Instructional Designer

LMS Admin

Course QA audits that actually happen every term

Stop spending half a day checking one course manually. AI Ops 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.

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Why
it
matters

You get your audit time back

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 saving

Students encounter a course that is ready

Rubric mismatches, missing rubrics, and out-of-sequence due dates are invisible until a student is already affected. Running a quality audit before the term opens surfaces every one of those issues while there is still time to fix them. Students start the term with accurate grade weights, correct rubric attachments, and working links.

Risk reduction

Your standards, mapped to every finding

AI Ops Assistant reads your institution's own uploaded QA framework when running the audit. Every finding maps to your specific criteria, not a default checklist. Audit output is immediately usable by your team and carries weight in accreditation conversations where evidence of consistent, standards-based review matters.

Scaling operations

How to run a course QA audit with AI

Open AI Ops Assistant inside your LMS

The agent is available directly inside your LMS as a floating chat button. No separate login, no tab-switching.

Type your audit request in plain language

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

Review the structured findings report

The agent returns a prioritized list of issues: critical, warning, and pass. Each finding includes the specific location within the course(s) and recommended action.

Confirm before anything changes

The agent can fix issues it finds, but only with your explicit approval on each change. If you ask the agent to apply a fix, it shows you exactly what will change before executing. You review and confirm each action. Nothing is applied without your explicit approval, and every interaction is logged.

How it works

AI Ops Assistant reads directly from your LMS in real time, including rubric configurations, gradebook settings, module structure, assignment dates, and embedded external links. No CSV export or data request is needed before running an audit.

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When you upload your institution's QA standards document, the agent uses it as the evaluation framework for every audit it runs. Findings reference your specific criteria, so the output reflects your team's actual standards rather than a generic template. This makes audit reports immediately usable by your instructional design team and defensible in accreditation reviews.

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Findings are returned organized by severity, with critical issues surfaced first. If you choose to act on a finding, the agent shows you a full preview of the proposed change before anything executes. You confirm, and the change is applied. Every action is recorded in a full audit log your institution can access at any time.

See it in action

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Key features

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

What to ask

These are real prompts you can use with LearnWise AI Assistants. Copy them directly, or adjust to match your context and standards.

Single course full audit

prompt

"Run a quality audit on NURS 301. Check for rubric-to-gradebook point mismatches, broken external links, empty modules, date conflicts, and missing rubrics. Use our uploaded QA framework."

Returns a prioritised findings report within minutes. Every issue is categorised as critical, warning, or pass. Typical audit covers a 14-week course in under 30 minutes.

Institution-wide rubric mismatch audit

prompt

"Scan all active courses this term. Flag any where the rubric total points do not match the gradebook item point value."

Runs across every active course in a single request. Surfaces every mismatch before students are graded on an incorrect point value. Currently no practical alternative to opening each course individually.

Stale content detection

prompt

"Scan the entire School of Business course catalogue. Flag any content referencing dates before 2024, broken external links, or topics not updated in more than two terms."

Useful at the start of a review cycle or before an accreditation visit. Surfaces outdated content across an entire school without opening a single course shell manually.

Cross-section consistency check

prompt

"Compare all 8 sections of ENG 101 this term. Are they using the same rubrics, point totals, and module structure? Flag any that deviate."

No practical way to do this today without opening every course shell individually. The agent surfaces inconsistencies across sections in seconds, flagging exactly where sections diverge.

Human approval on every write action. Every interaction logged.

AI Ops Assistant surfaces findings and proposes actions. It does not change anything in your LMS without your explicit confirmation. When you ask it to apply a fix, it shows you a full preview of what will change. You confirm. It acts. Every action is recorded in a full audit log your institution can access at any time. It matches the LMS permission sets.

Ready to get started?

Book a 30-minute walkthrough. We will run a real audit on a demo course and show you exactly what your team would see.

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Course QA audits that actually happen every term

Whyitmatters

How to run a course QA audit with AI

How it works

What to ask

Human approval on every write action. Every interaction logged.

Ready to get started?

Why
it
matters