Resource pillar · Agentic LMS

Agentic LMS: a guide to governed course creation

An agentic LMS connects course-development tasks through specialised agents. Governance determines what those agents may do and who approves the result.

GCLS Academy — Assessments

Create a governed healthcare course with Perceptors AI

  1. Define

    Identify learners, intended outcomes and an approved source package. Assign accountable course owners.

  2. Design

    Organise the curriculum, learning activities and assessment plan. Review the proposed structure.

  3. Develop

    Draft learning material and assessments with specialised agents. Check claims against sources and revise outputs.

  4. Certify

    Review the programme against the applicable GCLS certification process. Confirm issuer and recognition before making claims.

  5. Launch

    Approve the release and deliver the course. Monitor learner feedback and record subsequent changes.

Agents are not independent clinical authorities

Perceptors AI describes an agent harness that coordinates specialist agents with shared context and bounded permissions.

People retain approval over evidence, curriculum, assessments, localisation and launch. Agent output remains a draft until the required review is complete.

From source package to reviewed learning

Start with approved institutional materials and clear learning objectives. Review both generated teaching content and assessments.

An AI tutor can support learner questions using course sources. Source grounding does not eliminate incorrect or incomplete answers.

Questions to bring to an evaluation

Who owns the sources? Who approves each output? What happens when evidence changes?

  • Test a real course package rather than a generic demonstration.
  • Check assessment quality and reviewer permissions.
  • Verify required integrations, data handling and operational responsibilities.

Articles in the Agentic LMS cluster

Read the supporting articles, then return here for the wider framework.

Sources