AI for your work

What AI can actually do for your team, what to watch, and how it works. Pick an area or search to grab what you need.

What AI can doNew? The basics

Good to know before you start

When people say “AI” right now they almost always mean large language models, the technology behind tools like ChatGPT, Claude, Gemini, and Copilot. It produces the most plausible text, not the most true: a fluent assistant with a shaky grip on facts, not an oracle. It is strong on form and weak on truth, so use it for the shape of the work and keep a person responsible for the substance.

What it is good and bad at

Good at

  • Drafting
  • Rewording and reformatting
  • Summarizing and searching long documents
  • Translation and language help
  • Structured, repetitive text work
  • Being a thinking partner

Bad at, or unreliable at

  • Facts, figures, and citations
  • Anything requiring your specific context
  • Judgment and accountability
  • Knowing what it does not know

How to bring it in

  1. 1.Start small, on something low-risk.
  2. 2.Get one thing genuinely working.
  3. 3.Weave it into a workflow, with checks at each step.
  4. 4.Make it a normal, governed part of the work.

Growing means adding checks, not removing them.

The safeguards

Before AI touches anything sensitive: data privacy, accuracy, tool tier, cost, and governance. And a plain list of when not to use it at all.

Safeguards and when not to

Where this has actually happened

Real, attributed examples, plus the honest adoption picture: almost everyone has tried AI, and very few organizations use it in an organized, governed way.

Examples and research