The content operating model in the AI age

Value via content

Many people still think about content as solely an indirect function: words, numbers and pictures that describe value, not deliver it. These people see content as marketing material, comms output and information. They see content as being about the work, not as the work itself.

Indirect value matters. Content can build awareness, preference and credibility. It can reduce acquisition costs. It can make your organisation easier to choose.

And even if you’re a plumber and your primary value lies in your ability to fix pipes, content is the key ingredient in the wider user experience. How much people value you isn’t just in how well you stop leaks; it’s how you communicate, how you show up.

For many though, especially mission-driven organisations, content also delivers value directly. It is the way that an organisation succeeds or fails, the way it achieves its mission: via education, via debate, via changing people’s attitudes, opinions and behaviour.

A charity running a mental health campaign, a policy influencing programme, or an advice service isn’t pointing people towards a product that exists independently of its content. The content is the campaign. The content is the service. Strip it away and the mission collapses.

In this context the content operating model is about more than the best tools and methods for the marketing team to use. Here it becomes core infrastructure.

Why a content operating model is especially vital now

AI doesn’t create the need for an operating model, but it removes the option of getting away without one. Because whatever is implicit, brittle or improvised gets scaled by the machine. The cracks are no longer tenable.

Systems

In order to play a useful role in this infrastructure, AI needs clear systems understanding. It needs the detail and also the big picture: the strategic underpinnings, the guidelines, the workflows. And in order for us humans to work out exactly where AI can add the most value and how we can build the best guardrails around its activity, we need clarity around the content operating model more than ever.

Systems clarity and systems design both become inescapably important in an AI world.

Transformation

There’s also a transformational angle to this: as the world shifts, the most successful organisations will build new solutions and grab new opportunities. Without content operating model clarity these attempts to change will be fumbles in the dark.

We’ve long argued that content is a better lens through which to see organisational transformation than digital. AI heightens all of those truths, making this a great moment to be thinking about adaptation and change.

Differentiation

AI is already commoditising certain types of content. AI makes content production cheap and it pulls the rug away from some SEO tactics. As a result, the factors by which you can differentiate your organisation from others have moved upstream.

Volume was never a good measure of value, and slop existed long before AI. But the race to the bottom just became a hundred times more crowded. And that means that what will matter more than ever is formalising and systematising what most organisations have been handling informally:

• what “good” actually means
• what must be true before something is published
• what has to stay consistent across channels and teams
• where there’s scope to experiment and innovate
• what should never be done, even if it’s easy.

Humans can operate with half of this implicit, because judgement can fill gaps. AI cannot.

So the AI-era challenge is not “use AI for content”. Instead it’s: design AI’s role inside a detailed, robust content operating model with solid foundations and constraints.

What a content operating model looks like

A content operating model is a system that makes content work – smoothly, effectively, efficiently. Everything that’s needed for real organisational capability.

Harnesses and scaffolding are increasingly recognised as crucial to effective use of AI. A content operating model goes beyond these concepts and covers not just how AI works, but how a whole organisation works. In the new world that means also, how an agentic organisation works, and how AI and humans work together.

Our content operating model has three stacked layers. The first two are foundational: the content operating model depends on them but they can be thought of as external to the content work itself. The third one is the actual content machinery and everything it needs to work, including the answers to seven key questions.

• The essence layer – purpose, character and relationships define who and what an organisation is. This layer is key to an organisation’s nature and its place in the world.
• The knowledge and opinion layer – frames, data and beliefs define how an organisation thinks and what it knows.
• The content layer – the answers to the key practical operating questions. The content layer is made up of all the components, methods, approaches and frameworks by which an organisation creates, maintains and manages content. How it expresses its essence and communicates its knowledge, creating value.

A content operating model lets an organisation produce content that is coherent with its essence, anchored in what it knows and believes, and operationally runnable – by people, by systems and, increasingly, by AI.

The layers and the components

Our content operating model stacks three layers: the foundational essence and knowledge layers, and the content machinery that sits on top of them. Together they make content work. Click or hover over each circle to see what it covers.

The essence layer

This is the deepest layer. It is what the organisation is for, how it behaves, and how it relates to the people it serves. It’s the most fundamental and it changes the least.

If this layer is fuzzily defined, or only held inside people’s heads, the rest of the system becomes guesswork. You can still produce content, but you will not be able to defend it consistently – especially once AI starts accelerating decisions.

The knowledge and opinion layer

Knowledge is also key to who you are but it shifts and adapts to the external world over time. Frames of understanding are not just about what you know but how you see the world. Data and information accumulate, keeping you anchored to reality. Beliefs go beyond facts to emotional connections.

An organisation’s opinionated understanding is a key aspect of its potential value to the world. But without content it can only ever be potential: unrealised.

The content layer

This is where your essence and your knowledge become operational. In order to function well, a content operating model has to answer these questions:

• Why? Why is content created – how is content helping the organisation achieve its strategic aims?
• What? What words, pictures, forms and assets are needed, by users and by the organisation?
• For whom? Who is it for, in what context, with what needs?
• Where? Where does it go, and how does it relate to everything else?
• How? What process, guidelines, systems and tools make it smooth?
• By whom? Who decides, drafts, edits, checks, publishes – and who is accountable?
• When? When is it created, maintained, reviewed, archived, reprioritised?

The joining lines: foundations and connections matter

The layers of the content operating model aren’t separate; the connecting lines between them are what make the whole model work.

A content operating model works when the joining lines are designed so that:

• essence powers commitments, not vague aspiration
• frames of understanding, data and beliefs flow into decisions, not just documents
• the content system can move at speed without breaking trust or losing coherence.