Overview
Sales organisations today operate in a highly competitive, data-rich, and fast-moving environment. Buyers are more informed, sales cycles are more complex, and sales teams are expected to deliver personalised engagement, accurate forecasting, and consistent performance. Artificial Intelligence (AI) is increasingly becoming a critical enabler in modern sales functions.
Advances in Machine Learning, Large Language Models (LLMs), and Generative AI allow sales professionals to analyse customer data, identify opportunities, personalise outreach, support negotiations, and improve forecasting accuracy. With modern AI tools, sales representatives, managers, and leaders can automate repetitive tasks, generate insights, and focus more time on high-value selling activities.
This course provides a practical, business-focused introduction to AI for sales professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on real sales use cases, ethical and responsible AI usage, and measurable revenue and productivity impact, without requiring programming skills.
Skills Covered
By the end of this course, participants will be able to:
- Understand core AI concepts and terminology relevant to sales
- Distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for sales workflows
- Apply AI tools to prospecting, lead qualification, outreach, and forecasting
- Use AI responsibly within ethical, legal, and organisational constraints
- Identify high-impact AI use cases across the sales lifecycle
- Contribute to AI adoption and sales transformation initiatives
Prerequisites
There are no prerequisites required to attend this course.
Target Audience
This course is designed for working professionals involved in sales and revenue-generating roles, including:
- Sales executives and account managers
- Business development and key account teams
- Inside sales and sales support teams
- Sales operations and revenue analytics professionals
- Pre-sales and solution consultants
- Sales managers and team leaders
- Commercial and revenue leaders
No prior AI or technical background is required.
Module 1: Understanding AI in Sales
- What Artificial Intelligence is and is not
- Relationship between:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Large Language Models
- Generative AI
- How AI systems learn from customer and sales data
- Current AI applications in sales:
- lead scoring and prioritisation
- customer segmentation and targeting
- personalised outreach and content generation
- sales forecasting and pipeline analysis
- Strengths and limitations of AI in sales environments
Module 2: AI Tools Landscape for Sales Professionals
- Overview of modern AI tools for sales:
- ChatGPT, Gemini, Copilot, Claude
- Perplexity, Grok, Manus, DeepSeek, Qwen, NotebookLM
- Understanding differences in:
- content generation vs data analysis
- reasoning quality and reliability
- customer data privacy and compliance
- Selecting the right AI tool for:
- prospect research and account preparation
- email and proposal drafting
- meeting preparation and follow-ups
- Prompt engineering fundamentals for sales use cases
Hands-On Activities
- Writing prompts for prospect research and outreach
- Generating personalised sales emails and call scripts
- Comparing AI-generated outputs across tools
Module 3: AI for Prospecting, Outreach, and Engagement
- AI-assisted prospect research and qualification
- Personalising outreach at scale using AI
- Supporting sales conversations and discovery calls
- AI-generated proposals, quotes, and presentations
- Using AI with spreadsheets:
- Excel with Copilot
- Google Sheets with Gemini
Hands-On Activities
- Creating AI-assisted outreach sequences
- Drafting customer-specific value propositions
Module 4: Responsible AI, Ethics, and Compliance in Sales
- Ethical risks of AI in sales:
- misleading or exaggerated claims
- biased targeting and discrimination
- over-automation of customer interactions
- Customer data protection and consent considerations
- Transparency and accountability in AI-assisted selling
- Human-in-the-loop sales decision-making
- Best practices for responsible AI usage in sales
Module 5: AI for Sales Forecasting and Pipeline Management
- AI concepts in sales forecasting and pipeline analysis
- Identifying risks and opportunities in the sales pipeline
- AI-assisted revenue projections and scenario planning
- Supporting sales managers with AI insights
Hands-On Activities
- Analysing pipeline data using AI
Drafting sales performance summaries
Module 6: AI for Customer Insights and Relationship Management
- Analysing customer interactions and feedback using AI
- Supporting account management and upselling strategies
- AI-assisted CRM insights and summaries
- Knowledge-based AI using internal sales documents:
- NotebookLM and Manus
Hands-On Activities
- Generating customer insights using AI
- Designing AI-assisted account review summaries
Module 7: AI-Enabled Workflow Automation in Sales
- Designing AI-supported sales workflows:
- leads → opportunities → proposals → follow-ups
- Integrating AI tools into daily sales operations
- Improving productivity, consistency, and response time
- Measuring performance, conversion rates, and revenue impact
Exercise
- Designing an AI-supported sales workflow
Module 8: AI Strategy for Sales Leaders and Decision-Makers
- Identifying high-impact AI opportunities in sales organisations
- Build vs buy vs partner considerations
- Developing an AI adoption roadmap for sales teams
- Establishing AI usage guidelines and governance
- Preparing sales teams for AI-enabled selling
Workshop
- Drafting a high-level AI strategy for a sales organisation
Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
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