From Within: How Internal Personalization with AI Accelerates Content Deployment

Let's look at personalization from a different angle.

When we think about personalization in marketing, audience segmentation often takes center stage – especially with the revolutionary impact of AI.

But today I want to pivot our perspective and delve into the internal side of personalization. After all, to achieve true success, we must first understand ourselves!

At the upcoming NEXT Pharma Summit , I'll address the topic of how AI can upscale content deployments. And within this panel discussion, I'll definitely scratch upon the AI transforming how we navigate medical and regulatory process, which has a direct impact on content deployment. It's rather simple: the more prepared we are for the approval journey, the more efficiently we can deploy our content.

So, where does personalization fit into this equation?

It starts with a deep understanding of how approval operates within your team. It's about knowing the ins and outs of your internal processes and workflows.

To accelerate content approval with AI (and eventually deployment), your company's solutions must be tailored to your unique dynamics. Any AI model brings value only when it learns from concrete data – your knowledge base. It should understand how your approvers operate, how long processes take, common pitfalls, and even your history of rejections. Isn't that a form of deep personalization? It's about understanding the realities of your team and embedding that knowledge into the AI.

In the past, the approval process was merely a checklist of roles and responsibilities. Today, it's evolving into an algorithm that learns from your team's specific workflow. This means the approval process varies significantly from one company to another.

Remember, content acceleration and deployment isn't a one-way street. It begins with us personalizing our internal experience – understanding our unique workflows – before we shift our focus to external audiences. From this foundation, we can further refine our approach to understanding and engaging our audience.

What do you think about this dual-layered personalization perspective?