Flowable

The horse and harness analogy for AI agents is one of the clearest we've heard. Flowable CTO, Micha Kiener, put it simply: "You use that harness to steer the horse, to stop it, to say 'go left, go right.' It's no different with the harness around agents. That gives tools, memory, what context, what data is mapped into an agent at every given time, what permission they run on, what conditions have to be met, guardrails around input as well as output of agents, and of course everything audited." Without a harness, an agent is just raw horsepower: powerful, but ungovernable. With one, you get direction, control, and accountability. Want the full picture? Click the link in the comments to watch the full webinar, "Agentic AI Needs Orchestration: From Siloed Agents to Business Outcomes." #AgenticAI #AIOrchestration #EnterpriseAI

Flowable Summer Release 2026.1 is live. Every platform shipping AI right now will tell you governance is built in. What they mean is: there's an audit log. Maybe a human-in-the-loop checkbox. In Flowable, the case defines what an agent is allowed to do before it acts: which step, which data, which outcome, under which conditions. CMMN isn't a wrapper around the agent. It is the constraint the agent runs inside.  This is the real AI harness for trust and governance at scale. That matters in banking, insurance, and healthcare, where whoever signs off on your AI implementation has to answer for it. The audit trail isn't an afterthought, it's the architecture.  Reliable AI for regulated industries and high-stakes processes. That's what we shipped. Click the link in the comments to read more.  

Can you really own your AI strategy if the model behind it is just rented? Joram Barrez breaks down why that question is becoming the defining one for enterprise AI, and what it means to actually control it. Worth a read 👇 #AgenticAI #AIOrchestration #EnterpriseAI

What is agentic orchestration, and what does it actually do? It coordinates AI agents, systems, and people across a business process: routing work to the right actor, keeping context intact, and logging who did what, in what order, on whose authority. Multi-agent systems create capability. Orchestration creates accountability. Agents reason, and reasoning produces variation. Orchestration holds that variation inside a defined role, checks it against policy, and routes it to the right next step. Click the link in the comments to read the full breakdown. #AgenticAI #AIGovernance #EnterpriseAI

Will AI mean less demand for software engineers? Joram Barrez and Micha Kiener don't think so. As Joram puts it: "With AI there's gonna be way more software, but way more need for software engineers." Why? "The difference between just a generated UI or a UI that people love to use, that's where you need the experts for." The mechanical part gets automated, the rest doesn't. Micha frames it as a skills shift: "A switch of skills more towards understanding the business, understanding everybody's need, every touchpoint. What's the optimal way to represent it, to bring that touchpoint to the participant, instead of coding skills." Go deeper in our webinar: "Agentic AI Needs Orchestration: From Siloed Agents to Business Outcomes." Click on the link in the comments to watch the full session. #AgenticAI #AIOrchestration #AIGovernance #SoftwareEngineering

Most AI deployments in regulated industries follow the same pattern: a pilot works, then someone asks "what happens when the agent is wrong?" and the project stalls. The question isn't whether AI can automate the task. It's whether the process around it can hold. Next week, we're releasing something built on a different premise: the case, not the agent, governs what happens next. Stay tuned. #Flowable #AICompliance #ProcessAutomation #AgenticAI 

⚽ Great conversations. New connections. A memorable World Cup evening. Thank you to everyone who joined Flowable and adesso Schweiz AG at the FIFA Museum in Zurich yesterday. It was a fantastic opportunity to connect with leaders exploring how AI can create meaningful business value while sharing the excitement of the FIFA World Cup. We appreciate everyone who contributed to the discussions and helped make the event a success, especially Andrea Buzzi, Karlo Buljac, Thressiya P., and Valentin Zickner for sharing their expertise. If we didn't have the chance to connect during the event, we'd be happy to continue the conversation. Click the link on the comments for a demo. #WorldCup2026 #AITransformation #AgenticAI #Innovation #Networking

The model isn't what matters most. What matters is the harness around it. Tijs Rademakers unpacks how Flowable builds that discipline in with visual and test models. Worth a read. #AIEngineering #AIharness #AI

A lot of "AI agent" builds we see today are really one big prompt trying to wing an entire workflow. Our CTO Micha Kiener unpacks why that's a shaky foundation and shares a more disciplined alternative: let the process itself stay deterministic, and bring in AI only for the steps where real judgement is needed. Read his take here 👇 #AIAgents #ProcessAutomation #AIEngineering

Missed our webinar? The recording is now up. Joram Barrez and Micha Kiener sat down to unpack how Flowable approaches agentic AI orchestration, and where this is all heading: a future where software gets generated, UIs get generated, and the model itself becomes the artifact your teams govern and run. Building an AI agent takes an afternoon. Keeping it running reliably inside a real business is the part nobody warns you about. That gap has a name: orchestration. Here's what they dug into: - Durable state, no matter how long the process runs - Giving each model only the tools it needs, nothing more - Keeping humans in the loop at the moments that matter - Versioning agents without breaking work already in flight - Producing an audit trail you can actually stand behind Watch the full session, "Agentic AI Needs Orchestration: From Siloed Agents to Business Outcomes," via the link in the comments. #AgenticAI #AIOrchestration #AIGovernance