Ten steps to create an AI omnichannel content blueprint

In the coming years, AI is going to revolutionize content creation, customer support and sales and marketing in untold and unforeseen ways. With AI, creating MORE content FASTER can reap huge benefits. According to Statista, businesses can typically expect a 6% to 10% revenue increase from adopting AI.

It is inevitable that employees will start to incorporate these new capabilities into their workflows and, simultaneously, in every company’s digital content operations.  But how leaders prepare their teams for that transition is the biggest hurdle facing content operations leaders today. 

“Big is best built from small” 

If you’ve ever built anything in your life, whether it be baking bread in the kitchen or assembling an end table from IKEA, you know how important it is to follow a set of clear instructions to guide you step-by-step through the process. 

In the book “How Big Things Get Done,” the authors write that “Big is best built from small.” 

“What’s your LEGO?” the book asks. “Get a small thing, a basic building block. Combine it with another and another until you have what you need. “That is how a single solar cell becomes a solar panel, which becomes a solar array, which becomes a massive, megawatt-churning solar farm.” 

 “Modularity delivers faster, cheaper, and better,” they wrote.  

 And with digital content and Generative AI, that is especially true. 

 To build compelling content experiences that scale with the help of AI, you must break down content to its most atomic elements. 

Atomic content fields are your LEGO blocks, and you can make them actionable in all sorts of ways with AI. By using the right AI and atomic content strategy, you can create more engaging, more tailored, and more conversion-driving content faster. Keep reading to learn how. 

Creating an AI content blueprint: A step-by-step guide 

 Creating an AI Content Blueprint begins with defining clear goals and ends with continuous improvement.  This process ensures that your team knows what has been created, how you built it, and how you plan to manage it over the long term. 
 
Step 1: Set clear content goals 

The foundation of any AI project starts with clear goals, which act can as your North Star. Ask yourself: What do you want to create? Why is it important? How will you measure success? Documenting these answers early on will keep your project aligned with your objectives. 

 
Step 2: Brainstorm dream team 

AI impacts different teams in unique ways, so you need a diverse team of leaders and users from across the business. Consider what roles are required, their scope, and the necessary skills for the project. Once you know what you’re building, assemble your dream team to make it happen. 

Step 3: Ideate and prioritize 

List all the tasks you believe are essential for your AI content initiative. Organize these tasks by priority and feasibility. What needs to happen first, and what can be handled later? Ensure each task is clear in terms of the resources it requires.  

 
Step 4: Gather and organize materials 

Like any construction project, you need to have the right tools and materials ready. Identify your data sources, map out how fields and values will interact, and decide which models you will use. Organizing this information upfront will streamline the building process. 

Step 5: Map the customer journey 

Create a journey map that outlines what will happen both on the frontend and behind the scenes with your technology. Identify key user actions, expected outputs, and how these outputs will be used across your platform.  

Step 6: Build a draft flow 

With your plan in place, begin creating a draft version of your AI content flow. Use software with generative AI capabilities to test prompts and actions. Define variables and link actions to data fields for this initial version.  

Step 7: Test and refine your outputs 

Test your outputs against your content quality expectations. Is the output accurate? Does it avoid bias? Can it be replicated across different use cases? Gather feedback from users to ensure the outputs meet expectations, noting areas that need improvement. 

Step 8: Correct course, if needed 

If testing reveals issues, adjust your prompts, data points, or variables. Retest your updated version until it meets your criteria. This iterative process helps fine-tune your blueprint to ensure optimal performance.  

 
Step 9: Add finishing touches 

This is where you can add your unique touch. Use AI to optimize, personalize, and categorize content. By pulling together actions, triggers, and prompts you can create solutions that address a variety of content challenges.  

 
Step 10: Release, monitor, modify 

Finally, release AI-power content solution with an operational oversight plan in place. Document what you did, how you did it and what you were measuring so that you can incorporate maintenance and support into your plan.  

AI is not a one size fits all 

Your AI Content Playbook will evolve as you and your teams experiment and learn what works best for your unique needs.  The possibilities for AI-generated content are virtually endless. You can use it to create... 

• Blog articles 
• Product descriptions 
• Images 
• Photographic captions 

• Real estate listings 
  
  

These examples are just the beginning, as AI continues to open a wide range of creative options. Everything truly comes when we add AI into our content workflow. You can use it to do everything from... 

• Automatically rewriting content for tone and voice, quality, SEO standards 
  
  
• Using Predictive Analytics to control content placement and templates 
  
  
• Creating translations based on automation standards 
  
  

• Extracting information faster to create actionable insights for your teams 
  
  

Every organization must decide how AI fits into its content strategy, if it does at all. As new and exciting as AI is, it will only create operational efficiencies if teams understand it and can manage it effectively through a time of regulatory and legal change.