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Dynamixs.AI - How to Get Started

Dynamixs.AI is a modern AI platform that bridges artificial intelligence and business process management. Built on a low-code approach using BPMN 2.0, it enables organizations to seamlessly integrate AI systems into their business processes — empowering teams to build intelligent AI-assisted workflows and smart enterprise applications without deep technical expertise.

Dynamixs.AI combines the structure of business process management with the intelligence of modern AI systems. At its core, the platform lets you model, automate, and enhance business processes using BPMN 2.0 — enriched with AI capabilities that go far beyond traditional workflow automation. Here is what the platform brings to the table:

How It Works

The core idea behind Dynamixs.AI is simple: AI capabilities are integrated directly into your BPMN process models — not bolted on from the outside. Every AI interaction in Dynamixs.AI is triggered by a BPMN Event. Events are the natural trigger points in any process — they fire when a user submits a task, when a document arrives, or when a decision needs to be made. In Dynamixs.AI, Events can be equipped with AI Adapter classes that connect to a language model and execute a prompt automatically as part of the workflow processing cycle.

The prompt itself lives in the model too. A BPMN Data Object — a standard element of the BPMN 2.0 notation — holds the prompt definition and is connected to the Event via a simple Association. This means the entire AI behaviour of a process is visible and editable right inside the model, without touching any application code.

The result of each LLM call is stored back into the process instance as a named data field, where it can drive further steps — feeding into a conditional gateway, populating a form field, or triggering the next action in the process.

This approach has three important properties that set Dynamixs.AI apart:

  • Model-driven — Prompts and AI logic are part of the BPMN model, not hidden in configuration files or application code.
  • No deployment required — Changing a prompt is as simple as editing the model. No rebuild, no redeployment.
  • Process-aware — The AI always operates in the context of a running process instance, with full access to its data.

What This Guide Covers

  • How to Model — Learn how to connect AI capabilities to your BPMN process models using Events, Data Objects and Associations.

  • LLM Prompts — Configure the OpenAI API Adapter, write prompt definitions, and inject live process data into your prompts.

  • AI Assistants — Build multi-step AI assistants with layered prompt templates across Tasks and Events.

  • Asynchronous Prompting — Handle long-running LLM calls without blocking the user, using BPMN Async Events.

  • AI-driven Conditions — Let a language model make routing decisions at BPMN Conditional Gateways.

  • Installation & Deployment — Get Dynamixs.AI up and running with Docker Compose, and configure your LLM endpoints.