Michael Klazema

I did not arrive at the Content Value Chain as a theoretical idea. It came from more than twenty years of working inside the messy reality of digital transformation, marketing operations, customer experience, commerce, and MarTech programs for large organizations. Across those years, I kept seeing the same pattern repeat itself: companies invested heavily in platforms, campaigns, content teams, agencies, automation, and data, but the system connecting all of it often remained fragile. Content moved through the organization, but not always with enough structure, ownership, governance, or feedback to make it reliable at scale.

Much of my career has been spent at the intersection of business strategy, technology, and operating model design. At VODW and later EY, I worked with teams across retail, consumer goods, financial services, manufacturing, entertainment, healthcare, and global pharma, helping them redesign digital experiences, marketing technology ecosystems, content operations, and commercial delivery models. Many of these programs were international by nature, spanning multiple markets, platforms, teams, agencies, and operating models.

The industries varied, but the underlying challenge was often similar. These companies were not struggling because they lacked platforms, agencies, content teams, or ambition. They were struggling because the operating system behind their content and customer experience had become too fragmented to scale reliably.

Most recently, I led the design and transition of a Commercial Global Business Services model for a global pharma company. That work went far beyond process documentation. It required defining the target operating model, governance, intake, service catalogue, SLAs, KPIs, cross-functional handoffs, and end-to-end content and campaign workflows down to detailed task level. The goal was not simply to make delivery cheaper or faster. It was to create a model that could improve consistency, reduce operational friction, support scale, and make commercial content and campaign delivery more reliable across markets.

Across these projects, I kept seeing the same structural pattern. Organizations had invested in powerful tools — CMS, DAM, commerce platforms, marketing automation, workflow systems, analytics, and increasingly AI — but the connective tissue between them was often underdesigned. Knowledge moved from product teams to marketing teams, from global teams to local markets, from agencies to internal teams, and from content repositories to customer-facing channels. At every handoff, meaning could shift. Claims could drift. Ownership could become unclear. What looked like a content problem was usually a system problem.

That international project experience shaped the Content Value Chain. It taught me that content cannot be treated as a set of isolated assets once organizations operate across markets, channels, platforms, languages, and regulatory environments. Content becomes part of how the business runs. It supports sales, service, commerce, customer experience, brand governance, and now AI-enabled execution.

AI made this structural challenge impossible to ignore. It could obviously produce more output at lower cost, but the real question was whether organizations had the structure to use that output safely, consistently, and meaningfully. Faster production exposed deeper issues: unclear ownership, fragmented knowledge, inconsistent claims, weak governance, and disconnected tools. AI did not create those problems. It made them visible.

The Content Value Chain grew out of that realization. It is my attempt to give leaders, operators, and transformation teams a practical language for something many of them already feel: content is no longer just marketing material or digital collateral. It has become part of the operating system of the organization. It carries knowledge, influences decisions, supports customer experience, feeds AI systems, and shapes how the business shows up in the world. If that system is not designed deliberately, AI will scale the weaknesses already inside it. If it is designed well, content becomes a source of alignment, speed, trust, and measurable value.

This book brings together the lessons I have learned from strategy consulting, marketing technology, content operations, service design, digital transformation, and AI implementation. It is written for people who are tired of treating content as a production problem and want to understand the system underneath it. My goal is to help organizations move beyond isolated tools and fragmented workflows toward a content operating model that can survive abundance, support automation, and remain connected to reality as the business changes.