Course Details
A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. Learners take home a sales prompt library, a sales assistant (Custom GPT/Gem), follow-up email and proposal templates, and a PDPA checklist.
Day 1: AI and the Sales Process and Customer Follow-up
Section 1: How AI Changes Sales Work
- An overview of generative AI in the sales process and what changes in daily work
- AI use cases in sales: prospecting, preparation, follow-up, proposals and analysis
- Choosing the right AI tool for each sales stage
- AI limits and a verification mindset before using data with customers
Section 2: Effective Prompts for Salespeople
- A good prompt structure for sales: role, target customer, context and message goal
- Setting a communication tone that fits the brand and each customer group
- Using examples to keep message style consistent
- Building a sales team prompt library for recurring work
Section 3: Lead Research and Qualification with AI
- Using AI to research and summarize prospects and target companies
- Lead qualification and prioritization
- Preparing data and talking points before meeting a customer (pre-call research)
- Workshop: research and summarize a target customer with sales opening points
Section 4: Writing Follow-up Emails and Messages with AI
- Writing cold emails and follow-up emails
- Personalizing messages to each customer at scale
- Writing follow-up messages across channels such as email, LINE and chat, and designing a follow-up sequence
- Workshop: write a follow-up email set for a sample deal with AI
Section 5: Objection Handling and Preparing Sales Conversations
- Using AI to prepare answers for common objections
- Preparing pitch scripts and selling points that match customer needs
- Practicing sales conversations with AI (roleplay)
- Workshop: build an objection-response set and sales script for the learner's product
Day 2: Proposals, Pipeline, Assistants and Setup
Section 6: Creating Proposals and Quotes with AI
- Using AI to draft proposals and tailor them to customer needs
- Producing quotes and sales documents professionally and quickly
- Summarizing selling points and value proposition clearly
- Checking numbers and terms before sending to the customer
Section 7: Meeting Summaries and CRM Data
- Using AI to summarize meetings and capture key points (meeting notes)
- Extracting data and next actions from conversations to record in the CRM
- Organizing customer data and contact history
- Cautions on accuracy and privacy of customer data
Section 8: Pipeline Analysis and Sales Forecasting
- Using AI to analyze the pipeline and deal status
- Prioritizing deals and finding those most likely to close
- Basic sales forecasting from available data
- Workshop: analyze a sample pipeline and prioritize the deals to focus on
Section 9: Sales Assistants and Automation
- Building a Custom GPT or Gem as an on-brand sales assistant
- Embedding product, price and sales playbook for consistent results shared across the team
- Automation with n8n, such as follow-up reminders or weekly deal summaries
- Workshop: build one sales assistant for a task the team repeats daily
Section 10: PDPA and Safe Use of Customer Data
- Customer data and PDPA: what can and cannot go into AI
- Practices for safely collecting and using customer data
- Cautions when using AI with sales and sensitive data
- Setting the sales team's AI usage guideline
Section 11: Capstone Project and Real-world Adoption
- Task: set up an end-to-end AI toolkit for the learner's sales process, from prospecting and follow-up to proposals and a sales assistant
- Present the work and get feedback from the instructor and peers
- A first-30-days adoption plan and setting up AI use for the whole sales team