Your LRS Has the Data. Can AI Help You Make Sense of It?
You’re collecting xAPI data. But when someone asks, “Where are learners struggling?” or “What should we improve?”, how quickly can you find an answer?
Join Veracity’s Rob Chadwick, Jason Haag, and Tom Shaffner on Thursday, October 15, 2026, for “Using AI for xAPI Data Analysis (MCP & Insights Assistant)”, an online session in TorranceLearning’s LIT Spotlight series. We’ll explore how AI can help make learning data more accessible and useful to the people making decisions about learning and training solutions.
Spend less time writing queries and wrangling data. More time finding answers.
A Learning Record Store (LRS) can collect detailed activity from courses, videos, assessments, simulations, and other learning experiences. Making sense of that information, however, can require technical expertise that isn’t always available on your team. Veracity Learning offers two ways to put AI to work on that challenge.
Ask questions about your data with MCP. Veracity’s Model Context Protocol (MCP) capability connects compatible AI tools to your LRS so you can explore learning activity using plain language. Ask about completion rates, compare assessment results, or investigate engagement trends without manually building every query. Those conversations can also help you produce summaries, charts, and reports.
Make sense of your charts with the AI Insights Assistant. Already have a dashboard, but need help explaining what it shows? The Assistant examines individual charts and generates written observations about patterns, trends, and outliers. It provides a starting point for interpreting results and communicating them to stakeholders.
Why attend?
This session is worth a look for instructional designers, learning engineers, training managers, and anyone responsible for answering questions about learning outcomes. The goal is to make analysis more approachable, whether you’re working without a dedicated analyst or looking to support an experienced analytics team.
AI doesn’t replace good data or your judgment. It can help surface observations, but your team still needs to check the findings, understand the context, and decide what action to take.
Join us online on October 15 and bring the questions you wish your learning data could answer.
Register for “Using AI for xAPI Data Analysis (MCP & Insights Assistant).”
Registration is free! Just click the button below: