Integrating AI into content operations is a bit like the classic chicken-vs-the-egg question.
Except in this case, it’s clear which one should come first.
AI platforms or tools aren’t the biggest challenge anymore. Knowing how to use them is, starting with:
- How your content operations perform today, measured against your business objectives
- Where your operations can improve, and how you should prioritize them
- What processes and policies your team needs to guide the work.
Designing your ideal operating model makes deploying AI a lot easier.
It becomes obvious where AI-assisted workflows will bring speed, efficiency, and better results.
You can identify which content assets are truly AI-ready, and which aren’t.
There’s no more guesswork about governance required.
Your next steps include:
1. Plan for the AX as well as UX
AI agents are now part of your audience. Do you understand what they want and need?
User experience (UX) design emerged because organizations realized they needed to think carefully about how to reduce the friction when people try to navigate and use websites. Agent experience (AX) design will do the same thing for AI.
This primer will walk you through what AX is, how it works and why it will change the way we think about content publishing.
2. Ensure you have agent-ready content infrastructure in place
AX doesn’t just need to be understood at a theoretical level. You have to have a platform that lets AI agents easily consume, distribute, and recommend your content.
Investing in agent-ready content architecture now will let you scale AI efforts long into the future. This guide will help you prepare.
3. Assemble AI capabilities based on the highest-impact use cases
This is the fun part, but that doesn’t mean it’s easy.
Our CTO Brian Alvey has a helpful analogy here: imagine building AI internally as if you were preparing a meal.
Use these examples of AI marketing ‘recipes’ to test, learn and execute.
4. Learn how to overcome AI decision paralysis
Conflicting stakeholder priorities, vendor lock-in concerns… even the best-laid AI plans can run into roadblocks.
The problem usually stems from a fear of making the wrong move.
We’ve created an action plan to overcome this challenge and get your AI deployment back on track.