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AI development for Drupal

Add AI where it fits your Drupal platform. Automate editorial work, let users ask questions across approved content, or improve how answer engines find and cite your pages.

Choose the path that matches your current problem and start with one focused pilot.

Tell us what you want AI to do

Your Drupal site is falling behind AI-native competitors

Publishing at scale is getting harder without AI. Editors spend hours on translations, metadata and alt texts that AI can handle in seconds. Visitors expect instant answers, not a search box that returns ten links. Your content is also invisible to the LLMs people now use before Google.

The question isn't whether to adopt AI - it's how quickly you can implement AI solutions before the competitive gap becomes impossible to close.

Choose the Drupal AI service that matches your problem

Drupal can support several types of AI work. Each service below has a separate scope, process and first step. Start with the problem you want to solve rather than a model or tool.

Developer working on generative artificial intelligence at Droptica.

Drupal AI chatbot with RAG

Let visitors, members or employees ask questions across selected Drupal content. The chatbot retrieves approved sources, respects access rules, cites the pages behind its answer and routes uncertain requests to a person.

Explore Drupal AI chatbot development

AI on Drupal in production

ProjektMagazin.de uses a Drupal AI chatbot with RAG. BetterRegulation uses AI document categorization and AI summaries. Exide uses AI-assisted multilingual publishing workflows in Drupal.

AI document chatbot for ProjektMagazin.de.

A Drupal subscription platform needed faster access to hundreds of resources. We built a RAG chatbot that answers in natural language from Drupal content.

See case study

AI document categorization for BetterRegulation.

On a Drupal platform for regulatory content, AI extracts metadata and prepares summaries of long legal documents.

See case study
The development of AI agents is one of the AI solutions we offer our clients at Droptica.

Drupal AI automation for content teams

Map Word files and PDFs to Drupal fields, draft translations, metadata, alt text and summaries, and keep editor approval inside the CMS. Start with one workflow on real content and measure the result before expanding.

Explore Drupal AI automation

Cloud APIs

OpenAI, Anthropic, Google Gemini and DeepL are fast to set up for public content, translations, summaries and chatbots.

On-premise models

Llama, Mistral, Gemma, Qwen, DeepSeek, Bielik or PLLuM keep sensitive content inside your infrastructure.

Cloud and on-premise AI models — your choice

We do not lock you into one provider. Drupal AI can use cheaper models for bulk metadata, stronger models for translation quality, and local models where governance requires it.

Get AI integration quote
The Droptica team, which develops generative artificial intelligence.

Generative engine optimization for Drupal

Improve how ChatGPT, Perplexity, Claude and Gemini understand and cite your Drupal pages. We measure the current answers, implement changes in content and Drupal, publish the first batch and rerun the same questions.

Explore generative engine optimization services

API costs are controlled by design

We use cheaper models for bulk work, stronger models where quality matters, cache results in Drupal and estimate volume upfront.

GDPR and data privacy stay in scope

We minimize data before API calls and deploy on-premise LLMs when content cannot leave your environment.

Our AI team creates AI solutions that identify patterns, detect anomalies, and predict future trends.

What we need to get started

The best AI projects start with one concrete use case: chatbot for documentation, automated alt texts, translation workflow, SEO metadata or LLM visibility.

How we implement AI on your Drupal site

We start small, test on real content, then move to production with monitoring, documentation and editor training.

Step 1: Research and strategy

We start with a discovery workshop to understand your business challenges, identify AI opportunities, and define success metrics aligned with your business objectives. Through detailed analysis of your workflows, data sources, and existing systems, we create a tailored AI strategy and implementation roadmap.

Step 2: Architecture and planning

Our team designs the technical architecture for your AI solution: selecting optimal AI models (GPT, Claude, open-source LLMs), planning integrations with your systems, and defining data pipelines. Data preparation strategies ensure your AI models have quality input. We create detailed project specifications, timelines, and resource allocation.

Step 3: Prototype and Proof of Concept

Before full development, we build a working prototype to validate the approach. This rapid proof-of-concept demonstrates core functionality, identifies potential challenges early, and ensures the AI solution meets your expectations before significant investment.

Step 4: Development and integration

Our developers build production-ready AI solutions with clean code, comprehensive documentation, and best practices. We integrate AI models with your existing systems (CRM, databases, APIs), implement security measures, and optimize for performance and cost.

Step 5: Testing and Quality Assurance

Rigorous testing ensures your AI solution works reliably in production. We conduct security testing (prompt injection, data leaks), performance optimization, edge case handling, and user acceptance testing. Automated checks and manual QA catch issues before deployment.

Step 6: Deployment and launch

We deploy your AI solution to production infrastructure with zero-downtime releases. Comprehensive monitoring, error tracking, and performance metrics ensure smooth operation. Team training and knowledge transfer help your staff use and maintain the system.

Step 7: Optimization and support

Post-launch, we monitor AI solution performance, gather user feedback, and continuously improve. Regular updates keep models current, optimize costs, and add new features. Ongoing support ensures your AI investment delivers lasting value.






 

See our AI case study →

Why Droptica for AI on Drupal

We are a Drupal agency first. AI is added inside your platform, not bolted on as a fragile external layer.

10+ years of software development

With over a decade in software development, we've been at the forefront of technological evolution. Our rich experience guarantees that your AI projects benefit from tried-and-true methodologies infused with cutting-edge innovations.

Innovation-driven approach

Staying updated with the latest AI technology is our daily practice. Leveraging state-of-the-art tools, techniques, and trends (GPT, Claude, Llama, LangChain), we ensure your AI solutions are always a step ahead of the competition.

Rigorous testing and QA

Comprehensive testing protocols, automated checks, and manual QA ensure your AI solutions work as expected in production. Security testing (prompt injection, data leaks), performance optimization, edge case handling.

ISO27001 certified security

Your data security is our priority. We're ISO27001 certified and based in the European Union, ensuring full GDPR compliance and adherence to strict EU data protection standards. Every AI solution includes prompt injection protection, secure API key management, data encryption, and responsible AI development practices.

Flexible engagement models

Fixed price, Time & Materials, or dedicated team - we adapt to your project needs and budget. Transparent pricing, no hidden costs. Clear milestones and regular progress updates throughout development services delivery.

Transparent communication

Clarity, openness, and timely communication form the foundation of our partnerships. Regular updates, clear milestones, and open channels keep you informed throughout the entire AI development process.

End-to-end AI development

From discovery workshops and prototyping to deployment and ongoing optimization - we cover the full generative AI development lifecycle. Strategy, development, integration, support - all under one roof.

How much does AI development for Drupal cost?

Every project is scoped after the free consultation. Cost depends on use cases, content volume, cloud APIs or on-premise LLMs, and ongoing support.

Every project includes: discovery workshop, technical documentation, production deployment and testing, post-launch support, and knowledge transfer for your team.

AI models and technology

  • Cloud APIs such as OpenAI, Anthropic and Gemini — usage-based pricing.
  • Open-source LLMs (Llama, Mistral) — hosting and ops, no API fees.
  • On-premise models when content cannot leave your network.

Development scope

  • Focused MVP: one chatbot or one editorial workflow.
  • Integration with your Drupal content model, permissions and review queues.
  • Enterprise scope with custom agents, governance and monitoring.

Ongoing investment

  • API traffic and model usage for cloud setups.
  • Hosting and maintenance for on-premise models.
  • Support, tuning and editor onboarding after launch.

Ready to add AI to your Drupal site?

Talk to our team. We will tell you what is realistic, what it costs and where to start.

Book a free consultation

AI for your Drupal site, or AI for your whole company?

This page covers AI inside Drupal. If you want company-wide AI agents, internal knowledge assistants, n8n workflows or on-premise LLM operations, see droptica.ai.

Frequently asked questions

Choose Drupal AI automation when editors repeat content tasks inside the CMS. Choose a Drupal AI chatbot when users need answers from selected content. Choose generative engine optimization when you want external answer engines to understand and cite your public pages. If the scope is unclear, send us the Drupal URL and the first problem you want to solve.

Usually, yes. We first review the Drupal version, content model, permissions, hosting, integrations and the selected use case. The result shows whether configuration is enough or whether the project needs custom development or an upgrade.

Yes. A focused pilot limits the content, users and integrations involved. It gives the team real results to review before a wider rollout.

The choice depends on data sensitivity, languages, expected volume, infrastructure and operating cost. A mixed setup can use different providers for different tasks.

Editorial workflows keep review and publication with authorized users. Chatbots use access filters, citations and a human fallback. GEO work connects recorded evidence to approved Drupal changes without promising a guaranteed citation or position.

Cost depends on the use case, Drupal structure, content volume, user roles, integrations, model or search usage, testing and post-launch support. We prepare a scoped estimate after reviewing the first use case.

Your team can take ownership after handover, or Droptica can provide monitoring, updates, security work and further development under an agreed support scope.

Tell us what you want AI to do in Drupal

Send us your Drupal site URL, current version if known, and the first problem you want to solve: repetitive editorial work, questions users cannot answer through search, or weak visibility in AI-generated answers.

We will review the scope and suggest the right service and first pilot.