Drupal platforms, modernized with AI

Drupal is a flexible, open-source content management system (CMS) used to build complex, scalable websites. It’s known for strong security, multilingual capabilities, and granular content and user control, making it a top choice for enterprise, nonprofit, and public sector organizations.

Drupal is designed for structured content, complex workflows, and scale. It offers more control over permissions, content modeling, and integration, making it ideal for large organizations and high-governance environments.

Yes. Drupal is built for scale and performance. With proper configuration and caching, it supports millions of monthly users, powers global brands, and runs some of the world’s largest government and higher ed websites.

Very. Drupal has one of the most mature security teams in open source. It supports enterprise-level roles, permissions, audit trails, and update workflows—plus an active community that regularly patches vulnerabilities.

Yes. Multilingual is built into Drupal core. You can manage translated content, admin interfaces, and language-specific URLs natively—no plugins required.

Yes, though Drupal has a steeper learning curve than some CMSs. Once configured properly, editorial teams can publish content, manage media, and work through workflows without needing developer support.

A Drupal distribution is a pre-configured setup tailored to specific needs, like government, education, or publishing. Starter kits like Drupal Starshot help teams launch faster with smart defaults and common modules already included.

It depends on the version and customizations. Migrations from older versions (like Drupal 7) can be complex and require planning, auditing, and scripting. But once migrated, Drupal 10+ is built to be more upgrade-friendly going forward.

No. AI is not built into Drupal core. However, Drupal supports contributed modules that connect to AI services like OpenAI and machine learning APIs. These modules can enhance content workflows, metadata, translation, and more.

AI can support tasks like content summarization, auto-tagging, SEO cleanup, image alt text generation, translation suggestions, and personalization in decoupled front-ends. Most use cases focus on helping editorial teams move faster.

No. While AI can assist with writing content or suggestions, it doesn’t handle schema design, module development, API integrations, or infrastructure setup. Those still require skilled engineers.

It depends on how it’s integrated. We use trusted AI services, manage access through secure APIs, and never let third-party tools access sensitive content without controls. AI is optional—and only added where it makes sense.

In content workflows, AI can reduce editing time and speed up publishing in a matter of weeks. For personalization and SEO improvements, the impact depends on your traffic, tools, and existing process maturity.

Yes. AI translation tools can help generate first-draft translations or spot content mismatches—especially useful in large-scale, multilingual publishing workflows. Editors still review and approve final content.

Start small. Use AI for metadata or translation. Add helper tools into editorial workflows. Then, if it delivers clear time savings, expand to personalization or search enhancements. We can help you map it out.