How to build an AI automation agency for beginners in 2024

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AI Summary

Summary: Building an AI Automation Agency in 30 Days

Week 1: Market Research

• Objective: Understand local business needs for AI and digital automation.
• Key Actions:
  • Conduct market research.
  • Identify business pain points in content creation, listings, review management, social media, websites, and workflows.
  • Explore AI tools like chat GPT, image generators, and automation integrations.
  • Engage with business owners to discover their AI tool usage and automation desires.

Week 2: Prospecting

• Objective: Find potential customers and initiate conversations.
• Key Actions:
  • Develop a sales playbook.
  • Adopt an “outside-in” approach, focusing on aligning services with business needs.
  • Set up essential tools: CRM, website, and sales intelligence tools.
  • Utilize personal networks, cold calling, and local events for lead generation.
  • Prepare a talk track for engaging with business owners.

Week 3: Pitching

• Objective: Meet with prospects to secure sales.
• Key Actions:
  • Use storytelling and the “Why Change” framework to engage prospects.
  • Highlight the benefits of AI and the risks of not adopting it.
  • Prepare and rehearse pitches, including case studies and demonstrations.

Week 4: Pricing and Closing

• Objective: Determine pricing strategies and close deals.
• Key Actions:
  • Consider reseller fees, consulting/retainer fees, and value-added/project-based fees.
  • Aim for a 40-60% margin on AI tools.
  • Offer free trials or break-even costs to initial clients.
  • Plan for business expenses, payment acceptance, and tax setup.
  • Establish KPIs, proof of performance, and regular client check-ins.

Final Thoughts

• Recap: The course covered product development, community presence, storytelling pitches, and pricing strategies.
• Engagement: Encourages community feedback for future content and materials.

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