Agentic AI with Camunda and ChatGPT: An Insurance Claims Tutorial
A hands-on end-to-end Insurance Claims tutorial that brings Agentic AI concepts together with Camunda 8 and ChatGPT, kicking off a series on process-driven, enterprise-ready AI.
Just released a hands-on tutorial showcasing a simple end-to-end Insurance Claims process that brings together several core Agentic AI concepts, combining leading tools in process orchestration (Camunda) and large language models (ChatGPT).
If you’re technically minded, work in a regulated industry like financial services (which often struggles with AI adoption), or simply haven’t had the right opportunity to roll up your sleeves with AI, this is the perfect place to start.
This tutorial kicks off a broader series on "Process-driven Agentic AI", focused on going beyond the hype to explore how AI can be operationalised in structured, enterprise-ready ways.
In this tutorial, you’ll see
- Image classification of insurance claims using ChatGPT
- Retrieval-Augmented Generation (RAG) to reference policy terms
- Agent-style decision-making via structured prompts and JSON
- Full orchestration in Camunda 8 (no Docker required)
This isn’t about "playing with new toys". It’s about pragmatic, responsible AI adoption in real business workflows. In future tutorials, we’ll go hands-on with:
- Private LLMs and data sovereignty
- Enterprise-scale readiness and governance
- Turning AI into business value, not just clever demos
Let’s talk
I’ll be hosting both recorded and in-person sessions soon. Always happy to connect if:
- You’re exploring Agentic AI in your processes
- You’re trying to scale AI inside a regulated business
- Or you just want to bounce ideas