Join The Information Lab and Alteryx for the third and final session of our Higher Education webinar series, bringing together everything from Sessions 1 and 2. You have brought workflows into the cloud, linked them into automated Plans, and turned documents and student feedback into insight. Now we look at how AI can sit on top of that foundation.
In this session, we will demonstrate how teams can connect the AI assistants they already use to Alteryx One, ask plain-language questions of their own data, and check the answers against the same trusted workflows they rely on today. We will also show how to build large language model prompts directly into Designer workflows, so that AI becomes a repeatable, automated step rather than a one-off experiment.
What we will cover / Key Takeaways:
Bring your own AI: Connecting AI assistants such as Claude and Gemini to Alteryx One through MCP, so teams can query governed data from the tools they already use.
Conversational analytics: Asking plain-language questions of your Auto Insights datasets and getting answers grounded in your institution’s own data.
Trust, but verify: Running verified Alteryx workflows to validate AI outputs, so answers are checked against the same trusted logic your teams already rely on.
AI inside your workflows: Using Alteryx’s GenAI tools to build large language model prompts directly into Designer workflows, so AI becomes a repeatable, automated step.
Tying it all together: Connecting the Plans, documents and sentiment data from Sessions 1 and 2 into one AI-ready foundation, from raw data to conversational insight.
Whether you have followed the series from the start or are joining for the AI session, you will leave with practical ideas you can take back to your institution straight away. Bring your questions, as there will be time for a live Q&A at the end.
Register now to save your place for Wednesday 9 December at 14:00 GMT, and see how your university can bring AI to its trusted data without losing control of governance.
