AI Use Case 003 - Definitions & Glossary

But what does that actually mean?

Breaking down barriers with an AI powered glossary….

In projects and consultancy, you’re often working with teams that bring diverse backgrounds, knowledge, and experiences to the table. While this diversity can be a huge strength, it can also lead to confusion—especially when it comes to terminology, abbreviations, and the shorthand we take for granted.

As a consultant, I make it a point to define acronyms the first time I use them, but let’s be honest—not everyone is this considerate. That’s why on every project I’ve been part of, I’ve insisted on maintaining a comprehensive glossary of terms.

A shared glossary aligns team members on language, a vital tool for onboarding new people, bringing them up to speed quickly and helping avoid those awkward “what does that mean?” moments.

Where AI truly shines is it can automatically identify key terms, acronyms, and jargon from your project documents, emails, meeting notes, and even transcripts. It doesn’t just pull out the words—it can suggest definitions, identify context, and update your glossary as the project evolves.

There’s no longer any excuse for not having a project glossary when AI makes it so effortless to create and maintain. If you want to save time, reduce miscommunication, and keep your team on the same page—this is an ANB (absolute no-brainer 🤪).