On this page:
- The Drupal AI Initiative
- From idea to coordinated initiative
- A year of momentum
- Salsa's role in the initiative
- Leading context management with Context Control Center
- Why this matters for public sector and regulated organisations
- Built in the open, shaped by the community
- Looking ahead: Rotterdam and beyond
The Drupal AI Initiative
One year ago, the Drupal AI launched with a clear purpose: to accelerate responsible AI innovation in Drupal and strengthen Drupal's position as the leading open-source CMS for AI-assisted digital experiences.
Since then, it has grown into one of the most coordinated contribution efforts in Drupal's history with:
- 32 partner organisations
- 50+ dedicated contributors
- 2.5k+ issues closed since June 2025
- 50+ releases of the AI core module
- 17k+ Drupal sites now running the AI module, up from around 5k at the time of the initiative's launch
Those numbers reflect something more than technical momentum. They reflect a growing recognition across the Drupal community and beyond that AI in a CMS needs to be different: structured, governed and built on the content platforms organisations already trust.
For Salsa , this milestone matters. We were one of the founding partners that helped establish the initiative, along with , , and , and we continue to play an active role in its leadership, operations, roadmap development and delivery.
From idea to coordinated initiative
The Drupal AI was created to move Drupal AI from promising experimentation to coordinated product direction.
At , the initiative introduced a clear , a leadership team, funded delivery , active work tracks and a model for pooling talent across organisations. The goal was not simply to add AI features to Drupal. It was to build AI in a way that reflects Drupal's strengths: structured content, permissions, workflows, moderation, multilingual support, transparency and open-source collaboration.
AI in a CMS is not just about generating content faster. The goal is to help organisations create, govern, improve and reuse content more effectively, giving teams practical tools while preserving human oversight. This makes AI useful inside real editorial workflows rather than a disconnected chatbot or vendor-specific add-on.
Drupal is well suited to this because it already manages the complex organisational knowledge that AI systems need: content models, taxonomies, user roles, approvals, revisions, publishing processes, brand standards, policy requirements and accessibility expectations.
The Drupal AI Initiative has helped turn that foundation into a coordinated roadmap for practical AI delivery.
A year of momentum
The growth over the past year has been substantial and it’s accelerating.
The core AI has gone from around 5k active installations at the time of the initiative's launch to more than as of June 2026. The 1.x release series has moved through four major version branches with 50+ , reflecting a pace of delivery that would be difficult to sustain without the initiative's coordinated model.
Contributors have closed more than 2.5k issues across the AI since June 2025.
Those delivery outcomes are the product of 32 partner and more than 50 dedicated contributors working within a shared roadmap, not as independent projects, but as a coordinated effort with governance, prioritisation and accountability.
The 2026 identified eight major capability areas for focused delivery:
- Page generation: AI-assisted creation of complete page structures from briefs or prompts
- Context management: governed, reusable organisational knowledge for AI agents and workflows
- Background agents: autonomous AI tasks that operate within defined organisational guardrails
- Design system integration: AI tools that understand and respect brand and component systems
- Content creation and discovery: smarter authoring and findability tools for editorial teams
- Advanced governance: audit trails, approval workflows and accountability tools for AI outputs
- Intelligent website improvements: AI-powered analysis and optimisation at the site level
- Multi-channel campaigns: coordinated AI content generation across channels and formats
Together, these priorities move Drupal AI from isolated features toward a more complete AI-enabled digital experience platform. They also reflect a broader shift: the most valuable AI systems will not be the ones that simply produce more content. They will be the ones that understand the organisation, respect governance requirements, work within existing workflows and help teams deliver better outcomes with more consistency and less risk.
Salsa's role in the initiative
Salsa has been involved in the Drupal AI from the beginning.
As a founding partner, Salsa helped fund and shape the initiative's early direction. We’ve been part of the initiative leadership team, supporting program operations, contributor coordination, community engagement and cross-team alignment.
This operational layer is critical. Large open-source initiatives do not succeed on vision alone. They need coordination, governance, documentation, prioritisation, reporting and clear pathways for contributors and partners to participate effectively. Salsa's role has been to help turn shared ambition into structured delivery: coordinating across multiple organisations and workstreams, supporting planning and operating models, and contributing to the practical systems that keep the initiative moving.
Leading context management with Context Control Center
Salsa's most significant product contribution is our work on the AI Context , also known as Context Control Center (CCC).
Context management is one of the eight key capabilities in the Drupal AI 2026 roadmap. It addresses one of the most important practical problems in AI adoption: how do organisations give AI systems the right knowledge, rules, standards and constraints at the right time?
Without managed context, AI quickly becomes fragmented. Teams paste brand guidance into prompts. Policy PDFs sit in one tool. Editorial rules live in another. Project-specific instructions are copied into disconnected workflows. The result is inconsistency, duplication and governance risk.
This is the kind of risk we describe as context : the hidden debt that builds when the prompts, instructions and source rules shaping AI outputs are scattered across tools and teams without clear ownership, governance or auditability.
Context Control is designed to solve this inside Drupal.
CCC lets organisations manage context such as brand voice, editorial standards, regulatory requirements and governance rules as structured Drupal content, with the same moderation, revision history and multilingual support they already apply to their content. That context is then available to AI agents and workflows across the site, scoped and governed rather than recreated for every interaction.
Despite being in active , CCC is already among the top most-installed modules across the Drupal AI ecosystem. It was also recognised as Open Source runner-up at the DrupalSouth 2026 Splash , external validation that the approach is resonating well beyond the initiative itself.
Beta 3 is in progress and we are actively looking for . If you are working with Drupal AI and want to help shape the module before its 1.0 release, we welcome your contribution. And, we'd like to send a special thank you to the most active contributors beyond Salsa: Aidan , Emma , Scott and Matt .
Why this matters for public sector and regulated organisations
Salsa's involvement in the Drupal AI is strongly connected to our work with government and public-purpose organisations.
These organisations face specific, non-negotiable requirements:
- Accessibility compliance for all AI-generated content
- Privacy controls for what AI systems can know and use
- Internal governance structures that require human sign-off
- Records management and FOI requirements for audit trails
Generic AI add-ons do not address these constraints. They can create new compliance risk, because opaque tools and unmanaged prompts are not auditable, and inconsistent workflows are not defensible.
Drupal already provides many of the foundations regulated organisations need: role-based permissions, content moderation workflows, revision history, publishing approvals, multilingual support and accessibility tooling. The Drupal AI Initiative builds on those foundations rather than bypassing them.
Context Control Center makes AI governance tangible within the CMS. It gives organisations a way to manage what AI knows, when it applies, who owns it and how it is reused, while supporting the audit trails and approval workflows that high-trust environments require.
Built in the open, shaped by the community
One of the most significant aspects of the Drupal AI is the model it demonstrates for open-source coordination.
The initiative brings together organisations that might otherwise compete, around a shared interest in building stronger AI capabilities for everyone. It combines funding, contribution, product thinking, delivery management, technical leadership, UX, QA, marketing and community participation into a coordinated structure.
32 partner organisations and more than 50 contributors working within a shared roadmap is not a small thing. It represents a meaningful answer to the question of whether open-source communities can organise around strategic priorities at the speed that AI development currently demands. The evidence from this first year suggests they can.
Looking ahead: Rotterdam and beyond
The first year was about creating momentum, establishing structure and proving that the Drupal community can coordinate around AI at scale. The next phase is about delivery, adoption and maturity. DrupalCon (28 September to 1 October) is where a significant part of that next phase becomes visible.
The initiative is working toward having new features, recipes and modules ready to demonstrate at Rotterdam. Alongside the main conference, on 28 September, the Enterprise Drupal AI brings together CXOs and enterprise decision-makers for a focused day on enterprise AI strategy and implementation, and the AI Dev provides a dedicated space for developers to go deep on AI tooling, agentic architecture and Drupal-specific innovations.
If you’re building with Drupal AI and want to get involved before then, there are a few ways to do so:
- Test Context Control Center: Beta 3 is coming soon and we need testers. Join the #ai-context channel in Drupal Slack or file issues at .
- Become an AI Initiative partner: Thirty-two organisations are already contributing. If yours wants to help shape where Drupal AI goes next, visit .
- Join the conversation: There is a dedicated #ai-initiative Drupal Slack to ask questions, provide suggestions, and learn more about the initiative.
One year in, the numbers speak clearly: Drupal AI is no longer experimental. It’s a growing, coordinated, open-source effort backed by 32 partners, 17k+ active installations and a delivery pace that continues to accelerate. Drupal AI is built for organisations that need AI to work within governance, not around it.