Agentic Development
Mendix runs agentic AI from planning to production. Scale without sacrificing governance.
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Agentic AI is changing what enterprises build and how they build it. Mendix brings agentic AI natively into the development workflow, so teams can build and orchestrate agentic solutions grounded in their organization’s data model, business logic, and architecture.
Agentic ApplicationsBuild agentic applications ready for enterprise demands: maintainable, scalable, and designed to grow with your business.
AI Across the Full Delivery CycleAgentic AI works across the entire delivery process, from planning to deployment, wherever your business needs to run.
open architectureConnect your own knowledge base, agents, and large language models (LLMs). Mendix integrates with the tools and infrastructure your organization already depends on.
Visual Models Anyone Can OwnAbstraction and automation turn technical complexity into visual clarity, bringing more people into the development process.
enterprise governanceSecurity, compliance, and audit trails are built into the platform, so what gets shipped meets enterprise standards from day one and stays maintainable as the organization evolves.
By using Mendix, we can easily incorporate cutting-edge technologies such as generative AI, enabling us to achieve continuous innovation while also dealing with more advanced and complex challenges.
Hajime Suzuki | R&D Group Manager
The most valuable AI investments are applications that change how the business operates. Mendix gives organizations everything they need to build, deploy, and run production-grade agentic applications and AI agents.
Connect agents across the systems the business runs on
Orchestrate complex workflows that span both human and automated steps
Deploy mission-critical applications with reliability and compliance built in from day one
Maia is the agentic AI inside Mendix. It plans the work, executes it step by step, and maintains quality across every stage of delivery. It works within your existing architecture, tools, and standards, so what gets built fits the organization from day one. Less back-and-forth, less rework.
Plan and build on your organization’s real context and architecture
Execute complex, multi-step development tasks autonomously, from requirements to deployment
Reduce revision cycles with consistent output at every step
In Mendix, AI generates visual models, giving everyone who understands the problem a direct path to building the solution. Domain experts can read, validate, and build on what AI produces without writing a line of code.
Remove the specialist bottleneck from every stage of software delivery
Enable anyone who understands the problem to contribute directly to the solution
Close the gap between business intent and working software in production
Governance that works at the project level tends to break when the portfolio grows. Mendix enforces governance centrally, across every app, agent, and workflow, so the rules that apply in one business unit apply everywhere.
Enforce consistent security, compliance, and risk policies across the full portfolio
Maintain a real-time view of every asset, regardless of how or where it was built
Close the blind spots that shadow IT and shadow AI create
Production-ready agentic solutions: AI agents that reason across systems, automate multi-step workflows, and operate with minimal human intervention while keeping humans in control where it matters. The difference from what most enterprises can build today is that these applications are enterprise-grade from the first deployment: governed, auditable, maintainable, and built to scale across the portfolio rather than as isolated experiments and demos.
Most AI development tools generate code in response to a prompt. Maia executes across the full delivery cycle within a platform that already understands your architecture, standards, and business logic. The output is not raw code that needs to be reviewed, secured, and maintained. It is a visual model that anyone on the team can inspect, modify, and hand over.
Control is structural in Mendix, not procedural. Every output Maia produces is inspectable by design. Policies are enforced centrally across every application, agent, and workflow, not set per team or per project. Human-in-the-loop oversight is built into the platform, so AI executes within boundaries the organization defines and can change at any time.
By building on visual models rather than generated code. Visual models are readable, transferable, and consistent across the portfolio regardless of who built them or when. The solutions your teams build today on Mendix are as maintainable in three years as they are on day one because the knowledge lives in the platform, not in the people or the prompts that created them.
No. Mendix is designed to work with the agentic ecosystem your enterprise is already building, not replace it. The platform integrates with external AI models, development tools, and enterprise systems through an open architecture. As the AI landscape evolves, you can adopt new models and capabilities. Mendix becomes the governed foundation on which the broader ecosystem runs instead of a ceiling on what it can do.