Introducing the Process Orchestration Maturity Model

Assessing the value of process orchestration to your organization's strategic automation efforts

Process orchestration maturity model

Introduction: Process orchestration as a strategic imperative

Process orchestration is critical to accelerating automation, hyperautomation, and digital transformation alike, leading to greater efficiencies and better business outcomes. According to the 2023 State of Process Orchestration report, "96% of respondents believe that automation is critical to achieving their digital transformation goals."

To achieve these goals, many organizations adopted emerging automation technologies and tools, ending up with fragmented automation pieces loosely coupled with each other. At first, automating even a single part of a big process returned a lot of value, but eventually, a growing number of local solutions created more complexity to manage the whole end-to-end process. In addition, this hindered opportunities for optimization and improvement, leading to automation stagnation and declining ROI.

This happened because many business-critical processes are complex by nature.

According to 72% of the survey respondents, "real-world, business-critical processes are becoming more complex to maintain." That's because many of these processes consist of:

  • Multiple steps
  • A large number of different endpoints — including systems, people, devices, and even departments
  • Workflows that need to be executed in parallel
  • Situations that require exceptions handling
  • And more.

In addition, according to McKinsey, "65% of smaller companies report success with automation, compared with just 55% at large organizations."

Process orchestration diagram

What is process orchestration?

Process orchestration and automation are closely related. Process orchestration coordinates the various endpoints of a business process, and sometimes even ties multiple processes together. Process orchestration helps you work with the people, systems, and devices you already have – while achieving even the most ambitious goals around end-to-end process automation.

Why process orchestration maturity matters

Over the past five years, organizations have accelerated their digital transformation efforts, adding new technology systems and processes to their mix at an unprecedented rate. In fact, software spending in this time period outpaced the general inflation rate by 4x. As organizations consider the impact of this spending spree, many are disappointed by how these new systems and processes lack alignment with their business goals. Undoing the high costs of transformational debt means considering how new technology fits in with the old. That includes how processes flow seamlessly from end to end — across people, systems and devices.

New software means new silos that impact internal efficiency, business agility, time-to-value, and customer experiences. Organizations who are not implementing process orchestration across these silos often experience:

  • Broken or inefficient customer experiences

    Broken Customer Experiences

    Broken or inefficient customer experiences

  • Unnecessary inefficiency due to poorly maintained processes

    Process Inefficiency

    Unnecessary inefficiency due to poorly identified, implemented, executed, and maintained processes

  • An inability to measure effectiveness

    Lack of Visibility

    An inability to measure effectiveness or continuously improve automated processes

To contrast, organizations that are highly mature in their process orchestration lifecycle implementations experience strategic, scaled adoption of end-to-end automation, aligned with their specific business goals and initiatives. According to Deloitte, 92% of advanced automation adopters leverage end-to-end automation as a part of their strategy now, or plan to do so in the next three years.

The result is achieving measurable business outcomes such as:

Let's take a closer look at the maturity model, and how your organization can advance in its process orchestration maturity.

  • Marked improvements in customer experience

    Customer Experience

    Marked improvements in customer experience, driving revenue opportunity

  • Greater internal efficiency, lowering costs

    Internal Efficiency

    Greater internal efficiency, lowering costs

  • A higher degree of overall automation

    End-to-End Automation

    A higher degree of overall automation, driving digital transformation objectives

Inside the Process Orchestration Maturity Model

The Process Orchestration Maturity Model seeks to identify organizations' comfort levels and ability to execute process orchestration projects and strategies across a number of "drivers," or factors that help inform their maturity level. Improving maturity can help teams overcome the technology and people challenges standing in the way of meeting their automation goals.

All of these challenges negatively impact the business. Sometimes, more people need to get involved in what should be an "automated" process, adding unnecessary costs. Other times, inefficient processes and slow response times impact the customer or employee experience. Not to mention, many teams experience mounting legacy infrastructure maintenance costs.

Some common challenges might include:

  • Lack of strategic oversight and visibility
  • Legacy technology problems and growing technical debt
  • A lack of integration capabilities
  • Performance, reliability, and scalability problems
  • And more.

To overcome these challenges and their resulting business impacts, organizations can assess their overall maturity by looking at where they stand relative to the model's five drivers of process orchestration maturity. By doing so, they can identify the key areas to focus their efforts to get the most value out of both new and existing digital transformation investments.

Process Orchestration Maturity Drivers

  • Vision

    What is the awareness of process orchestration as a distinct competency in the organization? Why does it matter to the organization?

  • People

    Who defines the standards and policies for how process orchestration should be used? Who is responsible for implementing these changes?

  • Technology

    What technology philosophies, platforms, and solutions power the organization's process orchestration efforts?

  • Delivery

    How are process orchestration and improvement projects and the teams meant to execute them set up and enabled for success?

  • Measurement

    How does the organization define process orchestration success, and how capably can the organization track that success?

Level 0: No process orchestration

Level 1: Single project or ad-hoc use

Level 2: Broader initiative

Level 3: Distributed adoption

Level 4: Strategic, scaled adoption

Vision
Some process elements may have automated components, but they are too dispersed to be measured. This lack of visibility galvanizes process improvements.
Focused on single, mission-critical process orchestration projects, or projects focused on a “broken” process. The urgent need to fix mission-critical processes justifies investment.
Broader, scaled initiatives focus on better business outcomes. Measuring success remains a challenge as only some business units are aware of process orchestration impact.
Evolving toward an organization-wide practice where process orchestration supports digital transformation goals and drives strategic business outcomes rapidly and at scale.
Clearly defined strategy across technology, methodology, and people. The organization can execute that vision consistently and repeatedly across lines of business.
People
IT teams are not set up to centralize projects or resources.
Teams often take a decentralized “sprouting mushroom” approach to disparate projects.
IT teams want to empower business roles to understand process orchestration projects.
A CoE or distributed team may be in place and focused on repeatability, enablement, and scale.
Global CoEs provide enablement, training, internal consulting, and connector development as a platform capability.
Technology
Disparate automation technologies are in place with little cohesion.
Teams begin questioning legacy systems and monolithic on-prem solutions that limit advancement.
Focus shifts to building a single technology stack spanning the process lifecycle.
Investments prioritize acceleration components and enable multiple teams to build and operate at scale.
No one-size-fits-all mindset. The organization has built a best-fit stack with a dedicated process orchestration strategy.
Delivery
Large gaps between business and IT create silos, slow iteration, and limited delivery impact.
Business starts to recognize IT transformation potential, but delivery methods are not yet mature for agile, incremental value.
As alignment improves and teams adopt more agile development, they begin delivering continuous improvements in shorter sprints.
Multiple BizDevOps teams establish best practices that improve time-to-value and process monitoring.
Business teams can self-serve more use cases with minimal IT involvement, supported by CoE guardrails and continuous optimization.
Measurement
Business value is hard to measure due to silos and lack of scale.
Success is primarily defined as “project in production.”
Teams define and measure success for individual projects/processes but still struggle with cross-program KPIs.
Clear success metrics are established for individual initiatives; broader KPIs are emerging.
Large-scale KPIs demonstrate process orchestration contribution to strategic business outcomes.

Accelerating through the Maturity Model

Most organizations want to advance their process orchestration maturity to enhance specific business outcomes. Depending on the organization's sector or specific role, this might include improving:

  • Customer experiences

  • Compliance outcomes

  • Cost savings

  • Internal efficiency or team collaboration

  • IT modernization goals without disturbing business continuity

  • And more

Given organizations' varying priorities, advancement may look different for each team. However, organizations at each of the levels below may share these common characteristics as they accelerate in their maturity journey.

Level 0: No process orchestration

Organizations at Level 0 may be automating in silos with limited to no orchestration across processes, but have the most urgent need to implement process orchestration in some form.

They may find that a lack of orchestration reduces their operational ability to operate/execute, or hinders their ability to drive digital transformation. As such, this group is often the most motivated to break down silos that may negatively impact critical business outcomes.

These teams can focus on improving their ability to plan or act strategically or efficiently. Collaboration with business users on individual processes/projects or in training capabilities could be one specific area to improve.

Level 1: Single project or ad-hoc use

Organizations at this level of maturity are just beginning to realize how process orchestration can support their business needs on a project-to-project level.

They will need to invest the most resources into standing up the people, methods, and technologies needed to improve their mission-critical business processes and to understand how these efforts can drive further organizational value.

Level 2: Broader initiative

Organizations at this level of maturity have experienced some level of success with process orchestration, although this success may not have been measurable. They are beginning to question how to initiate broader process orchestration initiatives to bring more tangible value to the organization.

Maturity at this level may mean building their organizational strategy and establishing their team structures. However, they may still struggle with meaningful measurement.

Level 3: Distributed adoption

Organizations at this level of maturity are well on their way to using their process orchestration practice to drive business outcomes at scale across their organization. They have a clear understanding of the power of process orchestration, and are building out a roadmap to deliver bigger results faster across the organization.

They have the right personnel in place and are advancing maturity by working on the team structures and measurement practices that empower them to accelerate solutions across departmental silos and isolated business functions.

Level 4: Strategic, scaled adoption

Organizations at this level of maturity are delivering digital transformation due to their ability to drive better business outcomes. These outcomes are achieved in large part due to the organization's ability to deploy process orchestration at scale across the entire company. Sophisticated strategies, teams, and delivery methodologies have all combined to drive business outcomes and deliver value for the organization.

Even so, they understand that continuous improvement is necessary to achieving their ongoing process orchestration goals, and are focused on creating and implementing a feedback loop for improvements.

Process orchestration maturity model mountain visualization

Visualizing the journey to orchestration maturity

Download the full PDF to access the complete maturity model framework, including the detailed 5×5 assessment matrix, driver descriptions for each level, and a self-assessment guide to identify your organization's current position.

Conclusion: Proving the value of process orchestration

As organizations advance through their process orchestration maturity journey, they gain full visibility and strategic oversight into their end-to-end processes, driving stronger alignment between business and IT. As a result, they can achieve greater automation outcomes faster, at lower cost, and with reduced risk. In other words, process orchestration maturity empowers organizations to achieve a culture of continuous improvement and adaptability toward any changes that arise.

According to Gartner, "Process orchestration is critical both to manage end-to-end customer journeys and to provide consistency of experience to the human workforce." It has emerged as a transformative strategy across sectors, empowering organizations to streamline operations, improve customer experiences, and drive sustainable growth. Embracing this approach positions organizations to thrive in an increasingly digital and competitive landscape.

With advanced maturity, the optimized use of process orchestration can drive organizations toward the ultimate goal of strategic, scaled adoption. These teams get more value from automation and orchestration efforts than their counterparts. Perhaps most importantly, their efforts are aligned with specific business outcomes, setting highly mature organizations apart from the pack in the path toward digital transformation success.

The Process Orchestration Handbook

Learn more about process orchestration in The Process Orchestration Handbook

Explore the definition, benefits, and key concepts of process orchestration in our comprehensive guide — covering deterministic, dynamic, and agentic orchestration, common automation challenges, and how Camunda approaches enterprise-scale orchestration.

The Process Orchestration Handbook

Plan your path to orchestration maturity

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