The History of Process Orchestration

Tonkean
Tonkean
May 21, 2025
May 21, 2025
20
min read
The History of Process Orchestration

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.

1. The etymological history of process orchestration

Let’s start with language. The term “process orchestration” blends two concepts:

  • Process:
    • From Latin prōcessus ("forward movement"), via Old French proces.
    • In business, the term has long meant a series of steps to achieve a specific goal.
  • Orchestration:
    • Derived from Greek orchestra, later adopted into Latin and Old French as the place where ensembles coordinate performance.
    • By the 18th century, orchestration meant specifically arranging music to be performed by an orchestra—organizing multiple instruments harmoniously.

Combined, process orchestration conveys the idea of coordinating multiple tasks, systems, and people harmoniously toward a common objective.

2. Early business origins (pre-software era)

  • Early 20th-century management theories emphasized standardized, coordinated processes to enhance productivity (think Taylorism, Fordism).
  • Then mid-century methods such as Business Process Management (BPM) emerged, initially documented clearly in manufacturing and logistics. “Orchestration” wasn't explicitly used yet; instead, coordination or management was the typical terminology.

3. Software & tech origins (~1980s–2000s)

  • Early workflow automation (1980s–90s) introduced software capable of managing sequential tasks.
  • The 90s–early 2000s then brought a rapid rise in complexity to the modern enterprise, as companies adopted many different specialized systems (CRM, ERP, HR software).
  • This greatly increased the need for means of simplifying enterprise processes and improving increasingly fragmented internal processes.
  • The term “orchestration” specifically entered software industry jargon during the rise of Service-Oriented Architecture (SOA) in the late 1990s and early 2000s, when multiple software services needed to interact seamlessly.

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. 

4. Modern Definition & Usage

Today, process orchestration broadly means:

Using technology to automatically coordinate business processes across multiple systems and people to ensure efficiency, consistency, and compliance.

Current Exemplar Use Cases:

1. Purchase Request Intake & Triage

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:

  • Employees get a guided, intuitive purchasing experience—right in Slack, Teams, or a custom portal.
  • AI triages requests in real time, routing them to the right owners and automating approvals where appropriate.
  • Procurement gains full visibility and control without becoming a bottleneck.

Business outcome: Reduced cycle times, lower risk of non-compliance, and increased spend under management.

2. Contract Lifecycle 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:

  • Legal teams can create personalized intake flows that standardize submissions and ensure complete information.
  • AI handles routine tasks like generating NDAs or flagging missing fields.
  • Workflows route documents through approval, redlining, and execution—all while syncing with CLMs and e-signature tools.

Business outcome: More efficient legal operations, fewer delays, and stronger compliance.

3. Supplier Onboarding

Supplier onboarding is often a complex, multi-stakeholder process that spans procurement, legal, finance, and IT.

With process orchestration:

  • All stakeholders engage through a single coordinated workflow, automatically collecting necessary docs, signatures, and risk reviews.
  • Progress is transparent to requesters and teams alike, reducing back-and-forth and guesswork.
  • Orchestration ensures adherence to policies—no matter how the request was initiated.

Business outcome: Accelerated onboarding, lower risk exposure, and happier stakeholders.

4. Employee Services Intake (HR, IT, Finance)

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:

  • Employees interact with a centralized “AI Front Door” that understands plain language requests and kicks off the right workflow.
  • Simple requests are resolved instantly; complex ones are routed with full context to the right team.
  • Workflows span across tools like ServiceNow, Workday, and JIRA—no toggling required.

Business outcome: Greater employee satisfaction, reduced ticket resolution times, and better internal service delivery.

5. M&A Integration Workflows

Mergers and acquisitions create massive operational complexity across every function—from consolidating suppliers to aligning policies and systems.

With process orchestration:

  • Enterprises can quickly spin up tailored workflows to manage employee transitions, system migrations, and policy alignment.
  • Orchestration ensures that new teams follow the correct procedures from day one.
  • Governance controls maintain compliance throughout the transition.

Business outcome: Faster integration, reduced operational risk, and more value realized from the deal.

6. Agentic orchestration 

Agentic orchestration is, in effect, the science of process orchestration applied to AI agents… but more on that below.

5. Integration with AI and AI agents

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.

6. Categories of process orchestration platforms and their relative capacity

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:

  • In-system/local orchestration. The tool can orchestrate different parts/modules of its own system/suite, and is confined to a single application or suite. Defines and automates workflows within an application. These workflows must be predefined and must remain inside the same system.
  • Stakeholder/approval orchestration. The tool can orchestrate certain parts of a process across certain systems (for example: approvals, notifications, etc). Some actions can be taken in connected applications. Processes consist of a single, predefined start and end point, and remain anchored to the “orchestration” platform as the primary interface and source of truth. The steps are configurable.
  • End-to-end/enterprise orchestration. The tool can orchestrate entire business processes across systems. Data is passed seamlessly between systems "behind the scenes." Any and all actions can be taken in any connected system. (Examples: intake can be completed inside a travel system, approvals in email, req directly in an ERP, reporting in Looker). All the while the process itself is defined and automated by the orchestration tool. Defines and automates workflows across all relevant parts of the enterprise tech stack, with or without using the orchestration platform as a primary interface and/or source of truth. Full flexibility, customizable at any point - supports multiple starting points and multiple end points (many to many). Tonkean provides an example of this sort of orchestration.

🎯 Conclusion

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. 

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