That content you've ignored for years? AI is training on it right now

Every piece of content you publish is shaping how AI tools understand and represent your organisation to users.

Whether it is your own AI assistant, a customer-facing chatbot or a publicly available LLM, they are all scraping and learning from your content.

But, if it’s outdated, contradictory, poorly structured, or just doesn’t meet your users’ needs, you risk misleading users, causing harm and losing trust.

If the information you feed AI is a mess, the answers it gives will be a mess too.

The good news is by making sure your content is accurate, consistent and based on organisational facts, you can turn your content risks into a strategic advantage.

Why your knowledge base is a risk

Your knowledge base is what AI tools use to generate answers. Most organisations' knowledge bases grow organically over the years with no clear owner or standards.

Knowledge bases often contain:

  • outdated information or policies (how many Covid-19 guidance docs do you still have floating around?)
  • conflicting information duplicated content
  • inconsistent terminology and tone
  • pages with no clear owner

When a person uses this content, they can use their judgement to assess if it meets their needs. They can ask a colleague or spot that one article is from 2015 and probably wrong. But AI can’t always make this distinction.

High stakes in regulated industries

In regulated industries like finance, healthcare, law, or government, this has serious consequences. A banking chatbot trained on outdated information could tell a customer they're eligible for a loan when they're not. A healthcare bot could give advice that's no longer evidence-based.

One wrong answer can lead to a formal complaint, a regulatory investigation or damage to your reputation.

Turn content risks into opportunities

Your content is your organisation's collective expertise. You can’t fix it with one spring clean, it requires proactively maintaining it so that you provide people and AI reliable and usable information.

Here’s how to get started:

1. Start with strategy, not just an inventory

Before you catalogue everything, think clearly about what you actually want for your content now. What content do you want to exist in a world of agentic AI?

2. Be ruthless about what you keep

Whatever doesn't serve a current user or business need, remove or archive it. An audit helps identify the scale of the problem and builds your business case for what work you need to do to fix your knowledge base.

3. Structure content for humans and machines

Make sure your content has a clear taxonomy. This means it is designed so that it is consistently structured, labelled and categorised so it helps humans and AI find and use the right information, as well as understand relationships between content.

4. Establish clear ownership

Content needs owners. Good governance defines who can create and publish content, who reviews it, what quality standards are and how often it's checked. This creates accountability.

5. Set standards you can measure

Define what "good content" looks like in terms of accuracy, consistency, relevance, and success for users and your organisation. Then measure how well your AI outputs reflect these criteria.

How CDL can help

Most organisations know their content is messy, but few know how to fix the underlying governance, strategy, and structure that keeps relevant and usable for humans and AI.

We help organisations transform chaotic knowledge bases into reliable, future-proof assets, not just for today's AI, but for whatever technology comes next.

Here’s how we help:

Create a content strategy that lasts

We help you build a content strategy grounded in user needs and designed to respond as technologies evolve. Whether you switch AI platforms, adopt new tools, or your business model shifts, your content foundation needs to stay firm.

Establish governance that maintains consistency and quality

We work with you to establish clear ownership, review cycles and quality standards. Having this in place means your knowledge base stays lean and relevant, no matter which teams create content or which technologies consume it.

Clean up your knowledge base

Our audits identify what's outdated, duplicated, or no longer serving users. We help you be ruthless about what stays and what goes, so your knowledge base only contains content that's accurate, current, and usable.

Get in touch if you would like to work with us on your content governance: hello@contentdesign.london

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