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Free Course Β· Module 4

AI for Sales &
Customer Service

Learn how to use AI to write better outreach, qualify leads faster, respond to customers in minutes, and turn more enquiries into paying clients.

πŸ“„ 12 slides ⏱ ~40 min 🎯 Intermediate 🌍 English

Created by Anna Lauber Β· Lucala Group

FREE
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By the end of this course you'll know:

βœ“
Write cold emails that get replies β€” using AI to personalise at scale
βœ“
Build follow-up sequences that run automatically without feeling robotic
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Qualify leads in minutes using AI to score and prioritise your pipeline
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Set up a simple FAQ chatbot that handles 60–80% of routine enquiries
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Respond to customers 5Γ— faster without losing the human touch
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Handle negative reviews professionally and turn complaints into loyalty

AI for Sales & Customer Service β€” 12 Slides

Click through all 12 slides. Use the arrows or keyboard ← β†’ to navigate.

Slide 1 of 12
Module 4 Β· Introduction
AI for Sales & Customer Service
AI doesn't replace great sales and service β€” it removes the slow, repetitive parts so you can focus on what actually closes deals and builds loyalty.
  • 12 slides covering outreach, follow-up, lead qualification, and customer care
  • Practical frameworks you can apply immediately β€” no tech background needed
  • Goal: more closed deals, happier customers, fewer hours spent on admin
πŸ’‘ Businesses that use AI in their sales process close deals 30% faster on average β€” not by being less human, but by being more responsive.
Slide 2 Β· The Opportunity
AI's Role in Modern Sales

❌ Before AI

  • Hours writing individual emails
  • Leads going cold while you're busy
  • Guessing who's worth following up
  • Customer questions piling up overnight

βœ… With AI

  • Personalised emails in 2 minutes
  • Automated follow-up that feels human
  • AI scores and ranks your leads
  • Instant responses 24/7 via chatbot
Real result: A small consultancy added AI-assisted outreach and cut their time-to-first-reply from 4 hours to 12 minutes β€” their close rate improved by 22%.
Slide 3 Β· Outreach
Writing Better Cold Emails with AI
  • AI can personalise each email using the prospect's name, company, industry, and recent news
  • Prompt: "Write a cold email to [Name] at [Company], who runs a [industry] business. Our offer: [describe offer]. Keep it under 100 words, conversational, no buzzwords."
  • Add a single clear CTA β€” one question or one link, not both
  • Test 2–3 subject lines per batch using AI to suggest variations
πŸ’‘ The best cold emails feel like they were written by a person who did their research β€” AI makes this possible at scale without losing that personal touch.
Slide 4 Β· Follow-Up
Follow-Up Sequences That Convert
  • Day 1: Initial outreach β€” short, personalised, one clear ask
  • Day 3: Value-add follow-up β€” share a tip, case study, or quick win relevant to them
  • Day 7: Soft bump β€” "Just checking in β€” happy to answer any questions"
  • Day 14: Break-up email β€” "I'll stop bothering you, but if things change…"
  • Use Zapier or your CRM to trigger these automatically based on last reply date
πŸ’‘ 80% of sales happen after the 5th touchpoint. Most people give up after 1–2. A simple automated sequence closes this gap without extra effort.
Slide 5 Β· Lead Qualification
Qualifying Leads Faster with AI
  • Paste a lead's LinkedIn, website, or enquiry message into ChatGPT and ask it to score fit (1–10) based on your ideal client profile
  • Prompt: "Given this information about [lead], rate their fit for [your offer] on a scale of 1–10. List reasons for and against. Suggest 3 questions to ask in the first call."
  • Focus your energy on 8–10 scored leads, not on chasing everyone equally
  • Use a simple CRM (even Notion or Google Sheets) to track AI scores and outcomes
Practical tip: Create a Google Form for inbound enquiries. Feed responses into ChatGPT automatically via Zapier to get an instant lead score before you even reply.
Slide 6 Β· Customer Service
Building a Simple FAQ Chatbot
  • Step 1: Write out your 15–20 most common questions and ideal answers
  • Step 2: Use a tool like Tidio, Intercom, or Chatbase to create your chatbot (no coding needed)
  • Step 3: Feed in your FAQ content β€” the AI learns from it automatically
  • Step 4: Add a fallback: if the bot doesn't know, collect the email and alert you
  • Result: 60–80% of routine questions handled instantly, 24/7, without you lifting a finger
πŸ’‘ The biggest chatbot mistake: trying to answer everything. Start with your top 15 FAQs and expand from there.
Slide 7 Β· Speed
Responding to Customers 5Γ— Faster
  • Speed of reply is one of the top factors in customer satisfaction β€” even a holding reply wins trust
  • Use AI to draft replies to common enquiries β€” you review and send in 30 seconds instead of 5 minutes
  • Prompt: "Write a warm, professional reply to this customer message: [paste message]. We are [your business]. Keep it under 80 words."
  • Set up an after-hours auto-response that sounds human: "Great question β€” I'll have a full answer for you by [time tomorrow]"
Key insight: Customers who receive a reply within 1 hour are 7Γ— more likely to convert than those who wait longer. AI makes the 1-hour standard achievable for solo operators.
Slide 8 Β· Reputation
Handling Negative Reviews with AI
  • Never ignore a negative review β€” a thoughtful response is read by future customers too
  • Prompt: "Write a professional, empathetic response to this negative Google review: [paste review]. Acknowledge the issue, don't make excuses, and invite them to resolve it privately."
  • Set up an automation: new Google review β†’ alert to your phone β†’ AI draft reply generated instantly
  • Respond to all reviews (positive and negative) within 24 hours as a standard practice
πŸ’‘ 88% of consumers say a business that responds to reviews makes them more likely to choose them. AI removes the barrier of finding the right words under pressure.
Slide 9 Β· Balance
Keeping the Personal Touch
  • AI writes the draft β€” you are the final voice. Always review before sending high-stakes messages.
  • Personalise the first line of every AI-generated email manually β€” one specific detail goes a long way
  • Keep a "signature style" by giving AI your tone: "Write in a friendly but professional tone β€” direct, no fluff, as if talking to a business owner you respect"
  • Use AI for volume and speed β€” reserve your personal time for relationship-building moments
πŸ’‘ The goal is not to sound like AI. The goal is to sound like your best self, consistently, at scale.
Slide 10 Β· Data
Using AI to Understand Your Customers
  • Paste customer feedback or reviews into ChatGPT: "Summarise the top 5 themes from these 30 reviews. What do customers love? What frustrates them?"
  • Analyse your email replies: which emails got responses? AI can spot patterns you'd miss manually
  • Use AI to segment your customer list: "Based on this list of clients and their industries, suggest 3 personas I should target differently"
  • Monthly habit: review your last 20 customer interactions with AI to spot what's working
Slide 11 Β· Measurement
Measuring Your Sales AI Impact
  • Response time: Average time from enquiry to first reply (target: under 1 hour)
  • Lead-to-call rate: % of leads that book a call (AI follow-up should increase this)
  • Close rate: % of calls that convert to clients (better-qualified leads = higher close rate)
  • Review response rate: Are you responding to 100% of reviews within 24 hours?
  • Time saved: Track how many minutes per day you spend on email β€” aim to cut it by 50%
πŸ’‘ Measure 2–3 metrics consistently. Don't track everything β€” track what you can act on.
Slide 12 Β· Your Action Plan
Your Next Steps
  • This week: Write your ideal cold email template and ask ChatGPT to improve it. Send 10 personalised versions.
  • This month: Set up a 4-step follow-up sequence in your CRM or Zapier
  • This month: Write your top 15 FAQs and set up a basic chatbot on your website
  • Bonus: Set up an alert so every new Google review triggers an AI-drafted response for your review

What's inside β€” 12 slides

1
Introduction & Overview
What AI means for sales and customer service today
~2 min
2
AI's Role in Modern Sales
Before vs. after: what changes when you add AI to your pipeline
~4 min
3
Writing Better Cold Emails
Frameworks, prompts, and subject line strategies that get replies
~4 min
4
Follow-Up Sequences That Convert
A 4-touch automated sequence that feels personal, not robotic
~4 min
5
Qualifying Leads with AI
Score and prioritise your pipeline in minutes, not hours
~4 min
6
Building a Simple FAQ Chatbot
Handle 60–80% of enquiries automatically β€” setup in under 1 hour
~5 min
7
Responding to Customers 5Γ— Faster
AI-drafted replies, after-hours automation, and speed strategies
~4 min
8–12
Reviews, Data & Your Action Plan
Handling negative reviews, reading customer data, measuring impact
~13 min

Ready to put AI to work in your business?

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