LY Corporation uses OpenAI in 32 different ways
In plain words
LY Corporation (LINE Yahoo) describes 32 AI use cases built with OpenAI to drive growth across its services.
What happened: 32 uses live across its services.
Source: openai.com ↗
How to do it yourself
Our suggested steps. The company didn't publish theirs.
- 1
Ask every team for tasks they'd like AI to help with; collect in one sheet.
- 2
Score each by time saved x frequency x risk.
- 3
Pilot the top 3 for two weeks each with the prompt below.
- 4
Keep what works; document the prompt and owner.
- 5
Review the backlog quarterly.
The instructions to give the AI
Paste this into ChatGPT (the free plan is fine), swap the [brackets] for your details, and test it on a few real examples.
Agent instructions (prompt)
Help me evaluate this AI use case for [business]: [describe task]. Estimate: time per week now, what AI would do, what a human still checks, risks, tools needed, a 2-week pilot plan and the success metric.
[Highlighted] = replace with your own details before you run it.
What you should get back: "Now: ~6 hrs/week. With AI: ~1.5. Savings ~$9k/yr. Risk: low. Verdict: worth a 2-week test."
Written by Quickly and Good, inspired by this case.
More detail: tools, prices and what you'll need
The company used: OpenAI models
You could use: ChatGPT Team + a simple use-case backlog in Notion or Sheets
- ChatGPT
General AI assistant: writes, summarises and answers from files you give it.
Free plan; paid plans available · Official site ↗
Prices from each tool's own pricing page, checked Oct 2026.
What you'll need
- ☐A ChatGPT or Claude account
- ☐Your own documents, templates or examples
- ☐The agent instructions (prompt)
- ☐A habit of checking every output before you use it
Can I do this myself?
Yes. You can try this today with a chat assistant and your own files.
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