More Practical AI Use Cases: Research, Spreadsheets, Support, and Ops
Websites and marketing get most of the attention, but some of the biggest everyday time savings from AI come from unglamorous work: researching a question, fixing a spreadsheet, answering the same customer question for the hundredth time, or writing down how a process works. This page covers five of those workflows.
1. Research with sources you can trust
AI tools are fast at gathering and summarizing information, and they can also confidently state things that aren’t true. The fix is to make sources part of the request and then actually check them.
Prompt (based on the “Sourced summary” template in the Prompt Library):
Research [question].
Give me a summary in under 300 words, then a list of sources.
For every factual claim, cite the source it came from.
Prefer primary sources (official sites, original studies, government pages).
If sources disagree or you can't find a source, say so.
Then verify:
- Open every link. Does it exist? Does it actually say what the summary claims?
- Check dates. Is the information current?
- For anything important (money, health, legal), find a second independent source.
Tools that can search the web, such as Grok, are better for current topics than a model working only from its training data, but they still need checking. More on why in Why AI Makes Things Up.
2. Spreadsheet formulas, explained
Spreadsheet formulas are a sweet spot for AI: the task is precise, and you can test the answer immediately.
I'm using [Google Sheets / Excel].
Column A has order dates, column B has customer names, column C has order totals.
I want: total sales per customer for the current month.
Give me the formula, explain each part in plain English,
and tell me what could break it (blank cells, text in number columns, etc.).
Always test with sample data where you already know the right answer. Make a small copy of your sheet with five rows, work out the answer by hand, and confirm the formula matches before using it on real data.
A useful follow-up: “Explain this formula someone else wrote: [paste].” This is a great way to understand inherited spreadsheets.
3. A customer support reply library
If you answer the same questions repeatedly, build a reply library once and reuse it.
Steps:
- List your 10–20 most common questions. Your inbox will tell you.
- Write a short tone guide: how formal you are, words you use or avoid, how you sign off.
- Ask AI to draft a reply for each:
Using this tone guide: [paste]
Write a reusable reply for this customer question: [question].
Include placeholders like [CUSTOMER NAME] and [ORDER NUMBER].
Keep it under 120 words. Answer the question in the first sentence.
Only use these facts about our policy: [paste policy].
- Review each reply against your actual policies. AI will happily invent a refund window if you don’t give it one.
- Store them where your team can find them (a shared doc or your help desk’s saved replies).
Keep a human in the loop. Let AI draft personalized replies from the library, but have a person approve before sending, at least until you’ve seen weeks of reliable output.
4. SOPs and documentation
Most small businesses run on knowledge in one person’s head. AI makes it much easier to get that knowledge onto paper.
Workflow:
- Do the task once while talking through it, recording your voice or screen, or just jotting rough notes.
- Transcribe it (many tools do this) or paste your notes.
- Use the “Turn a repeated task into a checklist” template:
Turn these notes into a standard operating procedure.
Include: purpose, who does it, how often, tools needed,
numbered steps, common mistakes, and a definition of done.
Mark anything unclear as [CHECK WITH OWNER].
[paste notes]
- Have someone else follow the SOP without help. Where they get stuck, the document needs fixing.
Good SOPs are also the foundation for automation. See Automating Repetitive Tasks with AI.
5. AI agents for recurring tasks
Once a task has a solid SOP, you can consider handing it to an AI agent: a tool that takes actions like browsing, editing files, and running steps across apps, rather than just chatting. Grok Bot is one example.
Good agent candidates:
- Pulling numbers from several places into a weekly report.
- Checking a website for broken links and drafting a fix list.
- Organizing downloaded files or research notes.
Ground rules: give a clear definition of done, the least access needed, and require approval before anything is sent, deleted, published, or purchased. The “Agent task brief” template in the Prompt Library bakes these in. For background, read What Is an AI Agent?.
Quick wins to try this week
| Task | Time to set up | Prompt to start with |
|---|---|---|
| Explain a confusing spreadsheet | 5 minutes | “Explain this formula in plain English” |
| Summarize a long PDF or report | 5 minutes | “Summarize in 5 bullets, then list open questions” |
| Draft replies to your 5 most common emails | 30 minutes | Support reply prompt above |
| Write one SOP | 30 minutes | SOP prompt above |
| Plan a research question | 10 minutes | Sourced summary prompt above |
Checklist
- Sources requested and opened for every research task
- Formulas tested on sample data with known answers
- Support replies checked against real policies
- No customer personal data pasted into AI tools
- SOP tested by someone other than the author
- Agents given limited access and approval steps