Format: Group coaching with 1-5 or up to 1-10 participants

Coaching Models Can Use: Solution-Focused Coaching Model, GROW Coaching Model, OSKAR Coaching Model, CLEAR Coaching Model, AOR Coaching Model, and/or FUEL Coaching Model

Why: To help founders leverage AI to enhance their sales and marketing strategies, improve customer experience, and optimize business processes.

Who Should Join: Founders looking to boost their sales, marketing efforts, and customer experience while streamlining operations using AI.

Who Qualifies to Join:

• Founders with knowledge of their current sales, marketing, and customer service processes.
• Founders who have identified specific areas for improvement in sales, marketing, CX, or processes.
• Founders willing to adopt new strategies and implement AI-driven changes.

The Benefit: Founders will gain insights into effective AI applications in sales techniques, advanced marketing strategies, customer experience improvement, and process optimization.

The Requirements:

Assessment Before: Pre-lab survey to gauge current understanding and practices in AI applications in sales, marketing, CX, and process optimization.

Assessment After: Post-lab assessment to measure improvements and readiness to implement new AI strategies.

Difference from 16-week Program: This lab provides specialized and advanced knowledge on integrating AI into business practices, with detailed workshops and practical applications that build on the comprehensive content of the 16-week program.

Week 1: AI for Sales Optimization

• Objectives:

1. Understanding AI-driven sales funnels and customer journeys
2. Developing effective AI sales strategies

• Preparation:

1. Analyze your current sales funnel and identify areas for improvement.
2. Research AI tools and technologies that can optimize your sales process.

Week 2: AI for Advanced Marketing Strategies

• Objectives:

1. Integrating AI in traditional and digital marketing
2. Leveraging AI data for targeted marketing

• Preparation:

1. Review your current marketing strategies and performance metrics.
2. Explore case studies of successful AI-driven marketing campaigns.

Week 3: AI for Enhancing Customer Experience (CX)

• Objectives:

1. Principles of AI-enhanced customer experience
2. Mapping the AI-driven customer journey

• Preparation:

1. Gather customer feedback and identify pain points in the customer journey.
2. Research AI applications that enhance customer service and support.

Week 4: AI for Process Optimization

• Objectives:

1. Identifying inefficiencies with AI in business processes
2. AI-driven Lean and Six Sigma principles

• Preparation:

1. Document your current business processes and workflows.
2. Identify bottlenecks and areas where AI could improve efficiency.

Week 5: Integrating AI in Sales, Marketing, CX, and Process

• Objectives:

1. Aligning AI in sales, marketing, and CX efforts
2. Creating a cohesive AI strategy

• Preparation:

1. Develop a draft AI integration plan for your sales, marketing, and CX strategies.
2. Identify key performance indicators (KPIs) to measure AI effectiveness.