A tour of popular Workplace AI tools
This page is part of The Workplace AI Strategy Guide
This page is part of a step-by-step guide to Workplace AI strategy, which I'm currently in the process of writing. I'm creating it like an interactive online book. The full table of contents is on the left (or use the menu if you're on a mobile device).
What's this guide all about? Check out the intro or full table of contents.
Want to stay updated when this guide is updated or things are added? There's an RSS feed specifically for strategy guide content. RSS feed for guide updates .
This page is incomplete!
This page is part of my step-by-step guide to Workplace AI, which I'm in the process of writing. I'm doing it in the open, which allows people to see it and provide feedback early. However many of the pages are just initial brain dumps, bullets, random notes, and/or incomplete.
There's an overview of what I'm trying to accomplish on the "What is this site about?" page.
Want to stay updated pages get major updates or things are added? I have a news feed specifically for guide content here: RSS feed for guide updates .
—Brian (July 2024)
There are lots of guides, reviews, evaluations, and sites dedicated to providing information about the various AI-power workplace tools today. This chapter is not meant to be a comprehensive “how to” guide for each. Instead, I want to take a look at some of the more popular tools through the lens of Workplace AI, since that’s not an angle that other resources cover. For me, this is looking at what the impact a tool could have on your workplace, and what issues you need to understand and think about as your employees use it. (Again, whether they use it with or without your knowledge or support.)
I’ll look at the following tools:
- OpenAI ChatGPT
- Microsoft Copilot(s)
- Apple Intelligence
- Google Gemini
- Zapier
- Perplexity
- Mistral
- Rewind.ai
For each of these, I want to look at the following:
- What is the goal of the company? What’s their world view? (Are they aligned to business, or directly to end users?)
- What training data do they use?
- Do they have any “adults” at the company making decisions that are appropriate for business use? Or are they just a bunch of 25-year-olds racing to become millionaires?
We can also look at the lifecycle of how each of these technologies or products is used within a company:
- Employees get access to a new technology
- Company must understand it
- Company needs to understand the risk
- Company needs to understand the opportunity
There are a few categories of tools and technologies for workplace AI. We’ll divide them into two categories:
- Tools employees can find and use on their own, without the company’s approval.
- Tools the company needs to provide
Understanding “Generative AI”
(should this go here or move?)
I lot of these tools broadly fall into the “Generative AI” technology category, so we should probably define that here first since it applies to many of them.
- Understand the “gen” in GenAI
- GenAI is not only used to “generate” new content
- GenAI can edit, change style/tone
- GenAI tools today work with text, images, video, audio, meetings, etc.
Maybe also broadly look at other types of tools? (Or link to other sites that do that, we really want to stay within the lens of Workplace AI and not try to define all AI for all people.)