Lost Deal Recovery — AI workflow for Malaysian SMEs
Lost Deal Recovery turns lost deal reason into re-engagement plan. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Lost Deal Recovery
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
The task is lost deal recovery. Input: lost deal reason. Output I expect: re-engagement plan. Make it work for B2B and B2C SMEs that need more qualified enquiries and faster follow-up. Short sections only. Wrap up with one next action and a version ready to paste into the workflow.
Replace “lost deal reason” 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
Analyse my lost deal recovery data. I will give you lost deal reason. Pull out the five findings that matter most. Rank or quantify them where the data allows. Explain what each one means for the business. Then produce re-engagement plan. Finish with the top three moves to lift re-opened opportunity rate.
Replace “lost deal reason” 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
Optimise an existing lost deal recovery setup. Material: lost deal reason and the current output with results. Diagnose the weaknesses first. Then deliver an improved re-engagement plan. Present changes as issue, change, expected re-opened opportunity rate effect. Skip cosmetic edits.
Replace “lost deal reason” 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 lost deal recovery. Input trigger: lost deal reason. Final output: re-engagement plan. Tools available: CRM, website forms, email, WhatsApp Business. Cover the trigger, required fields, AI instruction, decision logic, human checkpoints, fallback path, stored data and re-opened opportunity rate measurement. Nothing a small SME cannot run on its own.
Replace “lost deal reason” 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
- Lost deal reason
- You get back
- Re-engagement plan
- Moves
- Re-opened opportunity rate
- Run it
- Daily
- Priority
- P0
- Works with
- CRM, website forms, email, WhatsApp Business
- Tool guides
- WhatsApp Business
Is this for you?
- Pick it for
- B2B and B2C SMEs that need more qualified enquiries and faster follow-up. 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: re-opened opportunity rate.
- Reach for it when
- Most SMEs run it daily. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: lost deal reason.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “lost deal reason” in the prompt with your real data, then run it.
- 04Read the output against what you already know and correct anything the model guessed at.
- 05Track re-opened opportunity 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.
- website forms
- WhatsApp Business
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 prospect names, company details and contact information. 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.
Related workflows
- Cold OutreachTurns prospect profile and offer into personalised outreach message.
- Discovery QuestionsTurns lead context into discovery call question set.
- Inbound Lead ResponseTurns website or social enquiry into fast contextual first response.
- Lead QualificationTurns new enquiry details into qualified leads and next action.
All sales & lead generation workflows: Sales & Lead Generation
Maintained by Naven Pillai