How much of your week goes to copying, pasting and formatting information? For most teams I talk to, the honest answer is "way too much." Dozens of hours a week disappear into work that nobody was hired to do.
Here's the thing about using AI for productivity that gets lost in all the hype: the goal isn't to hand over your entire job. The goal is to hand over the tedious parts, so you have more time for the work only a person can do, like making decisions and building relationships.
Using AI for productivity: bracket the work, verify the result
The approach I recommend is simple. You stand at both ends of the task, and AI does the middle.
- Start with clear instructions. Tell AI exactly what you need, what sources to use and what the finished product should look like. Our 4-part prompt framework makes this step easy.
- Let AI do the heavy lifting. Research, cross-referencing and formatting are exactly the kind of jobs it handles well.
- Validate the result. Read it, check it and fix anything that's off before it goes anywhere.
That turns hours of manual work into a quick review. You're still in charge of the outcome. You just skip the grind in between.
How to use AI at work in Google Workspace
If your team already works in Google Workspace, Gemini sits right inside the tools you use every day. A few places this approach works well:
- Gmail: summarize a long thread before you reply, instead of scrolling through 30 messages.
- Docs: turn rough meeting notes into a clean, formatted summary.
- Sheets: organize messy data into a table you can actually work with.
In every case, the same rule applies. You set the task up properly, and you check the result before you rely on it.
Why the review step matters
AI is fast, but it isn't always right. Skipping the review is where people get burned: a wrong number in a report, a detail pulled from the wrong source, a summary that misses the point. The review step is what makes AI safe to use for real work. It's also what keeps you in control of quality.
Done well, this isn't about replacing anyone. It's about giving your people their time back for the work they're actually good at. Once this becomes a habit, the next step is building AI into whole processes, which we cover in From Chatbot to Coworker.
Quick recap
- Don't hand AI your whole job. Hand it the tedious parts.
- Give clear instructions at the start, and check the result at the end.
- Use AI where your work already lives, so there's nothing to copy and paste.
- Spend the time you get back on decisions and relationships.
Want help building AI habits like this into your team's daily work? Take a look at our AI enablement services.
