Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Daniel Meyer, Chief Technology Officer and Jakob Freund, CEO and Co-Founder, Camunda
As AI pilots stall and pressure increases to realise tangible business benefit, the Camunda leadership team shares two key 2026 predictions on how enterprises will unlock AI’s value in the next year. Camunda’s CEO and CTO highlight the role of multi-agent orchestration and enterprise agentic automation in reducing risk and delivering AI autonomy at scale, driving both operational and customer experience benefits.
See below:
1) Multi-agent orchestration will bring order to agentic AI chaos
Multi-agent orchestration will be a big focus next year as organizations look to realise greater value from their disparate agentic AI investments. The next chapter of agentic AI is less about how smart any single agent is and more about how well organizations can co-ordinate multi-agent interactions, while maintaining the highest levels of governance and accountability. Through multi-agent orchestration, organizations can enable their agents to plan collaboratively, delegate work and react in real time, while maintaining full visibility. This will enable organizations to truly take operational efficiency and customer experience to the next level.
Daniel Meyer, Chief Technology Officer, Camunda
2) Enterprise agentic automation will turn AI potential into business reality
In 2026, enterprise agentic automation (EAA) will close the gap between the vision and reality of agentic AI. Many agentic AI initiatives have hit a ceiling, with most pilots failing to scale beyond isolated, task-level use cases. EAA reimagines what is possible. By blending dynamic AI with determinist guardrails and human-in-the-loop checkpoints, enterprises will be empowered to automate complex, exception-heavy or cognitive work without losing control.
EAA combines policy and technology to design, govern and orchestrate agents, humans, and systems across end-to-end processes to deliver trusted AI autonomy at scale. Role-based permission and human-in-the-loop checks provide greater control over outputs, striking the right balance between agent autonomy and human oversight. With pressure on many organizations to start demonstrating a real return on their AI investments, EAA will be the key to reduce risk and technical debt while unlocking meaningful business outcomes and real ROI.
Jakob Freund, CEO and Co-Founder, Camunda
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ABOUT THE AUTHOR
Jakob Freund, CEO and Co-Founder
Jakob is the co-founder and chief executive officer, and is responsible for setting a bold vision and strategy for Camunda. He is also the driving force behind Camunda’s global growth and cohesive company culture. Jakob co-authored the best-selling book, “Real-Life BPMN,” and is a sought-after speaker at technology and industry events. He holds an MSc in computer science from Hochschule f�r Technik und Wirtschaft Berlin.
Daniel Meyer, CTO
Daniel is the chief technology officer at Camunda, where he leads the product and engineering teams. He is the visionary behind some of Camunda’s biggest technological advancements, and is responsible for end-to-end development and maintenance of Camunda’s industry-leading products. An active speaker about automation and process orchestration, Daniel presents frequently at technology industry events. He holds an MSc in computer science from University of Potsdam.
