Course QA Audits that actually happen every term

Stop spending half a day checking one course manually. AI Faculty Assistant runs a full quality audit against your institution's own standards in under 30 minutes, with every issue flagged and ready for your review.

See it in action

Download the template

Why
it
matters

From half a day to 30 minutes

A full course QA audit against your institution's own uploaded standards, including rubric mismatches, broken links, empty modules, and date conflicts, used to take 3 to 4 hours per course. The agent does it in under 30 minutes, with every issue documented and prioritised.

Time saved

Your standards, not a generic checklist

AI Faculty Assistant reads your institution's own uploaded QA framework, not a default template. Every finding maps to your specific criteria, so the audit is actually useful to your team and defensible in accreditation reviews.

Institutional fit

Catch issues before students see them

Rubric mismatches, missing rubrics, and date conflicts are invisible until a student is already affected. Running a QA audit at the start of every term surfaces every issue while there is still time to fix it, not after the first complaint arrives.

Risk reduction

How to run a QA audit

Open AI Faculty Assistant inside your LMS

The agent is available directly inside Canvas, Brightspace, Moodle, or Blackboard. No separate login, no tab-switching.

Ask for a quality audit in plain language

Type your request as you would ask a colleague. Specify the course, the checks you need, and reference your institutional QA standards if relevant.

Review the structured findings report

The agent returns a prioritised list of issues: critical, warning, and pass. Each finding includes the specific location and recommended action.

Confirm before anything changes

The agent can fix issues it finds, but only with your explicit approval on each change. You stay in control of every write action.

The intelligence
behind the audit

AI Faculty Assistant reads directly from your LMS data in real time — gradebook, rubric configurations, module structure, assignment settings, and embedded external links. No CSV export, no data request, no manual prep required. When you upload your institution's QA standards document, the agent uses it as the framework for every audit, mapping findings to your specific criteria, not a generic template.

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Every audit interaction is logged. When you ask the agent to apply a fix, it shows you exactly what will change before executing — you confirm, and the change is applied. Nothing happens without your explicit approval.

See it in action

Download the template

What the audit checks

Rubric-to-gradebook point mismatches
Missing rubrics on gradeable assignments
Empty or unpopulated modules
Date conflicts and out-of-sequence due dates
Broken external links in course content
Alignment with your uploaded institutional QA standards
Past-due items and unresolved date errors

What to ask

These are real prompts instructional designers use with AI Faculty Assistant. Copy them directly, or adjust to match your course names and standards.

Human approval on every write action. Every interaction logged.

AI Faculty Assistant reads your LMS data and surfaces findings. When you ask it to apply a fix, it shows you exactly what will change before anything executes. You confirm. It acts. Every action is logged. Your institution stays in control of its own data throughout.

Ready to get started?

Book a 20-minute walkthrough. We will run a real audit on a demo course and show you exactly what your team would see.

Book a demo