Course & catalogue administration
Creating, maintaining, retiring and tagging content; managing enrolment rules, cohorts and mandatory assignments; keeping the catalogue accurate so that compliance reporting means something.
Singapore (Group HQ) · Hong Kong · Mainland China
Most organisations do not need another platform. They need the administrative weight of learning taken off their team, under a service level they can rely on.
Cyberwisdom Group's managed learning services — the group's digital business process outsourcing offering for learning operations — takes on the day-to-day running of an organisation's learning operation. A dedicated team works remotely under an agreed service level, covering course, catalogue and training record administration, learner support and helpdesk handling, reporting packs and compliance documentation, and delivery under standardised service levels. The capability also extends into managed learning and AI agent outsourcing, allowing the group to operate both the human learning operation and the agent-driven elements of a learning estate on the client's behalf.
The point of outsourcing learning operations is not cost. It is that the people inside your organisation can be doing the work that needs them, rather than administering a platform.
Creating, maintaining, retiring and tagging content; managing enrolment rules, cohorts and mandatory assignments; keeping the catalogue accurate so that compliance reporting means something.
Maintaining accurate learner records, evidence and completion status across systems — including the reconciliation that consumes the most manual effort.
First-line support for learners and managers, under agreed service levels. A programme that is technically fine but poorly supported simply loses its audience.
Regular reporting packs, CPD and compliance documentation, audit preparation and the follow-up that turns a report into a decision.
Managed services fail when the service level is vague and the governance is informal. Ours is defined up front.
| Detail | |
|---|---|
| Team | A dedicated named team working remotely, with defined scope, capacity and continuity arrangements |
| Service levels | Agreed, measured and reported — response and resolution targets by request type, with escalation paths |
| Reporting | Scheduled reporting packs, exception reporting and a regular service review against the agreed scope |
| Governance | A named service manager on both sides, with a documented escalation path and a quarterly scope review |
| Security | Role-based access, least privilege, confidentiality obligations and any additional client requirements reflected in the agreement |
| Transfer | Knowledge transfer is planned in from the beginning, so the service can be brought in-house when that becomes the right decision |
As learning estates gain agents, so does the operational surface. Cyberwisdom operates both.
Managed operation of AI agents within the learning estate — monitoring runs, escalating exceptions, maintaining evaluation sets and keeping the underlying context current.
Agents grounded in a learning estate are only as good as that estate's freshness. The managed team keeps both the content and the context accurate.
Designing and running the point where a learner, a manager or an agent hands work to a human — and making sure the human has what they need to act.
Managed learning is right when the learning operation is necessary but not differentiating, and the internal team is better deployed elsewhere.