”
No. The goal is to support educators by handling routine questions and providing practice and guidance, while humans remain responsible for teaching and assessment.
Clear boundaries, design that encourages learning, and escalation to humans for assessment and sensitive cases.
Often yes. Integration improves relevance by grounding answers in your course materials and tracking progress appropriately.
Access control, data minimisation, and policies aligned to your context and obligations.
Faster learner support, improved completion and confidence, and reduced admin load—without undermining integrity.