𝐇𝐨𝐰 𝐭𝐨 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐑𝐞𝐚𝐥 𝐀𝐈 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 (𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐀𝐬𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐖𝐫𝐨𝐧𝐠 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧)

One of the mistakes I see in AI conversations is how they start.

“𝗪𝗵𝗮𝘁’𝘀 𝗿𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗿𝗼𝗹𝗲?”

Sounds logical. It’s not. If you’re opening with that, you’re off track.

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗮𝘀𝗸 𝘁𝗵𝗮𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻.

No one is going to sit there and tell you their job is repetitive — even if parts of it are.

What they hear is:
“Which part of your job isn’t valuable?”

So the conversation stalls, you get safe answers and you miss the real issues.

𝗬𝗼𝘂’𝗿𝗲 𝗮𝘀𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝘁𝗵𝗶𝗻𝗴

You’re not looking for repetition, you’re looking for friction.
• where things slow down
• where work gets stuck
• where people have to redo things
• where they’re waiting on someone else

The problem isn’t the task, it’s everything around it.

𝗪𝗵𝗮𝘁 𝘁𝗼 𝗮𝘀𝗸 𝗶𝗻𝘀𝘁𝗲𝗮𝗱

Change the conversation. Ask things like:
• Where do things tend to slow down?
• What takes longer than it should?
• Where do you have to go back and fix things?
• What do you need before you can move forward?
• Where do you spend time chasing information?
• What’s the most frustrating part of this process?

This is where the conversation opens up.

𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝘀𝘁𝗮𝗿𝘁 𝘁𝗼 𝗵𝗲𝗮𝗿

• “It depends…”
• “We have to check with…”
• “The data isn’t always right…”
• “We end up redoing this…”
• “We wait for…”

That’s the signal, that’s where the real opportunity sits.

𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗔𝗜 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀

Not in the core task, but in the gaps.
• Friction → automate or orchestrate
• Rework → validate
• Delays → trigger earlier
• Missing info → assist
• Inconsistency → standardise

That’s where you get the real value. You can start to understand where to:
• remove friction
• improve flow
• make work easier to get done

𝗙𝗶𝗻𝗮𝗹 𝘁𝗵𝗼𝘂𝗴𝗵𝘁
If your AI conversations feel flat, it’s probably not the tech. It’s the question.
Don’t start with tasks, start with friction.

That’s where the value is.