Requests

Merge the separate feedback and chat launchers into one entry point when both are enabled.

Pro-active messaging informs the users with relevant, timely information and increases interaction and adoption of the assistant.

Delegated management of sub-organizations

Route queries to the right specialized assistant automatically, e.g. IT support, student services, course help from a single hub assistant.

Assign admin permissions per assistant so department admins can manage their own assistants without org-wide access.

We’re updating the end-user experience to meet WCAG 2.2 AA accessibility standards—making sure our platform is inclusive and easy to use for everyone

Allow workflows to call external API endpoints so institutions can connect their own applications as tools.

Adding data from external sources will allow LearnWise to provide a more personalized experience for individual users

By adding an MS Teams API integration, live data within a course assistant can be leveraged, providing a broader scope and higher quality experience for students within the course.

When a conversation is escalated, the full message history from the LearnWise inbox will automatically be included in the support ticket. This gives support agents complete context, helping them resolve issues more efficiently and accurately.

Track who changed what in an assistant's configuration and when.

Add new H5P content types to cover more learning styles and self-study use cases.

Enable teachers to customize their course assistant with safe, low-effort options while maintaining institutional-level controls for consistency and compliance.

Provide pre-built assistant templates so institutions don't have to start from scratch.

Create a reusable library of workflow and custom instruction patterns that can be inserted into any assistant.

Let teachers control when and how AI-generated feedback is delivered and synced, instead of it being admin-only.

Give teachers an assistant that can pull grades, engagement data, and course info directly from the LMS.

Let the assistant monitor student behavior and take proactive actions across channels without waiting for a student to ask.

Send notifications via SMS, email, or WhatsApp — not just in-app.

Collect student satisfaction ratings inside the chat and show trends on the dashboard.

Expose insights data through an API so institutions can pull it into their own reporting tools.

Allow the assistant to chain multiple tools and refine its answers across steps, instead of responding in a single pass.

Create a standardized framework for building new integrations with institutional systems (SIS, CRM, library, etc.).

Display knowledge base images inline in responses instead of linking out.

Play knowledge base videos directly in chat responses instead of linking out.

Implement inline, clickable citations embedded within AI-generated responses, allowing users to view source material seamlessly as part of the answer flow

Add triggers to flows based on user role, page URL, or time on page so flows activate in the right context.