AI in learning

AI in training and development

AI in training and development speeds up course building, gives each learner guidance when they need it, and takes manual work off administrators. For many teams, the deciding question is governance: which model runs, what data it sees, and who approves it.

Four steps to bringing AI into a learning program

How teams move from AI experiments to AI their security team signs off on.

Settle governance before the pilot

When AI tools need security approval first

Find out which models your company approves, what data can leave your systems, and who signs off. Bring those answers to every vendor conversation.

Get content ready for AI

When content is scattered across files and folders

AI answers are only as good as the content behind them. Retire outdated courses, tag what remains, and keep one current version of each.

Start where the manual work is heaviest

When course backlogs keep growing

Course drafting, translation, quiz writing, and reporting are common first uses. Pick one, measure the hours saved, and expand from there.

Put answers where learners already ask

When learners ask ChatGPT instead of the academy

Learners already use AI assistants for quick answers. Make academy content findable by those assistants, and give learners answers in context inside the platform.

Questions teams ask about AI in learning

Short answers, each with the resource that covers it in full.

Talk to us

Can AI features run on our approved model?

It depends on the platform. Ask each vendor which models they use, whether you can bring your own, and where your data is processed and stored.

AI You Can Trust: How Learning Platforms Must Build Governance Into the Foundation

How does an AI tool get through security review?

Bring the vendor’s documentation on data handling, model providers, and access controls to the first meeting with security. Reviews move faster when the scope of the pilot is written down.

9 Questions Learning Leaders Should Ask About AI in Their EdTech Stack

Where does AI save the most time in course building?

First drafts, translations, quiz questions, and summaries of source material. Designers still set the outcome and review the result.

A Starter Guide to AI-Powered LMS Content Creation

Will AI replace instructional designers?

No. It takes over drafting and formatting so designers spend more time on outcomes, practice, and review, the parts that need their judgment.

Treat AI Like a Teammate, Not a Tool

How customers are using AI

Teams running education on Intellum.

All case studies

Accenture

How Accenture is putting AI to work in education.

AI in learning design

Where AI adds speed to course design without losing creativity.

Everything on AI in learning

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