Viewing Follow-Up — AI workflow for Malaysian SMEs
Viewing Follow-Up turns viewing notes into follow-up message. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Viewing Follow-Up
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me follow-up message. Input from my side: viewing notes. This is viewing follow-up for property agencies, property managers, renovators and related service SMEs, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “viewing notes” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
The task is analysis: viewing follow-up. Material: viewing notes. Give me the five most important findings, ranked. Say what each does to the business. Build follow-up message from what you find. Close with three actions that improve offer rate.
Replace “viewing notes” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Review and upgrade my viewing follow-up. Input: viewing notes, plus what we currently produce. Tell me where it loses accuracy, clarity or conversion. Remove work that adds nothing. Hand back a better follow-up message, with each improvement mapped as before-issue, change, expected offer rate movement.
Replace “viewing notes” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me an automation design for viewing follow-up. Input trigger: viewing notes. Final output: follow-up message. Tools available: CRM, listing portals, WhatsApp Business, email, document storage. Cover the trigger, required fields, AI instruction, decision logic, human checkpoints, fallback path, stored data and offer rate measurement. Nothing a small SME cannot run on its own.
Replace “viewing notes” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- Viewing notes
- You get back
- Follow-up message
- Moves
- Offer rate
- Run it
- Daily/Weekly
- Priority
- P4
- Works with
- CRM, listing portals, WhatsApp Business, email, document storage
- Tool guides
- WhatsApp Business, Property portals
Is this for you?
- Pick it for
- Property agencies, property managers, renovators and related service SMEs. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at growth. Watch one number: offer rate.
- Reach for it when
- Most SMEs run it daily to weekly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: viewing notes.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “viewing notes” in the prompt with your real data, then run it.
- 04Review the output and get a human sign-off — this one touches money, staff or compliance.
- 05Track offer rate. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- listing portals
- Any tool you already use is fine.
- WhatsApp Business
- document storage
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- JPDP
- Pasting customer or staff records into an AI tool is a transfer of personal data. Consent, notice, retention and cross-border rules still apply when the tool is not yours.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
This workflow involves client names, contact details and property records. Under the PDPA your business stays responsible for it, and pasting it into an AI tool may be a disclosure to a third party. Replace names and numbers with initials or references first — the prompt works just as well on “Customer A”.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
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Maintained by Naven Pillai