Skip to main content

Content management

AI CCMS Content management Industry insights Podcasts

Digital sovereignty in the age of AI

Are you in control of your digital destiny? In this episode, Alan Pringle and Sarah O’Keefe define digital sovereignty. They break down what organizations need to consider as they bring AI into content operations, from data leakage and competitive intelligence to shifting international regulations.

Sarah O’Keefe: The working definition that I’m using is that digital sovereignty is control over your own digital assets, digital destiny. That could be you personally, it could be you as an organization, or it could be you as a country or as a group of nations. And when I say group of nations, probably 98% of the time I’m talking about the EU, which has some laws in this regard. Digital sovereignty is your ability to control, own, and manage your digital assets and how they are used, reused, processed, resold, repurposed, and all the rest of it.

Alan Pringle
August 3, 2026
Read More
AI Content debt Content management Content pitfalls Localization Podcasts Translation

The debt crisis: AI edition

What happens when you feed years of messy content into AI? In this episode, Bill Swallow and Alan Pringle dig into the content debt crisis, including increased system costs, neglected localization, and the fallout of “just use AI” mandates. They share practical insights to help organizations get back on track.

Alan Pringle: Is your content updated? Does it reflect the latest information? Is it created for all the different locales that your company serves? Is it in different languages? That is another pile of debt that when you start looking at AI, all the problems will be very brutally magnified, and you’re going to have to address them to really have a large language model that works at all.

Bill Swallow
July 13, 2026
Read More
Content management Content pitfalls Content silos DITA

Tag, you’re it! Playing nice with DITA

When we create content, whether it’s a blog post or an instructional guide, we think about our own requirements. What does the style guide say about how to word this phrase? What formatting do I apply here? But if we pull back and look at the other teams that we work with, there’s a broad spectrum of content needs which often don’t line up.

However, there are still opportunities to bridge between silos, and ways to allow different teams to play together.

Jake Campbell
July 6, 2026
Read More
AI Content management Podcasts Structured content

From ad hoc to autonomous: The AI content ops maturity model

There are five levels of maturity for AI-driven content operations. Which level are you in? In this episode, Sarah O’Keefe and Bill Swallow walk through the AI content ops maturity model, from ad hoc experimentation to fully autonomous workflows.

Sarah O’Keefe: We want this automation, right? We want the ability to go in and extract release notes and do something with them. We have to have a certain level of maturity on the software development process so that we can grab the appropriate information. The same thing is true on the content side. You have to have a certain level of maturity in your content development processes, in your content management, so that you can identify the right things to process and the right things to access.

Bill Swallow
June 22, 2026
Read More
AI Content management Podcasts QA

Tool selection and the unpredictable variable

How do you really choose the right documentation tool? In this podcast episode, Sarah O’Keefe (Scriptorium) talks with Paweł Kowaluk and Michał Skowron (Guidewire Software) about building a successful tool selection process, the realities of docs as code, and what happens when the technology becomes the unpredictable variable.

Paweł Kowaluk: It’s funny how programming used to be deterministic, and it was the people who were messy. We always knew that people are going to be whimsical and maybe harder to rein in, but the technology is going to be predictable. Whereas now, technology is not predictable anymore, and you give it a prompt and you hope it’s going to do what you want. You adjust the system prompts and change the weight of things which are retrieved versus metadata, et cetera, and it doesn’t always work the way you expect it to.

Sarah O’Keefe: And now the people are being asked to be the deterministic layer, right? To be the QA on top of the AI.

Paweł Kowaluk: That’s actually very insightful. I like that. That is true. The human in the loop or whatever you call it, that’s supposed to be the voice of reason.

Sarah O'Keefe
June 1, 2026
Read More
AI Content management Podcasts Structured content

Taming AI: Using AI for content conversion at scale

AI promises to transform content conversion, but what does it actually look like when you’re processing thousands of documents a day? In this episode, Sarah O’Keefe (Scriptorium) and Rich Dominelli (DCL) dig into the real-world challenges of using AI for large-scale structured content conversion.

Rich Dominelli: If you have millions of articles and you’re asking the AI, ‘What did we do for this project six months ago?” The AI has to find those articles, pull the relevant information out of those articles, summarize it, and hand it back to you. The best way of doing that is to give extra signals to the AI, structured relevant bits of information, front matter, back matter, publication date, keywords, abstract, that allows the AI to query the corpus and get the relevant chunks out of that corpus in a very quick manner. Then, it can summarize what those chunks are. So the AI almost becomes the user interface over that corpus. But to find that data in the first place, structured content is key. Structured content is key when you’re dealing with big indexes and the web, and it’s the same with AI.

Sarah O'Keefe
May 18, 2026
Read More
AI Content delivery portal Industry insights Webinar

UI for AI: Responsible content delivery (webinar)

With AI, users are taking control over content delivery through summarization, personalization, translation, and more. But what are the risks? In this webinar, Sarah O’Keefe, CEO of Scriptorium, and Fabrice Lacroix, CEO of Fluid Topics, explore strategies and share examples of UI for AI that empower users while protecting them—and your organization—from misinterpretation, incomplete information, and compliance breaches.

As somebody who works in structured content with metadata, taxonomy, and all those other fun things, we’re telling people, you have to do the work. You have to do the work upfront because once that ingestion step happens and the AI is ingesting not structured, not consistent, not governed, not accurate, not up-to-date content, then what chance does the AI have? The AI is not going to make your content magically more accurate. It’s not magic. I mean, it can do some magic looking things, but it is not magic. Your entropy always wins. Your content will always sort of degenerate, right? So you start for your best possible, and it goes down from there. So what’s the best possible thing that you can get into your database?

— Sarah O’Keefe

Sarah O'Keefe
May 11, 2026
Read More
AI CCMS Content management Industry insights Podcasts

Machine experience (MX): Making content work for humans and machines

Your website may look great to humans, but can machines understand it? In this episode, Sarah O’Keefe (Scriptorium) and Tom Cranstoun (Digital Domain Technologies) explore the emerging discipline of machine experience (MX). Sarah and Tom discuss what AI agents actually encounter when they visit your web pages, why microdata and metadata are critical, and what content creators must do to ensure content is consumable for both human and machine audiences.

Tom Cranstoun: Humans are looking for pictures, they’re looking for text, and they can infer. You may think, “Well, we’ve already added information on the page,” but by putting it in as microdata, it doesn’t appear on the page for the humans. It appears on the page for the machine. I think that that’s a critical distinction. We are trying to design for both. We don’t want to overload a human with information, but we do want to give the machine as much information as it can take.

Sarah O'Keefe
May 4, 2026
Read More
AI Content governance Content management Podcasts

Who controls your content? AI and content governance

What does it actually mean to govern your content in the age of AI, and who’s really in control? In this episode, Sarah O’Keefe sits down with Patrick Bosek, CEO of Heretto, to unpack why the quality, accuracy, and structure of your content may be the most critical factors in what your users experience on the other side of an AI model.

Patrick Bosek: In today’s world, you don’t have 100% control. There are a couple of different places where this needs to be broken up. One is the end user: what they physically get and what control they have versus what control you have. Then, there’s what control you have of how the AI model is going to behave based on your information and your inputs. Whether or that model is public, like a user accessing your documentation through Claude Desktop, or private, like a user accessing your documentation through your app or website, the governance piece comes down to what control you have immediately before the model. And that breaks down into a couple of things: completeness, accuracy, and structure of the content.

Sarah O'Keefe
March 30, 2026
Read More
CCMS CMS Content management Structured content Webinar

The Sky is Falling—But Your Content is Fine, featuring Jack Molisani

Every few years, a new publishing trend sends leadership into a frenzy:

  • “We need micro content for smartwatches!”
  • “Everything must go into chatbots!
  • “Get ready for VR and the Metaverse!”
  • “AI will replace our content team!”

Sound familiar?

In this episode of our Let’s Talk ContentOps webinar series, host Sarah O’Keefe and guest Jack Molisani explored how structured content will futureproof your content operations no matter what tech trends come along. Learn how to prepare content once and publish everywhere, from toasters to chatbots to jumbotrons and beyond.

Sarah O'Keefe
July 28, 2025
Read More
CCMS CMS Content management Content pitfalls Headless CMS Learning content LMS Podcasts

Tool or trap? Find the problem, then the platform

Tempted to jump straight to a new tool to solve your content problems? In this episode, Alan Pringle and Bill Swallow share real-world stories that show how premature solutioning without proper analysis can lead to costly misalignment, poor adoption, and missed opportunities for company-wide operational improvement.

Bill Swallow: On paper, it looked like a perfect solution. But everyone, including the people who greenlit the project, hated it. Absolutely hated it. Why? It was difficult to use, very slow, and very buggy. Sometimes it would crash and leave processes running, so you couldn’t relaunch it. There was no easy way to use it. So everyone bypassed using it at every opportunity.

Alan Pringle: It sounds to me like there was a bit of a fixation. This product checked all the boxes without actually doing any in-depth analysis of what was needed, much less actually thinking about what users needed and how that product could fill those needs.

Bill Swallow
June 2, 2025
Read More
CCMS Content delivery portal Content management DITA Podcasts

Deliver content dynamically with a content delivery platform

Struggling to get the right content to the right people, exactly when and where they need it? In this podcast, Scriptorium CEO Sarah O’Keefe and Fluid Topics CEO Fabrice Lacroix explore dynamic content delivery—pushing content beyond static PDFs into flexible platforms that power search, personalization, and multi-channel distribution.

When we deliver the content, whether it’s through the APIs or the portal that you’ve built that is served by the platform, we render the content in a way that we can dynamically remove or hide parts of the content that would not apply to the context, the profile of the user. That’s the magic of a CDP. It’s delivering that content dynamically.

— Fabrice Lacroix

Sarah O'Keefe
May 19, 2025
Read More
Content management Content reuse DITA Learning content Personalization Podcasts Structured content Structured learning content

The benefits of structured content for learning & development content

In this episode, Alan Pringle, Bill Swallow, and Christine Cuellar explore how structured learning content supports the learning experience. They also discuss the similarities and differences between structured content for learning content and technical (techcomm) content.

Even if you are significantly reusing your learning content, you’re not just putting the same text everywhere. You can add personalization layers to the content and tailor certain parts of the content that are specific to your audience’s needs. If you were in a copy-and-paste scenario, you’d have to manually update it every single time you want to make a change. That scenario also makes it a lot more difficult to update content as you modify it for specific audiences over time, because you may not find everywhere a piece of information has been used and modified when you need to update it.

— Bill Swallow

Christine Cuellar
April 7, 2025
Read More
Learning content Podcasts Taxonomy

Building your futureproof taxonomy for learning content (podcast, part 2)

In our last episode, you learned how a taxonomy helps you simplify search, create consistency, and deliver personalized learning experiences at scale. In part two of this two-part series, Gretyl Kinsey and Allison Beatty discuss how to start developing your futureproof taxonomy from assessing your content needs to lessons learned from past projects.

Gretyl Kinsey: The ultimate end goal of a taxonomy is to make information easier to find, particularly for your user base because that’s who you’re creating this content for. With learning material, the learner is who you’re creating your courses for. Make sure to keep that end goal in mind when you’re building your taxonomy.

Allison Beatty
February 10, 2025
Read More