AI is already part of how enterprise teams work. Quietly in some places, more visibly in others.

Editors use it to summarise long-form content. Marketers lean on it for campaign copy and optimisation. Content teams use it to analyse performance and spot gaps. What started as experimentation has moved into daily workflow faster than most platforms have been able to keep up with.

That gap is where things start to get messy.

Where things start to break down

In many organisations, AI still sits outside the core publishing environment.

An editor drafts in the CMS, switches to an AI tool to generate a summary, copies it back, tweaks it, then repeats the process for metadata, headlines, or social variations. Multiply that across teams, regions, and content types, and it quickly becomes fragmented.

It works, up to a point. Then it doesn’t.

Outputs vary in quality. Content loses structure. There’s no consistent way to apply standards or track how AI is being used. What feels like a productivity boost at the individual level starts to create friction at scale.

The platform, instead of supporting the workflow, sits slightly to one side of it.

Bringing AI into the editorial experience

The real shift happens when AI moves into the platform itself.

Inside WordPress, AI can become part of the editorial flow rather than something separate. Editors can generate summaries, refine copy, suggest metadata, or enrich content without leaving the interface they already know.

That alone reduces friction. But the bigger impact comes from what happens behind the scenes.

Because the content stays structured, those AI-generated elements are more than text pasted into a field; they’re part of a system that can be reused, queried, and adapted across channels. A summary becomes an input for search. Metadata feeds personalisation. Structured content opens up new distribution paths.

Small changes in workflow start to compound.

From isolated tasks to connected workflows

Most early AI adoption focuses on speeding up individual tasks.

Write this faster. Summarise that quicker. Generate a few variations.

Useful, but limited.

The bigger opportunity sits in connecting those tasks together into workflows that build on each other. Analysing a content archive to surface high-value material. Extracting entities and applying consistent taxonomy. Feeding that structure back into new content creation.

Over time, the platform becomes smarter about the content it holds.

Teams spend less time repeating the same work and more time shaping outputs. Editorial effort shifts from production to refinement. Consistency improves without adding overhead.

That is where scale starts to show.

Making governance part of the system

As AI becomes more embedded, the conversation quickly moves beyond productivity.

Accuracy matters. Bias matters. Brand voice matters. At enterprise scale, those concerns cannot be handled informally or left to individual judgement.

They need to be designed into the system.

WordPress gives teams the ability to do that. Review steps can be built into workflows. Permissions can define who can generate, edit, and publish AI-assisted content. Prompts can be managed centrally. Outputs can be tracked and audited.

Nothing sits in a black box.

This creates a different dynamic. Teams can move quickly, experiment with new use cases, and still maintain control over what goes live. Governance becomes part of the workflow, not something layered on afterwards.

Why flexibility matters more than ever

AI capabilities are evolving at pace.

New models, new providers, new use cases. What works today might not be the right fit in six months. Locking into a single approach too early can limit what teams are able to do later.

This is where platform flexibility becomes critical.

With WordPress, AI integrations can be adapted over time. Different services can be connected through a consistent interface. Workflows can evolve as teams learn what delivers value. There is room to experiment without committing to a fixed path.

That ability to adjust matters just as much as the initial implementation.

It also points to where things are heading. WordPress is beginning to move beyond simple integrations towards a more agent-driven model, where AI can take on more active roles within workflows. If you want a deeper look at that direction, this piece on WordPress as an agentic platform explores what that could mean in practice.

Publishing is becoming more dynamic

Content no longer moves in a straight line from draft to publish.

It is analysed, enriched, updated, and redistributed across multiple touchpoints. A single piece might feed a website, an app, a newsletter, a recommendation engine, and a search experience. AI helps drive that process, but only when it is connected to where the content actually lives.

Otherwise, it becomes another disconnected layer.

Platforms that support this kind of dynamic publishing tend to share a common trait. They treat content as structured data, not just formatted text. That structure is what allows AI to add value beyond surface-level generation.

It is what makes content reusable, adaptable, and easier to govern.

Closing the gap between capability and execution

AI adoption is accelerating, regardless of whether platforms are ready.

Teams will continue to use it where they can. The risk is not adoption itself, but inconsistency. Different tools, different standards, different outputs. Over time, that becomes harder to manage and harder to scale.

Bringing AI into the core platform closes that gap.

For enterprise teams working with WordPress, that shift is already underway. The platform’s extensibility makes it possible to integrate AI in ways that reflect real workflows, not idealised ones. It allows teams to move faster while keeping structure, visibility, and control.

That balance is what turns AI from a useful tool into a meaningful capability.

And it is what will define how publishing continues to evolve.

The post AI is changing publishing. Most platforms aren’t ready appeared first on Human Made.

At WP:26, Human Made’s virtual event exploring the future of WordPress, much of the conversation focused on what’s changing across the web. AI is accelerating workflows, enterprise platforms are becoming more complex, and expectations around digital experiences continue to rise.

But in the middle of all that change, one session brought the conversation back to something more fundamental.

In a conversation with Rian Rietveld, we explored accessibility not as a compliance exercise or a checklist, but as a core part of how we design and build for the web. It quickly became clear that while the tools and technologies around us are evolving rapidly, the question of who we are building for remains just as important as ever.

Throwing off the shackles of compliance checklists, Rian delivered a clear and focused take on how accessible design fundamentally impacts your audience reach and revenue. Across an insight-packed 30-minutes, she guided us through the current state of WordPress accessibility, the awesome WP Accessibility Knowledge Base project she’s been working on, and—crucially—the highest-return investment teams can make today.

Read on to get the key moments and insights from Rian’s session.

From compliance to commercial reality

One of the most striking themes from the session was how quickly the conversation around accessibility is shifting. What was once framed as a compliance requirement is increasingly being recognised as a commercial imperative.

Excluding users with disabilities doesn’t just create a poorer experience, it actively limits your audience. As Rian pointed out, that audience is far from marginal. In fact, the cost of getting accessibility wrong is measurable, with billions in lost revenue each year in markets like the UK alone.

For teams building on the web, this reframes the challenge. Accessibility is no longer about meeting minimum standards or ticking regulatory boxes. It is about ensuring your product is usable by as many people as possible, not only because it is the right thing to do, but because it directly impacts reach, engagement, and ultimately, revenue.

Accessibility, AI, and search are converging

One of the most interesting parts of the discussion was how accessibility is increasingly intersecting with other concerns that teams are already prioritising, particularly around AI and search.

As highlighted throughout WP:26, machines are playing a growing role in how content is discovered, interpreted, and acted upon. Whether it is search engines, assistive technologies, or AI agents, all of these systems depend on the same underlying signals to make sense of the web.

Those signals are not new. They include things like semantic HTML, clear heading structures, meaningful labels, and predictable interactions. In other words, the same practices that have always underpinned accessible design.

What is changing is the level of importance. Accessibility is no longer a separate consideration running alongside SEO or AI readiness. It is becoming part of the same foundation. If content is not structured in a way that machines can understand, it becomes harder to find, harder to interpret, and ultimately less useful.

That convergence raises the stakes. Getting accessibility right is no longer just about supporting specific users. It is about ensuring content works in an increasingly machine-mediated web.

Actionable strategy: The highest-return on investment

If advising a digital leader, Rian shared the single highest-return investment in 2026: 

1. Training people: Train your designers, content creators, and developers on how to build accessible products. Most accessibility is “just decent code, decent HTML.”
2. Prioritise keyboard navigation: A website and all its functionality must be able to work with the keyboard only. This is the essence of accessibility and should be a non-negotiable testing priority.
3. Contribute to the Knowledge Base: Rian encouraged the community to get involved with the WP Accessibility Knowledge Base to create one central source of truth for all WordPress accessibility documentation.

“If you create only for perfect people, people who have perfect eyesight, are clear of mind, can move their hands, are web savvy. Well, then you say, okay, only those people are allowed in my web shop and the rest of the people I don’t give access to and the rest of the people are quite a lot of people. So you have to take into account that you build for everyone, not only for perfect people.” – Rian Rietveld, Web Accessibility Specialist.

Ready to explore all the insights and research from WP:26? Access the full WP:26 Event Replay page here and download our supporting market analysis report, ‘WordPress in 2026: The dawn of the intelligent CMS’.

The post Why accessibility is fundamental in 2026 appeared first on Human Made.

Ready to find out how prepared your organisation really is for AI? Building on insights from ‘Are You Ready for AI?’ — a research report co-published by Human Made and WordPress VIP — we’ve created a quick, interactive quiz that turns our AI readiness maturity matrix into five easy questions. The matrix breaks AI readiness into five core pillars, each moving along a continuum from Emerging to Optimised, giving leaders a practical way to understand strengths, uncover gaps, and chart a path toward true AI maturity.

The research shows most organisations today sit somewhere between Developing and Established, and there’s a long road ahead before reaching an Optimised state, where openness, adaptability, and connected content systems unlock real competitive advantage. Our quiz will help you pinpoint where you stand, what your stage means, and how you can move forward with confidence. Ready to explore your AI readiness? Let’s dive in.

How did you score on the AI Maturity Quiz?

Feeling confident, or spotting a few gaps you didn’t expect? Now’s the perfect time to dig deeper. Download the full ‘Are You Ready for AI?’ report to explore the complete AI Maturity Matrix, understand how leaders across the industry are progressing, and see where your organisation sits against the wider research findings.

Whether you’re shaping enterprise strategy or driving innovation within your team, the landscape is evolving quickly and clarity is a powerful advantage. We’ll continue sharing insights and practical guidance on AI adoption, but in the meantime, get the full picture by downloading the report and staying a step ahead on your AI journey.

Explore the full report, or get in touch if you’d like to learn how we help enterprise teams build AI-ready systems that deliver measurable, long-term value.

The post AI Maturity Quiz: Diagnose your AI Readiness  appeared first on Human Made.

The research report ‘Are you Ready for AI?’ – a collaborative project between Human Made and WordPress VIP – unpacks a data-driven look at how enterprise marketing and technology teams are preparing for the AI-native future. Drawing on insights from 99 senior digital leaders across major enterprise organisations, it provides a practical benchmark to help you understand where your own AI adoption stands.

The findings point to a clear message: in a world where AI is accelerating business transformation, standing still is no longer an option. Now is the time to assess your next moves, because the decisions you make today – around people, processes, platforms and data – will determine whether your organisation pulls ahead or is left behind.

In this blog, we explore five key takeaways from the report, backed by data, showing how enterprises can progress from AI experimentation to full-scale adoption.

1. AI is now essential to success.

The research reveals near-unanimous agreement among senior digital leaders: AI is no longer a nice-to-have – it’s a critical driver of future success. Almost every respondent (94%) believes that effective AI adoption is either important or vital to their organisation’s long-term competitiveness. This marks a decisive shift from viewing AI as an experimental add-on to recognising it as a foundational capability.

However, the data also exposes significant tension. While confidence in AI’s strategic importance is high, many organisations are not yet equipped to realise its full potential. Fewer than one in three leaders feel their current CMS gives them a competitive advantage when adopting or scaling AI. This gap between belief and capability is where risk – and opportunity – lies.

For enterprise organisations, this disconnect signals the need for deeper alignment between leadership vision, operational processes, and the underlying technology stack. Without this alignment, even the most ambitious AI strategies struggle to move beyond isolated experiments and into meaningful, organisation-wide impact.

Takeaway: AI is now a strategic imperative. The organisations pulling ahead are those that treat AI as a long-term driver of value and ensure that leadership, systems, and strategy are aligned to support adoption at scale.

2. Architecture is the main barrier. 

The data shows that most enterprises are still building the foundations needed for AI. Over half of leaders (65%) describe their CMS architecture as partially structured, indicating progress but not full readiness. Only 22% report having a fully structured and modular system — the kind of architecture that enables true automation and AI-driven personalisation.

A smaller group remains further behind: 7% say their CMS is still unstructured, and 6% are unsure of its state. This spread highlights a clear divide. While some organisations are creating AI-ready content foundations, the majority are working within systems that still limit how far automation and integration can reach.

Takeaway: AI needs well-structured, modular content to function effectively. Strengthening your content architecture is one of the most important steps toward enabling automation, enrichment, and meaningful personalisation at scale.

3. Security and integration slow adoption. 

The data shows that many enterprises are held back not by ambition, but by concerns around risk and operational complexity. Over half of respondents (53%) cite security, privacy, and compliance as major barriers to AI adoption, underscoring the growing pressure to innovate responsibly. 

Integration issues are also a significant hurdle, with 36% pointing to challenges connecting AI capabilities into existing systems, while 34% highlight skills and knowledge gaps within their teams.

Together, these factors create friction that slows progress and raises the stakes for organisations investing in AI. Strong governance frameworks and clear oversight are becoming essential prerequisites for scaling AI safely and effectively.

Takeaway: AI readiness is also risk readiness. Organisations that build the capability to innovate safely are the ones best positioned for sustainable, long-term AI adoption.

4. Investment focus is shifting to enablement. 

The data shows a clear move from experimentation toward operational transformation. AI workflow integration is now a top priority for enterprises, selected by 63% of respondents. Rather than treating AI as a standalone initiative, organisations are increasingly focused on embedding it into everyday processes to drive efficiency and scale.

A second tier of priorities reflects a balanced approach to value creation. Leaders are targeting analytics and insights (39%), personalisation at scale (39%), and cost reduction (38%), signalling that they aim to combine automation, intelligence, and improved customer experience. Meanwhile, agility and speed to market (34%) remain important as teams look to produce and adapt content more quickly.

Collectively, these shifts suggest that enterprises are beginning to build intelligent workflows, where AI-driven insights and automation are directly connected to content creation, publishing, and optimisation.

Takeaway: AI investment is moving beyond pilots. Organisations are now prioritising the workflows, processes, and capabilities that enable AI to deliver real, scalable operational impact.

5. Efficiency is the leading payoff. 

Leaders are clear about the outcomes they expect AI to deliver. The top anticipated benefit is more efficient use of resources, selected by 69% of respondents. This emphasis on efficiency reflects a broader ambition to redirect time, budget, and talent toward higher-value work.

Other expected benefits follow closely: faster production cycles (55%) and improved personalisation (52%). Together, these benefits point to a consistent goal across enterprises — using AI to increase productivity while strengthening audience connection.

These expectations reinforce the direction of current investments: organisations want AI that delivers measurable gains in speed, quality, and operational performance.

Takeaway: Enterprises see AI readiness as a pathway to greater efficiency, faster delivery, and more personalised experiences — the core drivers of competitive advantage in an AI-native environment.

Final thoughts on the AI Readiness Report

The AI Readiness Report makes one thing clear: enterprises are moving from AI curiosity to AI capability. The organisations making the most progress are those treating AI as a foundation, not a feature — integrating it into the very fabric of how content, data, and technology work together.

This research reflects what we’re seeing across the enterprise landscape: AI readiness isn’t about replacing human creativity; it’s about amplifying it through structured, connected, and intelligent systems. The biggest gains come when teams modernise their content architecture, strengthen governance, and build AI-literate workflows that unlock agility, automation, and smarter decision-making.

As enterprises transition into an AI-native future, those that invest early in alignment — across people, processes, platforms, and data — will be the ones who turn potential into lasting competitive advantage.

Explore the full report, or get in touch if you’d like to learn how we help enterprise teams build AI-ready systems that deliver measurable, long-term value.

The post The AI Readiness Report: 5 key takeaways appeared first on Human Made.

When the Human Made team set out to redesign and relaunch our own website earlier this year, we had two main goals: to create a faster, more flexible experience for visitors, and to give our content and design team more control over managing the site and how it evolves.

We didn’t want to over-engineer it.

As a WordPress agency known for building enterprise-level sites, it can be tempting to create everything from scratch with a custom build. But sometimes, the best engineering choice is to use what already works. The Ollie Pro theme, built entirely with Full Site Editing (FSE) in mind, offered the right balance between solid foundations and creative flexibility.

Since launching, we’ve not only used Ollie for our own site but also introduced it to several client projects — proving that you don’t always need a “from the ground up” custom build to deliver a beautiful, performant site.

Here are five things we achieved in the process.

1. A flexible foundation built for modern workflows

One of the first things we noticed was how easy it is to maintain a consistent visual style across the entire site. Ollie’s extensive pattern library helped make it easy to build pages efficiently whilst keeping your branding and site design consistent across pages.

For example, instead of manually setting font sizes or margins in individual blocks, we can adjust them once – globally – and know every page, post, and template will follow suit. This makes maintaining a site both faster and more consistent. 

Ollie isn’t trying to reinvent WordPress, and that’s exactly why we like it.

It’s designed to complement core FSE functionality, providing a well-structured starting point that works seamlessly with patterns, templates, and style variations. This helped us move quickly in the early stages of the redesign while maintaining full creative control.

“Ollie gives us a solid foundation to build from without getting in the way. It’s flexible enough for developers, but also intuitive for content teams.” – Pawel Mikolajek, Designer at Human Made

2. Design consistency, without custom CSS

Using Block Editor’s global styles and Ollie’s extensive pattern library, we could easily apply consistent typography, colour, and spacing across every part of the site — no repetitive adjustments, or extra CSS.

Instead of reinventing components, we built upon existing patterns, tailoring them to match our refreshed visual identity. This made the process both faster and more maintainable.

“As an engineering focused agency it’s easy to over-engineer our personal website and end up not meeting the needs of our marketing team. I think using Ollie has been really successful in allowing our marketing team to have consistency and become more efficient” – Matthew Haines-Young, Engineering Manager at Human Made

3. Complete control with Full Site Editing

One of the biggest wins of the redesign has been how much ownership our marketing and content team now has over the site.

Combining the Ollie theme and FSE features, we can customise menu headers, footers, and templates directly in the Site Editor, without writing a single line of PHP. Updating the navigation no longer requires developer input now that we’re utilising the simple UI of Ollie’s Menu Designer — something our team really appreciates.

4. Built-in responsiveness that works

Ollie’s responsive design system, including advanced column controls and flexible, mix and match styles, mean our landing pages have a seamless experience across devices from day one.

Rather than manually managing breakpoints, the theme’s defaults work hand-in-hand with FSE’s layout tools. The result: a site that feels polished and balanced on every screen size, without the need for additional CSS.

5. Increased performance

Utilising FSE features mixed with Ollie’s easy to use style patterns and theme, we’re able to keep our site lightweight and performant. No heavy frameworks, no redundant scripts — just clean, efficient code.

That simplicity translates to faster load times, improved accessibility, and easier long-term maintenance. It’s a reminder that future-ready doesn’t have to mean complex, sometimes it’s about choosing tools that evolve alongside the platform.

Our site now loads faster, uses fewer dependencies, and performs more consistently across devices. Combined with modern image handling and efficient markup, the result is a noticeably smoother user experience — both for visitors and for our content editors working in the backend.

Final thoughts

For us, using Ollie wasn’t about taking shortcuts, it was about working smarter.

Using the theme allowed us to focus on what really matters: great content, solid performance, and a design system that can grow with us. More importantly, it’s a testament to how powerful Full Site Editing has become, giving teams the tools to build beautiful, consistent, and flexible websites using the core WordPress experience.

As early adopters of FSE, we’re excited to keep exploring how themes like Ollie can help our clients do the same: move faster, collaborate better, and make WordPress work harder for them.

Explore the benefits of WordPress Full Site Editing and how we use it for client projects.

The post Building smarter, not harder: Why we embraced FSE for our own website redesign appeared first on Human Made.