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Keep AI inside existing workflows
dotAI's content actions run as steps in your dotCMS workflows, under the same roles and permissions as your teams. The approval that governs the content governs the AI output too.
dotAI
AI Inside Your Guardrails
Generate, translate, tag, search, and automate content with the AI models your organization already approves.
dotAI works across your content operations while keeping every action inside the roles, permissions, workflows, approvals, and audit trails already governing your teams.
Automate with dotAI within your existing governance
AI should help your team get more done without adding a new governance layer. dotAI works within the permissions, workflows, and controls you already use.
Keep AI inside existing workflows
dotAI's content actions run as steps in your dotCMS workflows, under the same roles and permissions as your teams. The approval that governs the content governs the AI output too.
Automate the work that slows content teams down
Use dotAI for repeatable content tasks such as tagging, translation, metadata generation, image creation, and content search.
Your team spends less time on manual production work while keeping content inside the publishing environment they already use.
Control the AI stack behind your content
Connect OpenAI, Azure OpenAI, Google Vertex AI, Amazon Bedrock, Google AI, Anthropic, or OpenRouter using your own credentials, and choose the models that fit your organization, use case, and infrastructure.
Semantic search stays grounded in your dotCMS content, and embeddings can live in your own database.
AI capabilities stay connected to the same platform where your content architecture, users, and permissions are already managed.
Connect AI to the way you already build
Build front ends using supported frameworks and connect AI agents to your actual dotCMS content model through MCP.
Work with dotCMS through the UI, REST APIs, CLI, SDKs and MCP. Model content through the interface or manage content models as JSON or YAML in Git.
AI can help create and manipulate content structures while developers retain control over the application architecture.
02 / 04
Automate the work that slows content teams down
Use dotAI for repeatable content tasks such as tagging, translation, metadata generation, image creation, and content search.
Your team spends less time on manual production work while keeping content inside the publishing environment they already use.
03 / 04
Control the AI stack behind your content
Connect OpenAI, Azure OpenAI, Google Vertex AI, Amazon Bedrock, Google AI, Anthropic, or OpenRouter using your own credentials, and choose the models that fit your organization, use case, and infrastructure.
Semantic search stays grounded in your dotCMS content, and embeddings can live in your own database.
AI capabilities stay connected to the same platform where your content architecture, users, and permissions are already managed.
04 / 04
Connect AI to the way you already build
Build front ends using supported frameworks and connect AI agents to your actual dotCMS content model through MCP.
Work with dotCMS through the UI, REST APIs, CLI, SDKs and MCP. Model content through the interface or manage content models as JSON or YAML in Git.
AI can help create and manipulate content structures while developers retain control over the application architecture.
Governance does not disappear when AI enters the workflow
dotAI is part of dotCMS, the enterprise CMS built for compliance-led organizations. AI does not need to become a separate layer disconnected from the systems already controlling your content operations.
Access
An agent is given a dotCMS role and works inside it — the same roles, permissions, SSO and MFA that control what your people can view, edit, approve and publish.
Accountability
Maintain visibility into changes and content history across your publishing operation.
Version control
A change made by AI is versioned like any other change: route it through your existing approval workflow, or restore an earlier version.
Proof
Independently certified for AI management, not just security.
ISO 42001 for AI management. ISO 27001, SOC 2 Type II and TX-RAMP for information security.
dotAI Resource Center
Learn what’s new, what’s next and what’s possible with dotAI
Your go-to resources for the latest AI innovation, insights and guides.
AI in CMS
- 3 Aug 26
Bring your own AI model to dotAI
Bring your own AI model to dotAI in dotCMS. Choose from Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, Gemini, or OpenRouter to run writing assistance, workflows, auto-tagging, semantic search, and image generation within your approved cloud and governance rules.
- 24 Apr 26
From AI assisted to Agent-ready: How dotCMS is Building for the Agentic-age
Agentic AI is changing what enterprise content platforms need to do. The next CMS battle is not about AI features. It is about whether autonomous agents can safely create, govern, translate, and publish content through stable APIs, workflows, and audit trails. dotCMS is built for that shift.
- 21 Mar 26
Structured Content for GEO: How dotCMS Powers AI-Ready Digital Experiences
Discover how dotCMS revolutionizes AI-driven digital experiences with structured content for Generative Engine Optimization (GEO). Learn how our enterprise solution enhances AI visibility, enabling large language models to accurately process and cite machine-readable data. Dive into best practices for creating AI-ready content and explore the benefits of a headless CMS model. Optimize your content for AI discovery and experience seamless omnichannel delivery. Contact us to leverage dotCMS for your AI-powered search needs.