When you decide to go all-in on AI, you also need to go all-out to reduce potential risks.
To avoid some common pitfalls:
- Recognize where an AI tool or platform will require complex integrations and expensive ongoing maintenance
- Identify the limits for AI agents to act autonomously, and where humans need to remain accountable
- Establishing how AI outputs will be evaluated and tweaked
This is a lot easier to do when AI is not treated as a set of point solutions but is accessed via features added to your existing systems, including your CMS.
It’s the difference between a “rip and replace” approach to AI and one where AI is already there, waiting to deliver value.
Some resources to help you balance AI risk and reward:
1. Assess your AI readiness across five areas
WordPress VIP and Human Made surveyed enterprise leaders on their AI adoption journeys, surfacing where organizational alignment breaks down and where the biggest CMS and workflow constraints are.
Benchmark yourself against those who shared their journey with us, and start closing any potential gaps early on.
2. Build a governance framework for AI-assisted content operations
AI can generate, publish, distribute, and amplify content, but does the end result have integrity? Is there transparency in how AI was used? Does your audience see clearly who’s accountable?
The better you’re able to answer these questions, the further you are in creating AI-assisted workflows that both your team and your audience can trust.
We’ve learned first-hand from large publishers like USA Today how to approach governance in a way that can scale across multiple websites.
3. Calculate the ROI of both human-created and AI-assisted content
Stop the slop before it happens.
It’s easy to dismiss AI as generating commoditized, low-value content, but the truth is people sometimes develop less-than-stellar copy too.
As AI becomes more embedded in everyday operations, you need to have an approach to measuring content performance that works across both human- and machine-produced work. This is an ever-evolving area, but we have some advice to get you started.
We asked, you answered
In our last issue, we wanted to know what felt chaotic as your business grows. Here’s what you told us:
50% say personalization at scale is the most complicated growth area
Other responses:
- 37%: Maintaining consistency across all operations
- 12%: Publishing into new channels
Personalization will become easier as more organizations adopt AI. Set the right foundations by understanding the importance of agent-ready content infrastructure.