Authors: Will Huggins, Jeremy Chinquist

Drupal AI 1.3.0 is now available, delivering the largest feature update since the module's initial release. This version focuses on three areas that organisations told us matter most:

• Keeping AI safe and accountable
• Making AI useful for content teams
• Giving technical teams the visibility they need to operate AI in production with confidence

And because Drupal AI is open source, you stay in control of your models, your data, and your infrastructure.

AI Guardrails: stay in control of every AI interaction

Trust is the foundation of responsible AI adoption. Drupal AI 1.3.0 introduces AI Guardrails, configurable checks that run before or after any AI request.

Teams can define rules to control how AI interacts with their content and data. For example, they can block sensitive data from leaving their organisation, filter harmful responses, or enforce compliance policies. All of this can be configured without writing code.

Guardrails work across all AI operations in Drupal. This gives security and compliance teams a single place to oversee how AI is used across the site.

In practice, this means AI governance becomes part of the platform itself, rather than something teams must manage separately.

One-click AI for editors, right where they work

AI should meet editors in their workflow, not force them into a separate tool.

Drupal AI 1.3.0 introduces Field Widget Actions, one-click AI workflows attached directly to content fields.

Editors can now:

• Generate images from text descriptions and attach them as media
• Create structured FAQs from existing content
• Extract addresses from images using AI and Google Places
• Plot data from a CSV into a chart field
• Generate audio summaries with text-to-speech
• Auto-fill metadata such as telephone numbers and office hours from unstructured text
• Evaluate whether the content is ready for publication and update its moderation state

Each action is backed by a customisable workflow allowing site builders to tailor AI behaviour to their organisation’s needs and editorial standards without writing code.

A smarter, more flexible chatbot

Editors often need quick assistance while working on content. The built-in Drupal AI chatbot has been expanded to support this directly within the editing experience.

Open the chatbot via slide-in or full-screen mode, allowing the editor to choose the interface that best fits their workflow.

The chatbot receives page context, meaning it understands the content currently being viewed or edited.
Editors can ask questions such as:

• Make this title more engaging
• Summarise this article for social media

Because the chatbot receives the current page context, its responses relate directly to the content on the screen.
Custom loading messages replace generic spinners, allowing site builders to provide clearer feedback while AI requests are processed.

Better tools for developers and site builders

As organisations begin building AI-powered features in Drupal, developers need tools that simplify configuration and reduce boilerplate.

Drupal AI 1.3.0 includes a set of reusable form elements designed specifically for AI workflows.
These components provide consistent interfaces for working with AI providers, prompts, and structured outputs.

The new elements include:

• Markdown editor with WYSIWYG, diff view, and Word paste compatibility
• Mentions autocomplete, allowing users to type @ or { to insert prompt variables
• Provider Selector, a unified interface for selecting AI providers
• JSON Schema editor with validation for structured output configuration
• Chat History viewer that mirrors the conversational interface of modern AI playgrounds

Configuration files have also been improved. Prompts are stored in a human-readable format rather than single-line strings, making code reviews easier and reducing merge conflicts when teams collaborate on AI workflows.

New AI operation types: rerank, summarize, detect

Drupal AI’s provider-agnostic architecture continues to expand with three additional operation types.

Rerank reorders search results or document lists based on relevance to a query. This is particularly useful in retrieval-augmented generation workflows.

Summarize uses lightweight summarization models instead of full language models, reducing cost and processing time.

Object Detection identifies objects in images using traditional machine learning models. The AI Validations module already uses this to verify image content automatically.

All operation types work with compatible providers, allowing organisations to change models without rewriting integration code.

Production-grade AI observability

Running AI in production requires visibility into how systems behave. Drupal AI’s observability module exports spans, traces, and metrics through OpenTelemetry, the industry standard for application monitoring.

Teams are able to connect this data to platforms such as Datadog, Grafana, Sentry, or any OpenTelemetry-compatible system.

This allows engineering teams to monitor AI agent decisions, track usage and cost, and audit AI interactions across their sites.

Combined with the exclude-tags feature for logging, organisations also gain fine-grained control over what information is recorded and what remains private.

A maturing platform: consolidation and clear direction

Drupal AI 1.3.0 also simplifies parts of the platform.

AI Translate gives way to TMGMT (Translation Management Tool), aligning AI-assisted translation with Drupal’s standard translation workflow.

Field Widget Actions now provide a flexible framework for AI-assisted editorial tasks. AI Content Suggestions remains available as a contrib module for teams that want to continue building on that approach.

AI Validations will use the Object Detection operation type going forward, while still allowing different validation modules to build on the same abstraction.

These changes simplify the core architecture while leaving room for contrib modules and alternative implementations.

Closing the Loop

AI in a CMS brings practical challenges around governance, editorial workflows, and production visibility.

Drupal AI 1.3.0 shows that these problems can be handled directly within Drupal.

AI can be governed, integrated into everyday publishing workflows, and monitored in production as part of the platform.

Get started

• Documentation and guides: https://www.drupal.org/project/ai
• Download Drupal AI 1.3.0
• Join the conversation: #ai on Drupal Slack

Drupal AI remains open source and provider-agnostic, allowing organisations to integrate AI capabilities while maintaining control over their infrastructure, data, and model choices.

Full release notes

This post highlights the major additions. For the complete list of changes, bug fixes, and improvements in 1.3.0, see the full release notes on drupal.org.

Read more articles about Drupal AI.
 

Authors: Will Huggins, Jeremy Chinquist

Drupal AI 1.3.0 is now available, delivering the largest feature update since the module's initial release. This version focuses on three areas that organisations told us matter most:

• Keeping AI safe and accountable
• Making AI useful for content teams
• Giving technical teams the visibility they need to operate AI in production with confidence

And because Drupal AI is open source, you stay in control of your models, your data, and your infrastructure.

AI Guardrails: stay in control of every AI interaction

Trust is the foundation of responsible AI adoption. Drupal AI 1.3.0 introduces AI Guardrails, configurable checks that run before or after any AI request.

Teams can define rules to control how AI interacts with their content and data. For example, they can block sensitive data from leaving their organisation, filter harmful responses, or enforce compliance policies. All of this can be configured without writing code.

Guardrails work across all AI operations in Drupal. This gives security and compliance teams a single place to oversee how AI is used across the site.

In practice, this means AI governance becomes part of the platform itself, rather than something teams must manage separately.

One-click AI for editors, right where they work

AI should meet editors in their workflow, not force them into a separate tool.

Drupal AI 1.3.0 introduces Field Widget Actions, one-click AI workflows attached directly to content fields.

Editors can now:

• Generate images from text descriptions and attach them as media
• Create structured FAQs from existing content
• Extract addresses from images using AI and Google Places
• Plot data from a CSV into a chart field
• Generate audio summaries with text-to-speech
• Auto-fill metadata such as telephone numbers and office hours from unstructured text
• Evaluate whether the content is ready for publication and update its moderation state

Each action is backed by a customisable workflow allowing site builders to tailor AI behaviour to their organisation’s needs and editorial standards without writing code.

A smarter, more flexible chatbot

Editors often need quick assistance while working on content. The built-in Drupal AI chatbot has been expanded to support this directly within the editing experience.

Open the chatbot via slide-in or full-screen mode, allowing the editor to choose the interface that best fits their workflow.

The chatbot receives page context, meaning it understands the content currently being viewed or edited.
Editors can ask questions such as:

• Make this title more engaging
• Summarise this article for social media

Because the chatbot receives the current page context, its responses relate directly to the content on the screen.
Custom loading messages replace generic spinners, allowing site builders to provide clearer feedback while AI requests are processed.

Better tools for developers and site builders

As organisations begin building AI-powered features in Drupal, developers need tools that simplify configuration and reduce boilerplate.

Drupal AI 1.3.0 includes a set of reusable form elements designed specifically for AI workflows.
These components provide consistent interfaces for working with AI providers, prompts, and structured outputs.

The new elements include:

• Markdown editor with WYSIWYG, diff view, and Word paste compatibility
• Mentions autocomplete, allowing users to type @ or { to insert prompt variables
• Provider Selector, a unified interface for selecting AI providers
• JSON Schema editor with validation for structured output configuration
• Chat History viewer that mirrors the conversational interface of modern AI playgrounds

Configuration files have also been improved. Prompts are stored in a human-readable format rather than single-line strings, making code reviews easier and reducing merge conflicts when teams collaborate on AI workflows.

New AI operation types: rerank, summarize, detect

Drupal AI’s provider-agnostic architecture continues to expand with three additional operation types.

Rerank reorders search results or document lists based on relevance to a query. This is particularly useful in retrieval-augmented generation workflows.

Summarize uses lightweight summarization models instead of full language models, reducing cost and processing time.

Object Detection identifies objects in images using traditional machine learning models. The AI Validations module already uses this to verify image content automatically.

All operation types work with compatible providers, allowing organisations to change models without rewriting integration code.

Production-grade AI observability

Running AI in production requires visibility into how systems behave. Drupal AI’s observability module exports spans, traces, and metrics through OpenTelemetry, the industry standard for application monitoring.

Teams are able to connect this data to platforms such as Datadog, Grafana, Sentry, or any OpenTelemetry-compatible system.

This allows engineering teams to monitor AI agent decisions, track usage and cost, and audit AI interactions across their sites.

Combined with the exclude-tags feature for logging, organisations also gain fine-grained control over what information is recorded and what remains private.

A maturing platform: consolidation and clear direction

Drupal AI 1.3.0 also simplifies parts of the platform.

AI Translate gives way to TMGMT (Translation Management Tool), aligning AI-assisted translation with Drupal’s standard translation workflow.

Field Widget Actions now provide a flexible framework for AI-assisted editorial tasks. AI Content Suggestions remains available as a contrib module for teams that want to continue building on that approach.

AI Validations will use the Object Detection operation type going forward, while still allowing different validation modules to build on the same abstraction.

These changes simplify the core architecture while leaving room for contrib modules and alternative implementations.

Closing the Loop

AI in a CMS brings practical challenges around governance, editorial workflows, and production visibility.

Drupal AI 1.3.0 shows that these problems can be handled directly within Drupal.

AI can be governed, integrated into everyday publishing workflows, and monitored in production as part of the platform.

Get started

• Documentation and guides: https://www.drupal.org/project/ai
• Download Drupal AI 1.3.0
• Join the conversation: #ai on Drupal Slack

Drupal AI remains open source and provider-agnostic, allowing organisations to integrate AI capabilities while maintaining control over their infrastructure, data, and model choices.

Full release notes

This post highlights the major additions. For the complete list of changes, bug fixes, and improvements in 1.3.0, see the full release notes on drupal.org.

Read more articles about Drupal AI.
 

Tag1 has joined the Drupal AI Initiative as a Certified Gold Partner and Maker. We’re starting by extending Workspaces, Drupal's enterprise content governance layer, so that AI agents operate under the same staging, review, and rollback framework as human editors. It’s the necessary foundation for everything that comes next.

Rotterdam is calling - DrupalCon Europe 2026 is heading to the Netherlands this September, and the call for session proposals is officially open!

The Agency, Business & Marketing track is built for business owners, marketing team leaders, agency leaders, project managers, and sales teams who run on Drupal. It's consistently one of DrupalCon's most popular tracks. A platform to share insights, spark conversations, and raise your profile in the community.

Got a story worth telling? Submit your session proposal today!

Share Your Expertise 

We're looking for bold, real-world perspectives across topics that are shaping agency and business success today, including:

• AI-driven innovation in project delivery and management
• Scaling smart: strategies for sustainable business growth
• Building high-performance teams in a hybrid world
• Client relationships that convert and last
• Navigating digital transformation without losing momentum
• Leadership in the modern agency landscape
• Sales, growth marketing, and business development in 2025

Submit your session proposal today! 

Make Your Proposal Impossible to Ignore

The strongest proposals don't just inform. They inspire action. Here's what makes a session stand out:

• Lead with outcomes: what will your audience walk away knowing or doing differently?
• Make it a conversation: interactive sessions create lasting impact. Show us how you'll engage the room
• Keep it real:practical takeaways, lived experience and honest lessons resonate far more than theory.

"The DrupalCon stage is yours to own. Submit your proposal and join us in Rotterdam to shape the future of Drupal. Your expertise could be the spark that inspires the next big idea!".

Every year, the global campaign organised by the Union for International Cancer Control invites people affected by cancer to share their personal experiences as part of World Cancer Day. These stories provide an important human perspective on the realities of cancer. They help build solidarity, encourage early diagnosis, and ensure the voices of patients, survivors, families and carers are heard around the world.

However, when a global campaign encourages participation at scale, the practical challenges quickly become clear. Hundreds of deeply personal stories can arrive from many different countries in a short period of time. Each submission needs to be reviewed carefully, handled with sensitivity, and prepared for publication. For a small team responsible for managing the campaign, this can create significant pressure during the peak period around World Cancer Day.

To address this challenge, the World Cancer Day team partnered with 1xINTERNET to explore how artificial intelligence could support their existing editorial workflow within Drupal.

Balancing efficiency and human oversight in AI assisted moderation

Rather than attempting to automate the process entirely, the approach focused on supporting human decision making. AI was introduced to assist moderators by helping them review incoming submissions more efficiently. This allowed the team to process stories more quickly while ensuring that personal experiences remained at the centre of the review process.

The result is a practical example of how AI can be applied responsibly. Technology is used to assist people rather than replace them, helping organisations manage growing volumes of content while maintaining appropriate oversight and care.

In this upcoming webinar we will explore the approach taken by the World Cancer Day team and the lessons it offers for other organisations facing similar challenges.

Register for the webinar

What the webinar will cover

Participants will hear about:

• The role that personal stories play in the global World Cancer Day movement
• The operational challenge of moderating hundreds of submissions from around the world
• How AI supported a human moderation process rather than replacing it
• Practical lessons for organisations considering responsible applications of AI

The session is designed for organisational leaders, communications teams, and others exploring how artificial intelligence can be introduced in a considered and practical way. Using a real global campaign as its foundation, it offers a practical example of how AI can support teams managing large volumes of user generated content.

Event details

Title: Helping people tell their cancer stories using AI: Lessons from World Cancer Day
Date: 16 March 2026
Time: 2:00 PM GMT*
Format: Live webinar

Register now to secure your place.

*If the timing is not convenient, the session will be recorded and shared with everyone who registers so it can be watched afterwards.

Speakers

Charles Andrew Revkin

Communications professional working on the World Cancer Day campaign at the Union for International Cancer Control (UICC). Charles leads global storytelling efforts that amplify the voices of people affected by cancer around the world.

Diego Costa

Chief Operating Officer at 1xINTERNET. Diego works with organisations to design and deliver complex digital platforms using open-source technologies including Drupal.

Matthew Saunders

AI Ambassador at amazee.io and long-time member of the Drupal community. Matthew works on initiatives that help organisations adopt AI in ways that respect privacy, transparency, and human decision-making.

More webinars and events

This is part of a series of webinars and global events organised by Drupal AI. For full details visit our events calendar.

Every year, the global campaign organised by the Union for International Cancer Control invites people affected by cancer to share their personal experiences as part of World Cancer Day. These stories provide an important human perspective on the realities of cancer. They help build solidarity, encourage early diagnosis, and ensure the voices of patients, survivors, families and carers are heard around the world.

However, when a global campaign encourages participation at scale, the practical challenges quickly become clear. Hundreds of deeply personal stories can arrive from many different countries in a short period of time. Each submission needs to be reviewed carefully, handled with sensitivity, and prepared for publication. For a small team responsible for managing the campaign, this can create significant pressure during the peak period around World Cancer Day.

To address this challenge, the World Cancer Day team partnered with 1xINTERNET to explore how artificial intelligence could support their existing editorial workflow within Drupal.

Balancing efficiency and human oversight in AI assisted moderation

Rather than attempting to automate the process entirely, the approach focused on supporting human decision making. AI was introduced to assist moderators by helping them review incoming submissions more efficiently. This allowed the team to process stories more quickly while ensuring that personal experiences remained at the centre of the review process.

The result is a practical example of how AI can be applied responsibly. Technology is used to assist people rather than replace them, helping organisations manage growing volumes of content while maintaining appropriate oversight and care.

In this upcoming webinar we will explore the approach taken by the World Cancer Day team and the lessons it offers for other organisations facing similar challenges.

Register for the webinar

What the webinar will cover

Participants will hear about:

• The role that personal stories play in the global World Cancer Day movement
• The operational challenge of moderating hundreds of submissions from around the world
• How AI supported a human moderation process rather than replacing it
• Practical lessons for organisations considering responsible applications of AI

The session is designed for organisational leaders, communications teams, and others exploring how artificial intelligence can be introduced in a considered and practical way. Using a real global campaign as its foundation, it offers a practical example of how AI can support teams managing large volumes of user generated content.

Event details

Title: Helping people tell their cancer stories using AI: Lessons from World Cancer Day
Date: 16 March 2026
Time: 2:00 PM GMT*
Format: Live webinar

Register now to secure your place.

*If the timing is not convenient, the session will be recorded and shared with everyone who registers so it can be watched afterwards.

Speakers

Charles Andrew Revkin

Communications professional working on the World Cancer Day campaign at the Union for International Cancer Control (UICC). Charles leads global storytelling efforts that amplify the voices of people affected by cancer around the world.

Diego Costa

Chief Operating Officer at 1xINTERNET. Diego works with organisations to design and deliver complex digital platforms using open-source technologies including Drupal.

Matthew Saunders

AI Ambassador at amazee.io and long-time member of the Drupal community. Matthew works on initiatives that help organisations adopt AI in ways that respect privacy, transparency, and human decision-making.

More webinars and events

This is part of a series of webinars and global events organised by Drupal AI. For full details visit our events calendar.

Written by guest blogger María Fernanda Silva

Something is shifting in how organizations think about AI. The early excitement around what it could do is giving way to a harder, more important question: how do you build AI that actually holds up — at scale, under pressure, and over time?

On 14 May 2026, New York City becomes the place where that question gets answered. The Drupal AI Summit brings together enterprise leaders, digital decision-makers, and senior practitioners from across the US and Europe — not to explore AI in theory, but to share what responsible, durable AI looks like in practice.

The decisions that define what AI becomes

Thirteen focused sessions. Real case studies. The Summit is built around the strategic and organizational questions that determine whether AI delivers real value or stays stuck in pilot mode: governance, investment, long-term architecture, and what it actually takes to scale. If you are responsible for those decisions, this is where you belong.

Open source and the architecture of trust

Most AI implementations fail quietly — locked into black boxes, disconnected from the workflows where real work happens, impossible to adjust without starting over.

There is a different path. When AI is embedded directly into content, data, and workflow systems (where enterprise work actually happens), teams maintain transparency, organisations retain control, and the architecture evolves alongside the business without the cost of replatforming. This is not a niche concern. It speaks to every enterprise leader navigating AI in environments where trust, regulation, and scale are not optional considerations — they are the entire challenge.

The Summit explores what this looks like in practice, with sessions grounded in the architectural and organizational choices that make responsible AI adoption real, not just possible.

What to expect on 14 May

From 9:00 am to 5:45 pm at 360 Madison Avenue in the heart of Midtown Manhattan, you will have access to thirteen sessions built entirely around case studies from peers who are applying AI in production environments. No theoretical frameworks. No technical deep-dives. Just honest, grounded conversations about what works, what doesn't, and what it takes to build AI your organization can trust for the long term.

Practitioners and leaders are flying in from across the US and Europe to share first-hand experience and to learn from each other. Your pass also grants access to the wider apidays New York event running across both days, connecting you with communities exploring APIs, AI agents, cybersecurity, and modern digital infrastructure — all under the same roof.

Explore the summit in detail

Want to learn more? Explore our dedicated AI Summit New York City hub where you can learn more about the format, who the event is designed for. This will also be where the agenda is published once finalised in mid March.

Early Bird tickets available until 13 April

Secure your place at the Drupal AI Summit NYC for $150 USD before 13 April 2026. After that, tickets are $200 USD.

The Paris edition sold out. If you're planning to join us in New York, early is the right call.

The foundations for enterprise-grade AI already exist. Come and see how they're being built — openly, responsibly, and together.

Secure your Early Bird ticket today!

Photos by Paul Johnson

Written by guest blogger María Fernanda Silva

Something is shifting in how organizations think about AI. The early excitement around what it could do is giving way to a harder, more important question: how do you build AI that actually holds up — at scale, under pressure, and over time?

On 14 May 2026, New York City becomes the place where that question gets answered. The Drupal AI Summit brings together enterprise leaders, digital decision-makers, and senior practitioners from across the US and Europe — not to explore AI in theory, but to share what responsible, durable AI looks like in practice.

The decisions that define what AI becomes

Thirteen focused sessions. Real case studies. The Summit is built around the strategic and organizational questions that determine whether AI delivers real value or stays stuck in pilot mode: governance, investment, long-term architecture, and what it actually takes to scale. If you are responsible for those decisions, this is where you belong.

Open source and the architecture of trust

Most AI implementations fail quietly — locked into black boxes, disconnected from the workflows where real work happens, impossible to adjust without starting over.

There is a different path. When AI is embedded directly into content, data, and workflow systems (where enterprise work actually happens), teams maintain transparency, organisations retain control, and the architecture evolves alongside the business without the cost of replatforming. This is not a niche concern. It speaks to every enterprise leader navigating AI in environments where trust, regulation, and scale are not optional considerations — they are the entire challenge.

The Summit explores what this looks like in practice, with sessions grounded in the architectural and organizational choices that make responsible AI adoption real, not just possible.

What to expect on 14 May

From 9:00 am to 5:45 pm at 360 Madison Avenue in the heart of Midtown Manhattan, you will have access to thirteen sessions built entirely around case studies from peers who are applying AI in production environments. No theoretical frameworks. No technical deep-dives. Just honest, grounded conversations about what works, what doesn't, and what it takes to build AI your organization can trust for the long term.

Practitioners and leaders are flying in from across the US and Europe to share first-hand experience and to learn from each other. Your pass also grants access to the wider apidays New York event running across both days, connecting you with communities exploring APIs, AI agents, cybersecurity, and modern digital infrastructure — all under the same roof.

Explore the Summit

Early Bird tickets available until 13 April

Secure your place at the Drupal AI Summit NYC for $150 USD before 13 April 2026. After that, tickets are $200 USD.

The Paris edition sold out. If you're planning to join us in New York, early is the right call.

The foundations for enterprise-grade AI already exist. Come and see how they're being built — openly, responsibly, and together.

Secure your Early Bird ticket today!

Photos by Paul Johnson

If you’ve been following the rapid rise of AI‑driven chatbots and ‘assistant‑as‑a‑service’ platforms, you know one of the biggest pain points is trustworthy, privacy‑preserving web search. AI assistants need access to current information to be useful, yet traditional search engines track every query, building detailed user profiles. 

Enter SearXNG - an open‑source metasearch engine that aggregates results from dozens of public search back‑ends while never storing personal data. The new Drupal module lets any Drupal‑based AI assistant (ChatGPT, LLM‑powered bots, custom agents) invoke SearXNG directly from the Drupal site, bringing privacy‑first searching in‑process with your content.

What is SearXNG?

SearXNG aggregates results from up to 247 search services without tracking or profiling users. Unlike Google, Bing or other mainstream search engines, SearXNG removes private data from search requests and doesn't forward anything from third-party services.

Think of it as a privacy-preserving intermediary: your query goes to SearXNG, which then queries multiple search engines on your behalf and aggregates the results, all while keeping your identity completely anonymous.

The Drupal SearXNG Module

The Drupal SearXNG module brings this privacy-focused search capability directly into the Drupal ecosystem. It connects Drupal with your preferred SearXNG server (local or remote), includes a demonstration block, and provides an additional submodule that integrates SearXNG with Drupal AI by offering an AI Agent Tool.

This integration is particularly powerful when combined with Drupal's growing AI ecosystem, including the AI module framework, AI Agents and AI Assistants API.

Key Benefits

Privacy by design

The most compelling benefit is complete privacy protection. When your Drupal AI assistant uses SearXNG to search the web:

• No user tracking or profiling occurs
• Search queries aren't stored or analysed
• IP addresses remain private
• No targeted advertising based on searches
• Compliance with privacy regulations like GDPR

This makes it ideal for organisations in healthcare, government, education and any sector where data privacy is paramount.

Comprehensive search results

By aggregating results from up to 247 search services, SearXNG provides more diverse and comprehensive search results than relying on a single search engine. Your AI assistant gets a broader perspective, potentially finding information that might be missed by individual search engines.

Self-hosted control

Organisations can run their own SearXNG instance, giving them complete control over:

• Which search engines to query
• Rate limiting and usage patterns
• Data residency requirements
• Custom configurations and preferences
• Complete audit trails

Getting started is remarkably straightforward thanks to SearXNG's official Docker image, which makes launching a local server as simple as running a single command. This means organisations can have their own private search instance running in minutes, without complex server configuration or dependencies.

Seamless AI integration

The module's AI Agent Tool integration means that Drupal AI assistants can seamlessly incorporate web search into their workflows. Whether it's a chatbot helping users navigate your site or an AI assistant helping content creators research topics, web search becomes just another capability in the assistant's toolkit.

Practical Use Cases

Internal knowledge assistants

Imagine a corporate intranet where employees use an AI assistant to find both internal documentation and external resources. The assistant can search your internal Drupal content while using SearXNG to find external information, all while maintaining complete privacy about what employees are researching.

Privacy-conscious educational platforms

Universities and schools increasingly need to protect student privacy. A Drupal-powered learning management system with an AI tutor can use SearXNG to help students research topics without creating profiles of their academic interests and struggles.

Government and public sector portals

Government organisations can leverage AI assistants to help citizens find information and services. Using SearXNG ensures that citizen queries remain private and aren't used for commercial purposes.

The Future of Privacy-First AI

The SearXNG Drupal module represents an important step forward in building AI systems that respect user privacy. As AI assistants become more prevalent in web applications, the ability to access current information without compromising privacy will become increasingly valuable.

Drupal's AI framework supports over 48 AI platforms, providing flexibility in choosing AI providers. By combining this with privacy-respecting search through SearXNG, organisations can build powerful, intelligent applications that align with growing privacy expectations and regulations.

Conclusion

Privacy and powerful AI don't have to be mutually exclusive. The SearXNG Drupal module proves that organisations can build intelligent, helpful AI assistants that respect user privacy. Whether you're building internal tools, public-facing applications, or specialised platforms, this module provides a foundation for privacy-first AI that can search the web without compromising user trust.

As data privacy regulations continue to evolve and users become more aware of digital privacy issues, tools like the SearXNG module will become increasingly essential. By adopting privacy-first approaches now, organisations can build user trust while delivering the intelligent, helpful experiences that modern web applications demand.

Find out more and download on the dedicated SearXNG Drupal project page.

Join us THURSDAY, February 19 at 1pm ET / 10am PT, for our regularly scheduled call to chat about all things Drupal and nonprofits. (Convert to your local time zone.)

We don't have anything specific on the agenda this month, so we'll have plenty of time to discuss anything that's on our minds at the intersection of Drupal and nonprofits. Got something specific you want to talk about? Feel free to share ahead of time in our collaborative Google document at https://nten.org/drupal/notes!

All nonprofit Drupal devs and users, regardless of experience level, are always welcome on this call.

This free call is sponsored by NTEN.org and open to everyone.

Information on joining the meeting can be found in our collaborative Google document.

While Artificial Intelligence is evolving rapidly, many applications remain experimental and difficult to implement in professional production environments. The Drupal AI Initiative addresses this directly, driving responsible AI innovation by channelling the community's creative energy into a clear, coordinated product vision for Drupal.

In this article, the third in a series, we highlight the outcomes of the latest development sprints of the Drupal AI Initiative. Part one outlines the 2026 roadmap presented by Dries Buytaert. Part two addresses the organisation and new working model for the delivery of AI functionality.

Authors: Arian, Christoph, Piyuesh, Rakhi (alphabetical)

Dries Buytaert presenting the status of Drupal AI Initiative at DrupalCon Vienna 2025

Converting ambition into measurable progress

To turn the potential of AI into a reliable reality for the Drupal ecosystem, we have developed a repeatable, high-velocity production model that has already delivered significant results in its first four weeks.

A Dual-Workstream Approach to Innovation

To maximize efficiency and scale, development is organized into two closely collaborating workstreams. Together, they form a clear pipeline from exploration and prototyping to stable functionality:

• The Innovation Workstream: Led by QED42, this stream explores emerging technologies like evaluating Symfony AI, building AI-driven page creation, prompt context management, and the latest LLM capabilities to define what is possible within the ecosystem.
• The Product Workstream: Led by 1xINTERNET, this team takes proven innovations and refines, tests, and integrates them into a stable Drupal AI product ensuring they are ready for enterprise use.

Sustainable Management through the RFP Model

This structure is powered by a Request for Proposal (RFP) model, sponsored by 28 organizations partnering with the Drupal AI Initiative.

The management of these workstreams is designed to rotate every six months via a new RFP process. Currently, 1xINTERNET provides the Product Owner for Product Development and QED42 provides the Product Owner for Innovation, while FreelyGive provides core technical architecture. This model ensures the initiative remains sustainable and neutral, while benefiting from the consistent professional expertise provided by the partners of the Drupal AI Initiative.

Professional Expertise from our AI Partners

The professional delivery of the initiative is driven by our AI Partners, who provide the specialized resources required for implementation. To maintain high development velocity, we operate in two-week sprint iterations. This predictable cadence allows our partners to effectively plan their staff allocations and ensures consistent momentum.

The Product Owners for each workstream work closely with the AI Initiative Leadership to deliver on the one-year roadmap. They maintain well-prepared backlogs, ensuring that participating organizations can contribute where their specific technical strengths are most impactful.

By managing the complete development lifecycle, including software engineering, UX design, quality assurance, and peer reviews, the sprint teams ensure the delivery of stable and well-architected solutions that are ready for production environments.

The Strategic Role of AI in Drupal CMS

The work of the AI Initiative provides important functionality to the recently launched Drupal CMS 2.0. This release represents one of the most significant evolutions in Drupal’s 25-year history, introducing Drupal Canvas and a suite of AI-powered tools within a visual-first platform designed for marketing teams and site builders alike.

The strategic cooperation between the Drupal AI Initiative and the Drupal CMS team ensures that our professional-grade AI framework delivers critical functionality while aligning with the goals of Drupal CMS.

Results from our first Sprints

The initial sprints demonstrate the high productivity of this dual-workstream approach, driven directly by the specialized staff of our partnering organizations. In the first two weeks, the sprint teams resolved 143 issues, creating significant momentum right from the first sprint.

Screenshot Drupal AI Dashboard

This surge of activity resulted in the largest regular patch release in the history of the Drupal AI module. This achievement was made possible by the intensive collaboration between several expert companies working in sync. Increased contribution from our partners will allow us to further accelerate development velocity, improving the capacity to deliver more advanced technical features in the coming months.

Screen recording Agents Debugger

Highlights from the first sprints

While the volume of work is significant, some new features stand out. Here are a few highlights from our recent sprint reviews:

• AI Dashboard in Drupal CMS 2.0: Artem from 1xINTERNET presented the AI Dashboard functionality. This central hub for managing AI features and providers has been officially moved into the Drupal CMS 2.0 release, serving as the user interface for AI site management.
• Advanced Automation: Anjali from QED42 presented new JSON and Audio field automators, which enable Drupal to process complex data types via AI.
• The Context Control Center: Kristen from Salsa Digital presented the evolution of our context governance, converting config entities into content entities to enable revision management and better targeting.
• The New Markdown Editor: Bruno from 1xINTERNET demonstrated a sleek new Markdown editor for prompt fields, featuring type-ahead autocomplete for variables and tokens. This will be released with the 1.3 version of the Drupal AI module.
• Agents Debugger: To help developers see "under the hood," Marcus from FreelyGive introduced the new debugger module to trace AI agent interactions in real-time.
• Technical Deep-Dives: We’ve seen steady progress on Symfony AI (presented by Akhil from QED42), Model Context Protocol (presented by Abhisek from DropSolid), and Reranking Models (led by Sergiu from DropSolid) to improve search quality.

Become a Drupal AI Partner

Our success so far is thanks to the companies who have stepped up as Drupal AI Partners. These organizations are leading the way in defining how AI and the Open Web intersect.
A huge thank you to our main contributors of the first two sprints (alphabetical order):

• 1xINTERNET
• DropSolid
• FreelyGive
• QED42
• Salsa Digital

We invite further participation from the community. If your organization is interested in contributing expert resources to the forefront of AI development, we encourage you to join the initiative.

Sign up to join the Drupal AI Initiative
 

Now that some of the projects that opted-in for GitLab issues are using them, they are getting real world experience with how the issue workflow in GitLab is slightly different. More and more projects are being migrated each week so sooner or later you will probably run into the following situations.

Creating new issues

When creating issues, the form is very simple. Add a title and a description and save, that's it!

GitLab has different work items when working on projects, like "Incidents", "Tasks" and "Issues". Our matching type will always be "Issue". Maintainers might choose to use the other types, but all integrations with Drupal.org will be made against "Issue" items.

Labels (issue metadata)

As mentioned in the previous blog post GitLab issue migration: the new workflow for migrated projects, all the metadata for issues is managed via labels. Maintainers will select the labels once the issue is created.

Users without sufficient privileges cannot decide things like priority or tags to use. Maintainers can decide to grant the role "reporter" to some users to help with this metadata for the issues. Reporters will be able to add/edit metadata when adding or editing issues. We acknowledge that this is probably the biggest difference to working with Drupal.org issues. We are listening to feedback and trying to identify the real needs first (thanks to the projects that opted in), before implementing anything permanent.

Reporters will be able to add or edit labels on issue creation or edit:

So far, we have identified the biggest missing piece, the ability to mark an issue as RTBC. Bouncing between "Needs work" or "Needs review" tends to happen organically via comments among the participating contributors in the issue, but RTBC is probably what some maintainers look for to get an issue merged.

The previous are conventions that we agreed on as a community a while back. RTBC is one, NW (Needs Work) vs NR (Needs Review) is another one, so we could use this transition to GitLab issues to define the equivalent ones.

GitLab merge requests offer several choices that we could easily leverage.

• Draft vs ready could mimic "Needs work" vs "Needs review". Contributors will switch this back and forth depending on the feedback needed on the code.
• Merge request approvals could mimic "RTBC". This is something that can even be required (number of approvals or approval rules) per project, depending on the maintainer's preferences.

We encourage maintainers to look at the merge requests listing instead (like this one). Both "draft" vs. "ready" and "approved" are features you can filter by when viewing merge requests for a project.

Automated messages

There are automated messages when opening or closing issues that provide links related to fork management, fork information, and access request when creating forks, and reminders to update the contribution record links to the issue to track credit information.

Crosslinking between Drupal.org issues and GitLab issues

When referring to a Drupal.org issue from another Drupal.org issue, you can continue to use the [#123] syntax in the summary and comments, but enter the full URL in the "related issues" entry box.

When referring to a GitLab issue from another GitLab issue, use the #123 syntax, without the enclosing [ ].

For cross-platform references (Drupal to GitLab or GitLab to Drupal), you need to use the full URL.

What's next

Same as before, we want to go and review more of the already opted-in projects, collect feedback, act on it when needed, and then we will start to batch-migrate the next set: low-usage projects, projects with a low number of issues, etc.

The above should get us 80% of the way regarding the total number of projects to migrate, and once we have gathered more feedback and iterated over it, we'll be ready to target higher-volume, higher-usage projects.

Related blog posts:

• GitLab issue migration: immediate changes
• GitLab issue migration: the new workflow for migrated projects
• GitLab issue migration: how to use the new workflow (this one)

• This is cross-posted from Dries Buytaert's blog

For the past months, the AI Initiative Leadership Team has been working with our contributing partners to define what the Drupal AI initiative should focus on in 2026. That plan is now ready, and I want to share it with the community.

This roadmap builds directly on the strategy we outlined in Accelerating AI Innovation in Drupal. That post described the direction. This plan turns it into concrete priorities and execution for 2026.

The full plan is available as a PDF, but let me explain the thinking behind it.

Producing consistently high-quality content and pages is really hard. Excellent content requires a subject matter expert who actually knows the topic, a copywriter who can translate expertise into clear language, someone who understands your audience and brand, someone who knows how to structure pages with your component library, good media assets, and an SEO/AEO specialist so people actually discover what you made.

Most organizations are missing at least some of these skillsets, and even when all the people exist, coordinating them is where everything breaks down. We believe AI can fill these gaps, not by replacing these roles but by making their expertise available to every content creator on the team.

For large organizations, this means stronger brand consistency, better accessibility, and improved compliance across thousands of pages. For smaller ones, it means access to skills that were previously out of reach: professional copywriting, SEO, and brand-consistent design without needing a specialist for each.

Used carelessly, AI just makes these problems worse by producing fast, generic content that sounds like everything else on the internet. But used well, with real structure and governance behind it, AI can help organizations raise the bar on quality rather than just volume.

Drupal has always been built around the realities of serious content work: structured content, workflows, permissions, revisions, moderation, and more. These capabilities are what make quality possible at scale. They're also exactly the foundation AI needs to actually work well.

Rather than bolting on a chatbot or a generic text generator, we're embedding AI into the content and page creation process itself, guided by the structure, governance, and brand rules that already live in Drupal.

For website owners, the value is faster site building, faster content delivery, smarter user journeys, higher conversions, and consistent brand quality at scale. For digital agencies, it means delivering higher-quality websites in less time. And for IT teams, it means less risk and less overhead: automated compliance, auditable changes, and fewer ad hoc requests to fix what someone published.

We think the real opportunity goes further than just adding AI to what we already have. It's also about connecting how content gets created, how it performs, and how it gets governed into one loop, so that what you learn from your content actually shapes what you build next.

The things that have always made Drupal good at content are the same things that make AI trustworthy. That is not a coincidence, and it's why we believe Drupal is the right place to build this.

What we're building in 2026

The 2026 plan identifies eight capabilities we'll focus on. Each is described in detail in the full plan, but here is a quick overview:

• Page generation - Describe what you need and get a usable page, built from your actual design system components
• Context management - A central place to define brand voice, style guides, audience profiles, and governance rules that AI can use
• Background agents - AI that works without being prompted, responding to triggers and schedules while respecting editorial workflows
• Design system integration - AI that builds with your components and can propose new ones when needed
• Content creation and discovery - Smarter search, AI-powered optimization, and content drafting assistance
• Advanced governance - Batch approvals, branch-based versioning, and comprehensive audit trails for AI changes
• Intelligent website improvements - AI that learns from performance data, proposes concrete changes, and gets smarter over time through editorial review
• Multi-channel campaigns - Create content for websites, social, email, and automation platforms from a single campaign goal

These eight capabilities are where the official AI Initiative is focusing its energy, but they're not the whole picture for AI in Drupal. There is a lot more we want to build that didn't make this initial list, and we expect to revisit the plan in six months to a year.

We also want to be clear: community contributions outside this scope are welcome and important. Work on migrations, chatbots, and other AI capabilities continues in the broader Drupal community. If you're building something that isn't in our 2026 plan, keep going.

How we're making this happen

Over the past year, we've brought together organizations willing to contribute people and funding to the AI initiative. Today, 28 organizations support the initiative, collectively pledging more than 23 full-time equivalent contributors. That is over 50 individual contributors working across time zones and disciplines.

Coordinating 50+ people across organizations takes real structure, so we've hired two dedicated teams from among our partners:

• QED42 is focused on innovation, pushing forward on what is next.
• 1xINTERNET is focused on productization, taking what we've built and making it stable, intuitive, and easy to install.

Both teams are creating backlogs, managing issues, and giving all our contributors clear direction. You can read more about how contributions are coordinated.

This is a new model for Drupal. We're testing whether open source can move faster when you pool resources and coordinate professionally.

Get involved

If you're a contributing partner, we're asking you to align your contributions with this plan. The prioritized backlogs are in place, so pick up something that fits and let's build.

If you're not a partner but want to contribute, jump in. The prioritized backlogs are open to everyone.

And if you want to join the initiative as an official partner, we'd absolutely welcome that.

This plan wasn't built in a room by itself. It's the result of collaboration across 28 sponsoring organizations who bring expertise in UX, core development, QA, marketing, and more. Thank you.

We're building something new for Drupal, in a new way, and I'm excited to see where it goes.

— Dries Buytaert

• This is cross-posted from Dries Buytaert's blog

For the past months, the AI Initiative Leadership Team has been working with our contributing partners to define what the Drupal AI initiative should focus on in 2026. That plan is now ready, and I want to share it with the community.

This roadmap builds directly on the strategy we outlined in Accelerating AI Innovation in Drupal. That post described the direction. This plan turns it into concrete priorities and execution for 2026.

The full plan is available as a PDF, but let me explain the thinking behind it.

Producing consistently high-quality content and pages is really hard. Excellent content requires a subject matter expert who actually knows the topic, a copywriter who can translate expertise into clear language, someone who understands your audience and brand, someone who knows how to structure pages with your component library, good media assets, and an SEO/AEO specialist so people actually discover what you made.

Most organizations are missing at least some of these skillsets, and even when all the people exist, coordinating them is where everything breaks down. We believe AI can fill these gaps, not by replacing these roles but by making their expertise available to every content creator on the team.

For large organizations, this means stronger brand consistency, better accessibility, and improved compliance across thousands of pages. For smaller ones, it means access to skills that were previously out of reach: professional copywriting, SEO, and brand-consistent design without needing a specialist for each.

Used carelessly, AI just makes these problems worse by producing fast, generic content that sounds like everything else on the internet. But used well, with real structure and governance behind it, AI can help organizations raise the bar on quality rather than just volume.

Drupal has always been built around the realities of serious content work: structured content, workflows, permissions, revisions, moderation, and more. These capabilities are what make quality possible at scale. They're also exactly the foundation AI needs to actually work well.

Rather than bolting on a chatbot or a generic text generator, we're embedding AI into the content and page creation process itself, guided by the structure, governance, and brand rules that already live in Drupal.

For website owners, the value is faster site building, faster content delivery, smarter user journeys, higher conversions, and consistent brand quality at scale. For digital agencies, it means delivering higher-quality websites in less time. And for IT teams, it means less risk and less overhead: automated compliance, auditable changes, and fewer ad hoc requests to fix what someone published.

We think the real opportunity goes further than just adding AI to what we already have. It's also about connecting how content gets created, how it performs, and how it gets governed into one loop, so that what you learn from your content actually shapes what you build next.

The things that have always made Drupal good at content are the same things that make AI trustworthy. That is not a coincidence, and it's why we believe Drupal is the right place to build this.

What we're building in 2026

The 2026 plan identifies eight capabilities we'll focus on. Each is described in detail in the full plan, but here is a quick overview:

• Page generation - Describe what you need and get a usable page, built from your actual design system components
• Context management - A central place to define brand voice, style guides, audience profiles, and governance rules that AI can use
• Background agents - AI that works without being prompted, responding to triggers and schedules while respecting editorial workflows
• Design system integration - AI that builds with your components and can propose new ones when needed
• Content creation and discovery - Smarter search, AI-powered optimization, and content drafting assistance
• Advanced governance - Batch approvals, branch-based versioning, and comprehensive audit trails for AI changes
• Intelligent website improvements - AI that learns from performance data, proposes concrete changes, and gets smarter over time through editorial review
• Multi-channel campaigns - Create content for websites, social, email, and automation platforms from a single campaign goal

These eight capabilities are where the official AI Initiative is focusing its energy, but they're not the whole picture for AI in Drupal. There is a lot more we want to build that didn't make this initial list, and we expect to revisit the plan in six months to a year.

We also want to be clear: community contributions outside this scope are welcome and important. Work on migrations, chatbots, and other AI capabilities continues in the broader Drupal community. If you're building something that isn't in our 2026 plan, keep going.

How we're making this happen

Over the past year, we've brought together organizations willing to contribute people and funding to the AI initiative. Today, 28 organizations support the initiative, collectively pledging more than 23 full-time equivalent contributors. That is over 50 individual contributors working across time zones and disciplines.

Coordinating 50+ people across organizations takes real structure, so we've hired two dedicated teams from among our partners:

• QED42 is focused on innovation, pushing forward on what is next.
• 1xINTERNET is focused on productization, taking what we've built and making it stable, intuitive, and easy to install.

Both teams are creating backlogs, managing issues, and giving all our contributors clear direction. You can read more about how contributions are coordinated.

This is a new model for Drupal. We're testing whether open source can move faster when you pool resources and coordinate professionally.

Get involved

If you're a contributing partner, we're asking you to align your contributions with this plan. The prioritized backlogs are in place, so pick up something that fits and let's build.

If you're not a partner but want to contribute, jump in. The prioritized backlogs are open to everyone.

And if you want to join the initiative as an official partner, we'd absolutely welcome that.

This plan wasn't built in a room by itself. It's the result of collaboration across 28 sponsoring organizations who bring expertise in UX, core development, QA, marketing, and more. Thank you.

We're building something new for Drupal, in a new way, and I'm excited to see where it goes.

— Dries Buytaert

Scaling the Drupal AI Initiative

The Drupal AI Initiative officially launched in June 2025 with the release of the Drupal AI Strategy 1.0 and a shared commitment to advancing AI capabilities in an open, responsible way. What began as a coordinated effort among a small group of committed organizations has grown into a substantial, sponsor-funded collaboration across the Drupal ecosystem.

Today, 28 organizations support the initiative, collectively pledging more than 23 full-time equivalent contributors representing over 50 individual contributors working across time zones and disciplines. Together, sponsors have committed more than $1.5 million in combined cash and in-kind contributions to move Drupal AI forward.

The initiative now operates across multiple focused areas, including leadership, marketing, UX, QA, core development, innovation, and product development. Contributors are not only exploring what’s possible with AI in Drupal, but are building capabilities designed to be stable, well-governed, and ready for real-world adoption in Drupal CMS.

Eight months in, this is more than a collection of experiments. It is a coordinated, community-backed investment in shaping how AI can strengthen content creation, governance, and measurable outcomes across the Drupal platform.

Strengthening Delivery for Growth

As outlined in the 2026 roadmap, this year focuses on delivering eight key capabilities that will shape how AI works in Drupal CMS. Achieving that level of focus and quality requires more than enthusiasm and good ideas. It requires coordination at scale.

From the beginning, sponsors contributed both people and funding so the initiative could be properly organized and managed. With 28 organizations contributing more than 50 people across multiple workstreams, it was clear that sustained progress would depend on dedicated delivery management to align priorities, organize backlogs, support contributors, and maintain predictable execution.

To support this growth, the initiative ran a formal Request for Proposal (RFP) process to select delivery management partners to help coordinate work across both innovation and product development workstreams. This was not a shift in direction, but a continuation of our original commitment: to build AI capabilities for Drupal in a way that is structured, sustainable, and ready for real-world adoption.

Selecting Delivery Partners

To identify the right delivery partners, we launched the RFP process in October 2025 at DrupalCon Vienna. The RFP was open exclusively to sponsors of the Drupal AI Initiative. From the start, our goal was to run a process that reflected the responsibility we carry as a sponsor-funded, community-driven initiative.

The timeline included a pre-proposal briefing, an open clarification period, and structured review and interview phases. Proposals were independently evaluated against clearly defined criteria tailored to both innovation and production delivery. These criteria covered governance, roadmap and backlog management, delivery approach, quality assurance, financial oversight, and demonstrated experience contributing to Drupal and AI initiatives.

Following an independent review, leadership held structured comparison sessions to discuss scoring, explore trade-offs, clarify open questions, and ensure decisions were made thoughtfully and consistently. Final discussions were held with shortlisted vendors in December, and contracts were awarded in early January.

The selected partners are engaged for an initial six-month period. At the end of that term, the RFP process will be repeated.

This process was designed not only to select capable partners but to steward sponsor contributions responsibly and align with Drupal’s values of openness, collaboration, and accountability.

Delivery Partners Now in Place

Following the structured selection process, two contributing partners were selected to support delivery across the initiative’s key workstreams.

QED42 will focus on the Innovation workstream, helping coordinate forward-looking capabilities aligned with the 2026 roadmap. QED42 has been an active contributor to Drupal AI efforts from the earliest stages and has played a role in advancing AI adoption across the Drupal ecosystem. Their contributions to initiatives such as Drupal Canvas AI, AI-powered agents, and other community-driven efforts demonstrate both technical depth and a strong commitment to open collaboration. In this role, QED42 will support structured experimentation, prioritization, and delivery alignment across innovation work.

1xINTERNET will lead the Product Development workstream, supporting the transition of innovation into stable, production-ready capabilities within Drupal CMS. As a founding sponsor and co-leader within the initiative, 1xINTERNET brings deep experience in distributed Drupal delivery and governance. Their longstanding involvement in Drupal AI and broader community leadership positions them well to guide roadmap execution, release planning, backlog coordination, and predictable productization.

We are grateful to QED42 and 1xINTERNET for their continued commitment to the initiative and for stepping into this role in service of the broader Drupal community. We also want to acknowledge the strong level of interest in this RFP and the high standard of submissions received, and to thank all participating organizations for the time, thought, and care invested in the process. The level of interest and quality of submissions reflect the caliber of agencies and contributors engaged in advancing Drupal AI.

Both organizations were selected not only for their delivery expertise but for their demonstrated investment in Drupal AI and their alignment with the initiative’s goals. Their role is to support coordination, roadmap alignment, and disciplined execution across contributors, ensuring that sponsor investment and community effort translate into tangible, adoptable outcomes.

Contracts began in early January. Two development sprints have already been completed, and a third sprint is now underway, establishing a clear and predictable delivery cadence.

QED42 and 1xINTERNET will share more details about their processes and early progress in an upcoming blog post.

Ready to Deliver on the 2026 Roadmap

With the 2026 roadmap now defined and structured delivery teams in place, the Drupal AI Initiative is positioned to execute with greater clarity and focus. The eight capabilities outlined in the one-year plan provide direction. Dedicated delivery management provides the coordination needed to turn that direction into measurable progress.

Predictable sprint cycles, clearer backlog management, and improved cross-workstream alignment allow contributors to focus on building, refining, and shipping capabilities that can be adopted directly within Drupal CMS. Sponsor investment and community contribution are now supported by a delivery model designed for scale and sustainability.

This next phase is about disciplined execution. It means shipping stable, well-governed AI capabilities that site owners can enable with confidence. It means connecting innovation to production in a way that reflects Drupal’s strengths in structure, governance, and long-term maintainability.

We are grateful to the sponsors and contributors who have made this possible. As agencies and organizations continue to join the initiative, we remain committed to transparency, collaboration, and delivering meaningful value to the broader Drupal community.

We are entering a year of focused execution, and we are ready to deliver.

Moving Forward Together

The Drupal AI Initiative is built on collaboration. Sponsors contribute funding and dedicated team members. Contributors bring expertise across UX, core development, QA, marketing, innovation, and production. Leadership provides coordination and direction. Together, this shared investment makes meaningful progress possible.

We extend our thanks to the 28 sponsoring organizations and the more than 50 contributors who are helping shape the future of AI in Drupal. Their commitment reflects a belief that open source can lead in building AI capabilities that are stable, governed, and built for real-world use.

As we move into 2026, we invite continued participation. Contributing partners are encouraged to align their work with the roadmap and engage in the active workstreams. Organizations interested in joining the initiative are welcome to connect and explore how they can contribute.

We have laid the foundation. The roadmap is clear. Structured delivery is in place. With continued collaboration, we are well-positioned to deliver meaningful AI capabilities for the Drupal community and the organizations it serves.