Introducing The AI Ops Assistant: An Agentic AI Built for Every Role Inside Your LMS

The agent layer in higher education has arrived faster than most institutions expected. In the space of twelve months, the question has shifted from whether AI belongs inside the LMS to which AI layer actually works there, for whom, and under what governance conditions.

Most of what has been released so far answers part of that question: for example, a single-platform agent that handles a handful of instructor tasks, a chatbot that searches course content, or a standalone tool that automates one workflow well and leaves the rest untouched. All these solutions are useful in isolation, but they do not lay a foundation for long-term, institutional AI governance.

Last week, LearnWise launched AI Ops Assistant at the ASU+GSV Summit in San Diego. This blog covers what the assistant is, what it can do, how it works, and who it is for.

What The AI Ops Assistant is

The AI Ops Assistant is a conversational AI agent that operates natively inside the LMS/VLE. It gives every role at a higher education institution, from the newest adjunct to the provost's office, a single governed workspace to ask questions, surface institutional data, and take action across courses and programs without leaving the workflows they already use.

It runs on every major LMS platform. It also connects to approved institutional data sources beyond the LMS itself: student information systems, HR systems, accreditation frameworks, uploaded QA standards, and internal content repositories. Most importantly, every write action requires explicit human approval before anything executes. Often, AI tools can read and report, or act autonomously. Solutions like the AI Ops Assistant do both, with a human-in-the-loop checkpoint between the instruction and the outcome.

Why we built the AI Ops Assistant for every role, not only faculty

The AI Ops Assistant was built first for faculty, because faculty carry the highest administrative load relative to the support available to them. Their tasks extend well beyond the classroom: checking which students have not submitted, applying accommodations before an exam, scheduling five weeks of announcements in one session, or extending due dates across multiple sections after a schedule change. These are not edge cases: they are the weekly reality for every instructor managing a full teaching load, and every one of them can now happen through a single conversation, with a full preview before anything changes.

For adjunct and sessional academics managing multiple sections with minimal institutional support, this changes the practical reality of their work in a way that no prior tool has.

However, the AI Ops Assistant does not stop at the classroom. The same infrastructure serves the full institution:

Instructional designers and LMS administrators can run course quality audits against uploaded institutional standards, execute term rollover across hundreds of course shells with realigned dates, manage bulk enrollments, and handle section operations that previously required days of manual work, all through conversation, all confirmed before execution.

Department chairs and academic leaders can ask how every section of a course is performing and get a flagged comparison in seconds, without an IT ticket or a multi-day wait for a report.

Student success advisors can identify every student struggling across two or more programs simultaneously, while there is still time to intervene rather than after the withdrawal deadline.

Compliance and QA teams can generate teaching presence reports, accreditation evidence packages, and feedback turnaround compliance data across the entire course catalog without opening a single gradebook.

In short: the AI Ops Assistant provides one interface for every role, within the same governed framework.

Why a governed framework matters in AI

The proliferation of AI tools across higher education has created a problem most institutions are only starting to name directly. Faculty and staff can connect general-purpose AI to their data with little audit trails and unclear institutional oversight. In these cases, data leaves the environment, actions happen without review, and there’s a lack of clarity as to what the AI delivers, and why.

The AI Ops Assistant replaces this fragmented reality with a single institutional layer. Access controls are configured at the institutional and role level, so the right data reaches the right people and nothing else. Every write action requires human sign-off before it executes. Every interaction is logged within a unified audit trail. The institution defines who sees what and what actions are permitted, preventing AI solutions from becoming a black box.

Additionally, as all interactions flow through the same infrastructure, something else becomes possible over time: a coherent operational picture of how the institution actually functions, where quality is drifting, and what interventions are making a measurable difference. That picture does not exist at most institutions today. It cannot, because the infrastructure to build it has not been in place. AI Ops Assistant is that infrastructure.

How AI Ops Assistant fits within the LearnWise platform

The AI Ops Assistant is one of four AI tools LearnWise makes available to higher education institutions. AI Campus Support handles student-facing queries and support workflows. AI Student Tutor delivers course-aware academic support inside the LMS. AI Feedback and Grader brings rubric-aligned, institution-specific feedback into the grading process. The AI Ops Assistant is the operational and intelligence layer serving the faculty and staff who run the institution. Each tool works as a standalone product: an institution can start with the problem it needs to solve today and add others when ready.

We believe modularity is important. Some AI products in the market bundle capabilities into platform tiers that require an institution to upgrade its entire contract to access a specific function. LearnWise works differently: one tool, one use case, activated when the institution is ready, combined with others over time if that makes sense. Institutions are not paying for a package of capabilities before knowing whether any of them address the actual problem.

For institutions already using AI Campus Support, AI Tutor, or AI Feedback and Grader, the AI Ops Assistant extends the same governed infrastructure to operational tasks and institutional intelligence without a new procurement cycle or separate data integration. The longer-term result is student-facing AI and faculty-facing AI running on the same data foundation, giving every role a connected view of what is happening across courses, programs, and student cohorts.

What is the vision of the AI Ops Assistant?

The Ops Assistant has launched with native integration across every major LMS platform. We consider this the foundation.

Higher education institutions do not run on a single system. The data that matters for real institutional decisions sits across the LMS, the SIS, the CRM, HR systems, accreditation frameworks, and internal databases. Getting a complete picture of how a program is performing, or which students are at risk, or whether the institution is meeting its compliance obligations, requires pulling from all of those sources at once.

The vision for AI Ops Assistant is to become an intelligent layer across the full institutional technology stack, a governed framework that connects every system the institution already runs and gives every role the ability to act on the complete picture, not just the slice visible from one platform. In this way, the LMS integration is the starting point.

What this means in practice

The AI Ops Assistant is available now in beta. It runs on every major LMS platform and is currently being used by institutions globally for course quality audits, term rollover operations, at-risk student identification, bulk enrollment management, and teaching presence reporting.

LearnWise launched the product at the ASU+GSV Summit on April 13th and is actively onboarding beta institutions ahead of general availability. For institutions already using LearnWise AI Chat, AI Tutor, or AI Feedback and Grader, AI Ops Assistant is the next layer of the same platform, with the same institutional data infrastructure and the same governance model extending to faculty and operations teams.

For institutions evaluating their options as the AI agent market develops, the question is not whether to adopt an agent layer in the LMS, but whether the layer you adopt works across your full stack, serves every role, and gives your institution the control it needs over how AI operates inside its systems.

Get early access to the AI Ops Assistant.

See the AI Ops Assistant in Action

On June 2nd, we hosted our open session, What Your LMS Can Now Do: Introducing the LearnWise AI Ops Assistant. We designed the session for faculty, instructional designers, LMS admins, student success and retention teams, and institutional leaders responsible for compliance, accreditation, or academic quality. During the session, we mapped out 5 use cases and demoed the AI Ops Assistant in real time:

• Run a full course quality audit against your institution's standards
• Surface students struggling across multiple courses before it's too late
• Identify disengaged students within a course and build a re-engagement plan
• Generate compliance and accreditation reports on demand
• Catch content gaps, errors, and misaligned deadlines before a course goes live

‍Each use case mapped to a specific role. Want to watch the webinar? Get access to the replay here.

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What can the AI Ops Assistant do for my role? 

Want to see what the AI Ops Assistant can do for your specific role? Join our upcoming webinars:

• Our LMS Admins, Instructional Designers & IT group demo will show how the AI Ops Assistant makes course design & operational tasks inside the LMS easier.
• Our Faculty & Academic Leadership group demo, designed for provosts, VPs, deans, and academic directors looking to evaluate institutional impact

During both sessions, we will explore role-specific use cases and open the floor to your own prompts, showing you how the AI Ops Assistant can work for you.