In Week 2, you’ll take your mapped workflow and make it more efficient, scalable, and ready for automation.

Before introducing AI, you’ll focus on improving how your process currently works - removing unnecessary steps, simplifying handoffs, and reducing friction. At the same time, you’ll evaluate whether your current tools are helping or holding you back.

This week is about strengthening your foundation, so when you do introduce automation or AI, it actually works.

You’ll learn how to:

• Apply the “Eliminate, Delegate, Automate” framework to improve workflows
• Identify steps that can be removed, simplified, or restructured
• Redesign workflows to reduce friction and improve efficiency
• Audit your current tools to identify gaps and inefficiencies
• Evaluate tools based on how well they fit your workflow
• Compare similar tools and make confident decisions
• Avoid common mistakes when selecting or switching tools

By the end of the week, you’ll have:

• A more efficient, streamlined version of your core workflow
• A clear understanding of where your current tools are helping or slowing you down
• A refined tool stack aligned with how your workflow actually runs
• A decision framework you can use to evaluate tools going forward

In Week 3, you’ll take your optimized workflow and begin applying AI strategically.

Instead of jumping into tools or automations, you’ll learn how to decide what should actually be handled by AI and what should remain human. This is where most people get it wrong, leading to broken systems, poor outputs, and wasted time.

You’ll use a structured decision-making framework to evaluate each step in your workflow and determine where AI can create real value.

You’ll also begin preparing your workflow so it’s ready for AI, defining the inputs, context, and instructions required for AI to perform effectively.

You’ll learn how to:

• Apply a structured framework to evaluate where AI fits in your workflow
• Decide which tasks should be handled by AI vs humans
• Identify where AI adds the most value and where it doesn’t
• Define the context, inputs, and outputs AI needs to perform effectively
• Structure clear instructions for both AI and human execution
• Prepare workflows so they are ready for AI-driven automation
• Avoid common mistakes that cause AI implementations to fail

By the end of the week, you’ll have:

• A clear breakdown of AI vs human responsibilities in your workflow
• AI-ready workflows with defined inputs, context, and structure
• A prioritized list of high-impact AI opportunities
• Confidence in deciding where and how to apply AI effectively
  

In Week 4, everything starts to come together.

You’ll learn how automation systems actually work behind the scenes, so you can understand how your workflows, tools, and data connect without needing to write code or become technical.

This is where most people feel overwhelmed, but instead of diving into complex tools, you’ll focus on understanding the core building blocks that every system uses.

Once you see how these pieces fit together, you’ll be able to think in workflows, understand how systems operate, and confidently navigate technical conversations or implementation decisions.

You’ll learn how to:

• Understand the core building blocks of any automation system
• Break workflows into steps, logic, and flow control
• See how tools connect and communicate with each other
• Understand how data moves through your workflows
• Learn key concepts like variables, inputs, and outputs
• Recognize how systems process and transform data
• Build a mental model of how automation actually works

By the end of the week, you’ll have:

• A clear understanding of how systems and automation work
• The ability to think in workflows, logic, and data flow
• Confidence in understanding how tools connect and interact
• The ability to communicate effectively with technical experts
• A strong foundation for designing and implementing AI-powered systems

In Week 5, you’ll bring everything together by turning your workflow into a fully designed, AI-powered system.

Now that you understand your processes, have optimized your workflows, and know how AI and systems work, you’ll start applying the right tools, automation approaches, and AI capabilities to your workflow.

Instead of focusing on how to build, you’ll focus on how to design, so you can create a clear system that connects your workflow, tools, and AI into something that actually works.

You’ll also explore different ways to implement your system depending on your goals, technical comfort level, and available resources.

You’ll learn how to:

• Apply AI and automation tools to your workflow design
• Understand where and how AI agents fit into your systems
• Explore different ways to build systems (no-code, low-code, AI-first tools, custom development)
• Compare different implementation approaches based on your needs
• Evaluate tools and platforms based on how they support your workflow
• Design systems that connect processes, tools, and AI into one cohesive workflow
• Avoid common mistakes when combining tools, automation, and AI

By the end of the week, you’ll have:

• A fully designed AI-powered workflow
• A clear understanding of how tools, automation, and AI fit together
• A defined approach for how your system can be implemented
• Confidence in choosing the right tools and setup for your needs

In Week 6, you’ll bring everything together and turn your system into a clear, actionable implementation plan.

Up to this point, you’ve mapped your workflows, optimized your processes, made decisions about where AI fits, and designed your system. Now, you’ll finalize everything into a roadmap you can actually execute.

This week is about removing any remaining uncertainty, so you know exactly what needs to be built, how it should work, and what your next steps are.

You’ll also learn how to think beyond a single workflow and create a roadmap for continued improvement

You’ll learn how to:

• Finalize your AI-powered workflow and system design
• Identify the right tools and system architecture for your specific use case
• Break your system into clear, actionable build steps
• Decide what to implement yourself vs what to delegate
• Create a structured plan for building, testing, and refining your system

By the end of the week, you’ll have:

• A complete AI implementation blueprint
• A clear roadmap for what to build and how to build it
• A defined tool stack and system structure
• Confidence in executing the plan or guiding someone else to build it
• A clear path forward for expanding and improving your systems over time