The fragmented AI workflow
Imagine you’re writing a report for a higher-up. You have to make a business case for an important initiative. This requires heavy research and, because decision-makers will see it, the content must be pristine and typo-free.
While working, you keep multiple tabs open: your main editor, ChatGPT, Gemini, and Claude. You also do research using Google and read reports from analysts or consulting firms. Then, at some point, you need to open yet another tab for Grammarly to ensure there are no typos. Nearing the finish line, you read through again and realize several paragraphs contradict each other (likely from pasting across chatbots). That’s a lot of complexity to complete an assignment (and a lot of overhead to pay for all those tools).
This is how most people use AI.
In “The 5% AI Content Solution,” we covered the major barriers to operationalizing artificial intelligence effectively in organizations. Disparate toolsets were the primary roadblock acting as a silent productivity killer. Yet, the C-suite still wants to see returns on their AI investments.
How do you solve this? Consolidation. Gathering AI tools into one place in employees’ natural workflows reduces errors and boosts productivity over time. As Roman Khudonogov, Head of Product for Tiugo Technologies, put it, “The solution isn’t to ban AI tools or simply accept the patchwork approach. It’s to embed AI capabilities directly into the applications where content creation happens.”1
That’s exactly what CKEditor AI does: It puts AI content creation tools right in the interface of your WYSIWYG editor component that can be added to any application.
This eBook will show you how to eliminate tool sprawl with CKEditor AI, what this looks like in practice, and why embedding AI into real workflows leads to stronger adoption and better outcomes.
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