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Before starting with LINEBOT. Preparations for AI implementation.

Starting next week, we will finally begin building the LINEBOT (= our new AI, "Arai-san").
But before that, there are preparations we need to make as seniors.
Just like when welcoming a new staff member, if we don't set up the environment first, I think it will lead to wasted idle time or cause confusion.

So this time, I have compiled a checklist of preparations actually made before AI implementation.
I organized this from the perspective of "doing this will make implementation smoother," so I think it will be helpful for those who are also considering BOT implementation.

Preparation checklist + what was actually done

Checklist of preparations actually made before AI implementation

1. Checking for gaps in the flow

It's impossible to just dump everything on a new hire and say "please handle it all," right? They will definitely stumble somewhere. Below are examples of "gaps" I anticipated so that Arai-san, the LINEBOT, wouldn't end up in that situation.

  • Multiple questions mixed in a long sentence... might result in unanswered questions

  • Only an attachment is sent... might not be able to read it

  • No information in the FAQ to refer to... might not be able to provide an accurate answer

So, I wrote down rules for how to behave in exceptional cases.

Rules for handling exceptions in the flow

Even if it's not perfect, having minimum standards for "what to do when in trouble" provides a sense of security.

2. Initial FAQ setup

It's unreasonable to throw a new hire into the field without giving them a textbook.
I picked out frequently asked questions and made them the initial FAQ.

  • "When will the delivery be?"

  • "Where can I check the invoice?"

  • "How do I perform a re-delivery?"

Even just this ensures that "Arai-san can answer immediately from the first day."

3. Slack notification design

Arai-san will signal, "I answered up to this point, but this is impossible."

I set up a two-tiered notification system.

Slack notification design using a two-tiered approach

I focused on the balance of "being able to see everything, but only getting notified about things that require action."

4. Approval flow

When Arai-san suggests, "Can I add this answer to the FAQ?", who gives the go-ahead? If this isn't decided, the answers won't get updated.
Regarding that, we decided to set a weekly time to review FAQ candidates and designate a responsible team. The idea is that a mention will be sent to the team on Slack saying, "Please approve this."

5. Draft of operational rules

Questions not in the FAQ must be forwarded to Slack -> The person in charge replies -> Use actions like pressing a dedicated stamp as a trigger to add it to FAQ candidates if necessary.
Reviewing FAQ candidates will be a weekly check.

Just deciding to "review it once a week for now" significantly reduces hesitation in operations.

Summary

AI implementation is not something that "automatically becomes convenient once you start."
Just like when welcoming a new staff member, setting up the work environment first is the most important thing.

Prepare as a senior so you don't panic after Arai-san arrives.
I feel that this extra effort prevents confusion after implementation and becomes the foundation for smoothly running improvements.

After this, so that Arai-san can start working, I plan to finish setting up a simple flow in n8n and verifying connectivity (which is like "preparing a desk" in a real office) before finally having her start working in earnest.


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みね村|違和感をほどく (^^)