AI is becoming a primary consumer of enterprise content, yet most organisations are still relying on material that was never designed for machine understanding.
In this webinar, we’ll show what it takes to prepare content for AI-driven use cases, and why simple automation approaches are not enough.
Why AI-ready content matters
The goal for many organisations is clear: use existing content to power AI-enabled search, chatbots, and copilots.
But content that works for humans does not automatically work for machines.
While it may be tempting to automate content cleanup using scripts or prompts, the reality is more complex. Content remediation is not just a data problem. Editorial quality, semantic structure, and document design all play a critical role in how reliably AI can interpret and deliver information.
Without addressing these foundations, organisations risk deploying AI on top of fragmented, inconsistent, and poorly structured content—resulting in unreliable outputs and poor user experience.
Join us for an insightful webinar where we’ll explore
In this session, we will explore the key challenges involved in preparing content for AI consumption, and what organisations need to do to address them.
We will look at how content can be restructured to support both machine understanding and human usability, and what effective remediation approaches look like in practice.
Practical focus
This is a practical session designed for teams responsible for content, knowledge, and AI readiness.
The focus is on real-world challenges and actionable approaches to improving content quality, structure, and usability in AI-enabled environments.
Join our AI ready content webinar
Who this webinar is for:
- Knowledge managers responsible for content governance and quality
- Content and documentation teams
- IT and Digital Workplace leaders supporting AI initiatives
- AI, Data, and Transformation leadsProduct, support, and operations teams relying on structured content
What you will learn in this webinar:
- Why content that works for humans often fails in AI-driven scenarios
- The most common challenges in preparing content for AI consumption
- Why automated cleanup alone is not sufficient for reliable results
- How editorial, semantic, and structural issues impact AI performance
- Practical approaches to restructuring content for machine understanding
- How to balance AI-readiness with usability for human audiences
- What steps to prioritise when preparing content for AI-driven use cases
Meet the speakers
Rahel Bailie
Content Solutions Director, Altuent
Rahel Anne Bailie is Content Solutions Director at Altuent. Her passion has spanned over two decades helping companies resolve their content problems and improve their operations. She is well-known in the content industry, with books, awards, and post-grad teaching to her name.