Harness the Power of AI with Drupal

We begin by assessing your organization’s current Drupal ecosystem, business and marketing goals, and data landscape. This phase ensures your AI strategy is aligned with real needs, compliance requirements, and enterprise priorities.
If your organization hasn’t yet defined a formal AI strategy, we’ll help you shape one through collaborative exploration and ensure alignment across business, technical, and security goals. As part of this, we can also assist in drafting or refining your AI policy documentation to meet evolving operational and privacy standards.

Key Deliverables: stakeholder workshops, AI opportunity mapping and system discovery.

Details

• AI readiness & content workflow assessment
• Data architecture and integration point discovery
• Stakeholder alignment workshops
• High-impact use case identification
• Prioritization by value, effort and feasibility

With insights from the discovery phase, we create a clear, scalable roadmap outlining how AI features will be used across your platform. This includes defining which AI features to introduce, when to introduce them, and how they will integrate with your existing systems and workflows.
We also address user adoption challenges by recommending change management strategies and training plans, ensuring your team feels confident using AI tools. Additionally, we provide preliminary cost projections and usage estimates to support informed decision-making and long-term planning.

Key Deliverables: prioritized use cases, technical design planning, actionable implementation timeline.

Details

• Use case refinement and prioritization by value, effort, and alignment
• AI feature rollout and technical architecture planning
• Tool selection (e.g. LLM providers, search engines, tagging tools)
• Risk and dependency mapping (editorial impact, performance, adoption)
• Milestone-based roadmap with long-term vision
• Initial cost and token usage estimation to support budgeting
• AI adoption planning with user onboarding strategies

Before full deployment, we build functional prototypes for selected AI use cases to evaluate performance, usefulness, and alignment with editorial workflows. These pilots are typically run in test environments that mirror your live platform setup, using the same data structures with redacted or anonymized content. This phase helps reduce risk, surface edge cases, and build confidence for production rollout.

Key Deliverables: functional prototypes of high-priority AI features, validation summary and go/no-go recommendations.

Details:

• Development and deployment of pilot features in a secure environment
• Use of redacted content to simulate real-world data conditions
• Hands-on testing with editorial, administrative and technical users
• Evaluation of model performance, impact and usability
• Feedback collection and iteration planning

We bring selected AI features into your production environment with a focus on performance, stability, scalability, and alignment with your existing architecture. Each functionality is implemented in close coordination with your current workflows, user roles and connected systems to support smooth adoption and minimize disruption across your teams.

Key Deliverables: fully integrated AI features, role- and permission-aware AI access, scalable solutions configured for AI capabilities.

Details:

• Role-based configuration to control how and where AI is applied
• API/middleware orchestration for LLMs and AI services
• Logging and fallback mechanisms to handle output errors or timeouts
• Custom or contributed module development for AI interactions
• AI integration into existing CI/CD pipelines with automated testing
• Manual override options for editorial and administrative review

AI in Drupal is only as effective as the people using it. We deliver enablement sessions to help editorial and development teams confidently adopt new AI features as part of their daily workflows, while also equipping key stakeholders with a clear understanding of how these systems function and make decisions. These sessions emphasize hands-on usage, content quality, and responsible implementation across roles.

Key Deliverables: team-focused training sessions on AI use cases, role-specific onboarding for editorial and administrative users, stakeholder briefings.

Details:

• Practical training for editorial teams on AI-assisted workflows
• Clear AI usage guidelines focused on transparency and responsible adoption
• Administration walkthrough for configuring AI features
• Development team sessions covering configuration and extension options
• Feedback loop setup for ongoing improvements

After the initial deployment of AI functionalities we continuously support your team in monitoring performance, refining AI behavior, and extending capabilities across departments and integrated systems. Our focus is on helping you adapt intelligently as needs evolve, improving usability and maintaining long-term efficiency at scale.

Key Deliverables: post-deployment performance review and optimization plan, expansion roadmap.

Details:

• Collaboration with stakeholders to improve AI-driven workflows across business units
• Logging and reporting on AI usage patterns, adoption, and measurable impact
• Model usage guidance and retraining strategy when necessary
• Technical and strategic support for scaling across additional business units or Drupal instances