Applied Generative AI for Sales, Marketing and Customer Engagement

Disclaimer:
This training topic is currently available for in-house sessions only, with a minimum requirement of 5 participants. Public program sessions are not available at the moment. The public program date will be announced when scheduled.

Course Overview for Applied Generative AI for Sales, Marketing and Customer Engagement

This intensive, highly specialized program equips revenue-generating and customer-facing teams with the strategic frameworks required to deploy Generative AI. Moving beyond generic productivity, this course focuses on utilizing AI as a force multiplier for market penetration, pipeline acceleration, and client retention. Participants will learn to engineer highly persuasive prompts, automate the generation of personalized marketing collateral, systematically handle sales objections, and elevate the quality of customer support communications. The curriculum emphasizes measurable commercial outcomes, ensuring that every AI application is tethered to a distinct business justification.

Methodology

Delivered as an interactive, physical workshop, this program utilizes a “campaign-to-execution” methodology. Theoretical lectures on AI capabilities are deliberately concise, immediately giving way to live demonstrations and intensive, hands-on laboratories. Participants will utilize their own existing customer personas, product matrices, and historical campaign data to build functional AI workflows. The environment fosters collaborative refinement, where teams critique AI-generated outputs for brand alignment, empathy, and persuasive efficacy.

Who Should Attend: Sales Managers, Marketing Professionals, Customer Success Leads, and Client-Facing Executives

Course Content

Module 1: The AI-Enhanced Revenue Engine

  • The evolution of commercial AI: Moving from predictive analytics to generative content
  • Mapping AI touchpoints across the modern customer journey (Awareness to Advocacy)
  • Evaluating the capabilities and limitations of Large Language Models (LLMs) in client-facing scenarios
  • The imperative of human oversight: Maintaining brand voice, factual accuracy, and empathetic engagement

Module 2: Advanced Prompting for Persuasion and Tone

  • Deconstructing the architecture of a high-converting prompt
  • The “Role and Persona” framework: Directing AI to emulate specific industry experts, behavioural psychologists, or target demographics
  • Fine-tuning tone, syntax, and cadence to perfectly match established brand guidelines
  • Interactive Exercise: Reverse-engineering successful human-written copy into a repeatable AI prompt template

Module 3: Hyper-Personalised Marketing at Scale

  • Accelerating the content supply chain: Drafting blogs, whitepapers, and social media sequences
  • Generating high-variance A/B testing copy for digital advertisements and landing pages
  • SEO and Keyword Integration: Instructing AI to seamlessly weave search intent into organic content
  • Synthesizing market research, competitor analysis, and trend reports into actionable marketing briefs

Module 4: Sales Velocity and Deal Acceleration

  • The intelligent outbound strategy: Crafting hyper-personalised cold outreach emails based on prospect data
  • Strategic meeting preparation: Using AI to analyse a prospect’s digital footprint and generate targeted discovery questions
  • Dynamic objection handling: Building customised rebuttals and value propositions in real-time
  • Automating the structuring of complex commercial proposals and executive summaries
  • Guided Practice Session: Participants input a current, stalled deal and use AI to formulate a reactivation strategy.

Module 5: Next-Generation Customer Engagement & Support

  • Drafting empathetic, precise, and compliant responses to complex customer escalations
  • Sentiment Analysis: Utilising AI to rapidly interpret the emotional tone of customer feedback or survey data
  • Generating dynamic FAQ repositories and intelligent self-service knowledge base articles
  • Standardising cross-cultural communications and localising client updates

Module 6: Staged Implementation and Commercial Governance

  • Moving from experimentation to standardised execution: Managing AI adoption by distinct, measurable stages
  • Establishing clear business justifications and ROI metrics for new AI workflows
  • Protecting intellectual property and customer data: Navigating compliance within commercial AI use
  • Capstone Laboratory: Developing a cohesive, cross-functional campaign (from initial marketing copy to sales outreach and post-sale onboarding) utilising entirely AI-assisted frameworks

 

Training Outcomes

Upon successful conclusion of this program, participants will possess the competency to:

  • Deploy Generative AI strategically across the entire customer lifecycle to drive revenue and retention.
  • Engineer sophisticated prompts that consistently generate persuasive, brand-aligned commercial copy.
  • Drastically reduce the time-to-market for marketing campaigns, content generation, and proposal drafting.
  • Utilise AI to formulate highly personalised sales outreach and navigate complex buyer objections.
  • Elevate the quality and responsiveness of customer support channels while reducing manual drafting time.
  • Implement new AI workflows methodically, ensuring continuous alignment with overriding business objectives and strict data security protocols.

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