Process orchestration has emerged as a foundational component of the modern-day enterprise.
The functional importance of being able to effectively orchestrate your organization’s various component parts—from data stored in systems like Salesforce to the skillsets of your human employees to AI agents that can pull information from all your internal systems and present them to humans when and where they need it—is discussed daily by executives from Workday to IBM.
The importance is at least two-fold. Process orchestration is the key to leveraging your existing technology investments more seamlessly and harmoniously, such that the process experiences you provide employees are truly beneficial for them. It’s also the best way to make new innovative capabilities available to employees, such that you’re always empowering them efficiently. As Tonkean co-founder Sagi Eliyahu recently put it in Crunchbase, “The essential infrastructure for AI in the enterprise isn’t your LLM—it’s orchestration.”
But for as important as everyone generally recognizes process orchestration to be, it remains surprisingly misunderstood. We misunderstand its history, including its etymological and cultural roots. But that history turns out to illuminate much not only about what this sometimes-nebulous-seeming technology is and can do, but about where it’s headed, what exactly constitutes enterprise-grade orchestration—and why soon it will become even more crucial to our organizations than it is today.
We regularly update this in-depth primer, “What is Process Orchestration,” with new information and learnings as they come in.
But if you want to learn about the history of process orchestration technology in the enterprise… this is for you.
Let’s start with language. The term “process orchestration” blends two concepts:
Combined, process orchestration conveys the idea of coordinating multiple tasks, systems, and people harmoniously toward a common objective.
By early 2000s, “process orchestration” became established, explicitly referencing software platforms that endeavor to automate and harmonize business processes across these multiple siloed applications and teams.
Still, the idea of using software to manage for operational complexity remained at heart something of a contradiction—wait, you want to reduce complexity by… adding more software to your tech stack?—for a very long time.
That began to change with the development of platforms like Tonkean that operate in what is sometimes called the “orchestration layer” of your technology stack. These are platforms that can wrap around your organization’s existing mix of tools, people, and policies.
Such technology remains relatively rare, but it makes possible what we think of as “true” orchestration, which requires being able to orchestrate processes across all your organization’s various moving parts, including all your different technology environments and departments.
Today, process orchestration broadly means:
Using technology to automatically coordinate business processes across multiple systems and people to ensure efficiency, consistency, and compliance.
Procurement teams often juggle thousands of purchase requests across disparate systems. Without orchestration, this leads to delays, rogue spend, and frustrated stakeholders.
With process orchestration:
Business outcome: Reduced cycle times, lower risk of non-compliance, and increased spend under management.
Legal departments are flooded with intake requests—NDAs, contract reviews, and regulatory inquiries—often submitted in inconsistent formats and through ad hoc channels.
With process orchestration:
Business outcome: More efficient legal operations, fewer delays, and stronger compliance.
Supplier onboarding is often a complex, multi-stakeholder process that spans procurement, legal, finance, and IT.
With process orchestration:
Business outcome: Accelerated onboarding, lower risk exposure, and happier stakeholders.
Enterprise teams like HR and IT often serve as internal helpdesks but struggle with fragmented tools and unclear processes for intake and resolution.
With process orchestration:
Business outcome: Greater employee satisfaction, reduced ticket resolution times, and better internal service delivery.
Mergers and acquisitions create massive operational complexity across every function—from consolidating suppliers to aligning policies and systems.
With process orchestration:
Business outcome: Faster integration, reduced operational risk, and more value realized from the deal.
Agentic orchestration is, in effect, the science of process orchestration applied to AI agents… but more on that below.
The future of process orchestration increasingly involves orchestrating AI agents, alongside people and data, across your business processes.
AI agents—autonomous software capable of perception, decision-making, and independent action—expand orchestration’s possibilities significantly.
Now, you can create and manage processes that make available to human employees—when and where they need them—specialized agents that can work autonomously to pursue goals and that can collaborate with humans to do the same, providing contextual assistance at exactly the right moments (e.g., recommending actions or alerting stakeholders), and that will continuously learn from user interactions, outcomes, and evolving business conditions.
The process orchestration platforms available on the market today are hardly one-size-fits-all, and they're not created equal in terms of either capacity or purpose. There are a few different kinds of orchestration you see in the enterprise currently. Here are the most prominent, along with what you need to know about what they're capable of:
Process orchestration has evolved a ton from its conceptual origins inside the enterprise years ago. It will continue to evolve. Imagine AI agents acting as orchestrators that automatically optimize business processes, continuously improving without explicit human direction—becoming proactive partners in strategic decisions, rather than mere automation tools.
But wherever process orchestration goes from here, it will continue to revolve around these ideals of harmony, humanity, connection, and empowerment.
We know this not because we have a crystal ball, but because we see it with the enterprise organizations we work with who’re on the cutting edge of implementing AI-powered process orchestration internally.
Want to learn more about how they’re doing it, and what they’re learning? Learn more about Tonkean’s no-code orchestration platform here.