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Why process orchestration is the next frontier in AI

The power of automation and AI has reached a point where the question is no longer what we can automate, but how we can intelligently connect all these disparate processes, tools, and solutions. Without a clear strategy for making them work together, the result is pure chaos: a collection of powerful but isolated tools that fail to deliver on their full potential. This challenge is known as orchestration, and it's one of the biggest hurdles organizations face today. We sat down with our expert Ruben Vermaercke to discuss why this is such a critical issue and what the path forward looks like.

Why is orchestration a major challenge nowadays?

If you look at the landscape within most organizations, you see a mix of process automation, new AI initiatives, AI agents, and a complex web of existing applications. Over the years, investments have been made in many isolated initiatives to solve specific problems.

The result is a patchwork of point solutions. While each may be valuable on its own, little thought has been given to how they can all connect and operate in a structured, cohesive way. The real challenge lies in bridging these silos to create seamless, end-to-end value streams.

Are AI agents a solution or just another layer of complexity?

That's a difficult but very important question. On one hand, AI agents hold immense promise as a solution. The concept of a "master" AI agent that can intelligently orchestrate other automation solutions and AI agents is a huge opportunity. It could be the brain that finally connects the entire digital workforce.

On the other hand, while this is possible in theory, we haven't seen it proven at scale in practice yet. Without the right approach, new AI agents could simply become another isolated component, adding a new layer of complexity to an already fragmented system. It's a double-edged sword, and I am personally very curious to see how this evolves.

Are there already solutions for orchestration?

In theory, yes.  Several platforms have made significant progress in process orchestration. From BPM and workflow engines to emerging AI-native orchestrators like Microsoft Copilot Studio, Microsoft Agent Frameworks, and UiPath Maestro. These tools introduce promising building blocks for coordinating automations, workflows, and AI agents.  

In practice, however, most large organizations have accumulated such a diverse mix of automations, AI initiatives, and applications that no single product delivers a complete, end-to-end orchestration layer. The perfect off-the-shelf solution that seamlessly connects everything simply doesn’t exist yet.

That’s why the answer isn’t to wait for a magic tool, but to actively explore and assemble an orchestration approach that fits each client’s unique ecosystem. The technology is evolving quickly, but the real value lies in designing the right architecture and stitching the pieces together in a way that works for the organization.

Conclusion: the search for a unified strategy

Orchestration is the critical link between having a collection of digital tools and having a truly intelligent, automated enterprise. While a single, universal solution remains on the horizon, the path forward starts today. It requires a strategic shift away from building isolated solutions and toward designing a cohesive ecosystem where every component works in harmony.

This is a complex journey, but it's one that every organization must embark on to unlock the true, transformative power of their AI and automation investments.

Are you struggling to connect the dots between your various automation and AI initiatives? Let's brainstorm on a practical orchestration strategy for your organization.

Ruben Vermaercke
December 17, 2025
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