Camunda Blog
23 sept. 2026
The Orchestrators: Inside the Build with Joyce Johnson
Every Camundi has a before and an after with AI. Discover how Joyce Johnson uses AI-first ways of working to build richer demos, streamline technical storytelling, and work faster at Camunda.
17 sept. 2026
ProcessOS Momentum Across Industries
Companies asking AI to solve their slower, more expensive problems are figuring out how to improve them with ProcessOS.
By Lana-Sophie Stawowski
16 sept. 2026
Why Bolting AI Onto Legacy Workflows Fails (and What NYC Enterprise Leaders Are Doing About It)
Enterprise leaders met at Camunda’s NYC Roadshow to discuss the AI Process Gap—and why real transformation requires re-engineering processes from the ground up on open standards.
Automated Cluster Restore Comes to Camunda 8 SaaS
Camunda 8 SaaS Enterprise customers can now restore a cluster from a backup themselves, in Console or through the API. What a backup covers, how restore works, and what we scoped out.
By Andrey Belik
9 sept. 2026
A Simpler, More Connected Camunda Experience: Meet the CamundaSuccess Center
The CamundaSuccess Center is your central location to finding answers, developing skills, and connecting with Camunda resources and expertise.
By Martin Kraemer
9 sept. 2026
The Data Says It: AI Isn't Failing You. Your Processes Are
Legacy business processes are causing AI initiatives to fail at a staggering rate. Let’s talk about process re-engineering.
8 sept. 2026
Where AI Really Creates Value and Where It Doesn't
Is the extra complexity of AI worth adding to a process? Here's how to tell where AI creates value and where it doesn’t, with examples, numbers, and one simple checklist.
By Maria Alish
3 sept. 2026
From Legacy BPM Migration to a Foundation for Continuous Re-engineering
Traditional migrations require months of disruption and high cost. What if it could move quickly while also building foundations for re-engineering that legacy platforms were never built to support?
By Lana-Sophie Stawowski
3 sept. 2026
Optimizing a Process for Target KPIs with AI: A Job Analysts Used to Do by Hand
Two processes. Clear KPIs. An honest look at the results, with real prompts, diagrams, and the AI's own reasoning.
By Maria Alish
