Module 3 · Client Management & CRM
Prompt it: better client care today
One idea carries this whole lesson: the leap from “AI writes my emails” to real leverage is context. Give the model the thread, the notes, the history — and the quality of what comes back tracks the quality of what you fed it. Every prompt below is built on that move.
Module 0’s data rules matter most in this pillar, because everything below involves client information. Before you paste client details into any AI tool, check its data settings and prefer a business tier with training on your data turned off. Strip names and identifying details when they’re not needed — initials work fine for a prep brief. And if you’re in a regulated profession — law, health, finance — treat client confidentiality as a hard line: when in doubt, leave it out.
Walk in caught up: the pre-meeting briefing
This is the highest-value prompt in the module. Before any client meeting, gather whatever you have — old emails, call notes, the intake form — and ask for a one-page brief. Two minutes of reading, and you walk in as the professional who remembers everything.
Copy this prompt
I have a meeting with a client coming up and I want to walk in fully caught up. Below is everything I have on them — notes, past emails, anything relevant. Build me a one-page prep brief with four sections: 1. Who they are and what they care about, in three or four lines. 2. Where things stand — what we last discussed, what was decided, and what's still open. 3. What they're likely to ask me, based on what's unresolved. 4. Three smart things I could raise that would show them I've been paying attention. Keep it tight enough to read in two minutes. Flag anything that looks like a commitment I made and haven't delivered on yet. My business: [YOUR BUSINESS TYPE — for example: "residential landscape design studio"] The client and the meeting: [WHO AND WHY — for example: "the Hendersons, mid-project check-in on their backyard renovation"] Here is everything I have (messy is fine): [PASTE YOUR NOTES, EMAILS, AND HISTORY]
Follow-ups that don’t sound like mail-merge
The check-in email you keep meaning to send is a two-minute prompt: tell the AI what you did for the client, one detail you remember about them, and the tone you want — warm, brief, not salesy. “We finished their kitchen remodel in the spring; ask how it’s holding up” produces a note that reads like you wrote it, because the remembering — the part that makes it personal — came from you. Ask for it under 120 words; short reads as genuine.
Onboarding: the first two weeks, designed once
A new client’s first two weeks set the tone for the whole relationship, and it’s the same two weeks every time — which makes it perfect AI territory. Three drafts to ask for, one sitting each:
- Day 0
Welcome email
What happens next, in plain terms. - Day 2–3
The ask
What you need from them, and exactly how to send it. - Week 1
How we communicate
Channels, hours, and response times. - Week 2
The what-to-expect one-pager
Answers the first ten questions before they're asked.
- A three-email welcome sequence. Email one: welcome, and what happens next. Email two: what you need from them and how to send it. Email three: how you communicate and how to reach you. Tell the AI who you are and what clients worry about at the start — it drafts, you make it yours.
- Your intake form. Describe your business and ask: “what should I ask every new client up front so I never have to ask twice?” It will suggest questions you’ve been asking mid-project for years.
- A what-to-expect one-pager. The welcome packet that answers the first ten questions before they’re asked — timelines, communication, billing, the works.
The hard conversations
A price increase, a boundary, a mistake you have to own — these are the messages owners put off for weeks, and the delay costs more than the conversation. AI is a remarkably good rehearsal partner: it gives you the calm version while you’re still in the heated one.
Copy this prompt
Help me handle a hard client conversation. I want to be firm, warm, and done apologizing for the business needing to work. The situation: [WHAT'S GOING ON — for example: "a good four-year client keeps adding small requests outside our agreed scope, and I need to start charging for them"] The outcome I need: [YOUR GOAL — for example: "new requests get quoted separately, and the relationship stays warm"] What I'm worried about: [YOUR FEAR — for example: "I don't want this to read as greedy after four good years"] Draft three things: 1. An email version — short, human, direct. No corporate stiffness, no over-apologizing. 2. A three-bullet script I can glance at if they call to talk it through. 3. The version of this message I should NOT send — so I can see where the line is. Acknowledge the relationship, state the change plainly, and end on what stays the same.
Ask for the review at the right moment
There’s a moment in every engagement when the client is happiest — the case closes, the project ships, the problem disappears. That’s when the review request goes out, and AI will draft it in both flavors: a short email and an even shorter text, each naming one specific thing the client could mention and neither sounding needy. Save the good version as a template and the ask becomes a habit instead of an awkwardness.
- Run the pre-meeting briefing prompt before your next client meeting — it’s the fastest win in this module.
- Draft your onboarding sequence and intake form once this week; reuse them for every client after.
- Before pasting client details anywhere, check the tool’s data settings — and strip names where initials will do.
Watch this step
Here's the follow-up-email move on screen: prompting ChatGPT for a personalised client reply, one of this lesson's headline use cases. It’s from an independent creator — credited below, so go give them a follow.
How To Write Follow Up Emails With ChatGPT - Tutorial
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