Executive Summary
In today’s increasingly digital and distributed enterprise environment, organizations face growing pressure to operate complex use cases reliably, at scale, and with greater visibility across internal and customer-facing workflows. Large, regulated enterprises must coordinate task executions across applications, APIs, microservices, human approvals, and business systems while minimizing manual intervention, downtime, and operational risk. They also face growing requirements for auditability, access controls, traceability, and governance as workflows increasingly touch sensitive financial, healthcare, customer, and operational data. Workflow orchestration solutions can help organizations centralize process logic, provide visibility into process execution, support exception handling and operational recovery, and coordinate workflows across diverse technologies and endpoints. These capabilities support reliable, scalable process orchestration across business-critical environments.
Orkes Conductor is an enterprise workflow platform that coordinates task executions across distributed systems and AI agents while maintaining visibility, control, and recoverability. The platform provides capabilities such as centralized workflow definitions, stateful execution, targeted retries, failure workflows, step-level observability, reusable workflows and sub-workflows, API and language flexibility, and deployment options for regulated environments. These capabilities can help organizations improve customer-facing workflow execution, reduce internal exception handling, accelerate developer delivery, and reduce incident-level disruption without requiring teams to rebuild orchestration infrastructure for each use case.
Orkes commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Orkes Conductor.1 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Orkes Conductor on their organizations.
Key Results
347.3 billion
Task executions on Orkes Conductor by Year 3
80%
Reduction in major incident MTTR by Year 3
60%
Reduction in exception handling for customer-facing task executions by Year 3
60%
Reduction in exception handling for internal task executions by Year 3
40%
Productivity improvement for developers working on use cases by Year 3
Key Statistics
416%
Return on investment (ROI)
$34.2M
Benefits PV
$27.6M
Net present value (NPV)
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed five decision-makers with experience using Orkes Conductor. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization, which is a $20 billion, 50,000-employee global enterprise operating in highly regulated, transaction-intensive industries, serving both B2B and B2B2C markets in operating sectors such as financial services and insurance, logistics and supply chain, energy, healthcare, media, and technology/SaaS.
Interviewees stated that before adopting Orkes Conductor, their organizations struggled with fragmented enterprise workflow environments made up of legacy business process management (BPM) tools, cloud-native workflow services, custom orchestration logic, scripts, and manual processes. These prior environments limited visibility into task executions and workflow states, making it difficult for teams to identify where use cases stalled, recover failed steps, or safely restart processes without downstream risk. As use case volumes, regulatory requirements, and business complexity increased, the organizations faced more instances of manual intervention, slow troubleshooting, recurring incidents, specialist dependency, and constrained developer productivity. These limitations created operational risk, delayed delivery of new use cases, increased support burden, and made it difficult to scale reliable process orchestration across customer-facing and internal workflows.
Interviewees said that with Orkes Conductor, their organizations gained a centralized enterprise workflow platform that improved how teams orchestrate, monitor, recover, and scale customer-facing and internal use cases. They described replacing fragmented orchestration logic with governed workflow definitions and cited capabilities such as stateful execution, targeted retries, failure workflows, reusable workflow components, and step-level visibility as helping reduce manual exception handling and improve reliability across high-volume task executions. Interviewees also reported improved developer productivity, noting that developers could build and modify use cases using familiar languages, APIs, and workflow patterns rather than repeatedly creating custom orchestration logic. As a result, interviewees described improvements to revenue protection, internal operations productivity, developer efficiency, and production resilience.
Key Findings
Quantified benefits. Quantified benefits for the composite organization include:
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Revenue protection worth $22.9 million due to a 60% reduction in exception handling of customer-facing task executions. The composite organization protects operating profit by reducing failed, delayed, or abandoned customer-facing interactions across orchestrated use cases, with customer-facing task executions on Orkes Conductor increasing from 2.1 billion per week in Year 1 to 5.4 billion per week in Year 3. Capabilities such as stateful execution, targeted retries, failure workflows, step-level visibility, and automated exception handling for customer-facing task executions support this benefit. The composite reduces its exception handling by 60% by Year 3, resulting in total savings of $22.9 million PV over three years.
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Internal operations productivity improvement worth $5.6 million. The composite reduces manual intervention for internal use cases, with internal task executions on Orkes Conductor increasing from 324 million per week in Year 1 to 1.3 billion per week in Year 3. More reliable internal process orchestration, step-level visibility, targeted retries, and automated handling of internal exceptions reduce the need for intervention by operations, support, technology infrastructure, and business users to intervene. The composite reduces its internal handling of exceptions by 60% by Year 3, yielding total savings of $5.6 million PV over three years.
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A 40% improvement in developer productivity for building and maintaining orchestrated use cases. The composite organization improves developer productivity by reducing the need to build and maintain custom orchestration logic, with the number of developers who use Orkes weekly increasing from 25 in Year 1 to 100 in Year 3. Capabilities such as reusable workflows and sub-workflows, API flexibility, local testing support, native integrations, and clearer separation between workflow orchestration and business logic support this benefit. The composite’s developers improve their productivity by 40% by Year 3, resulting in total savings of $3.1 million PV over three years.
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An 80% reduction in MTTR for major incident recovery. The composite reduces incident-level downtime and severe degradation across orchestrated services, experiencing 12 major downtime incidents per year with an average duration of 4 hours per incident. Capabilities such as durable state management, failure isolation, workflow observability, recovery from failed steps rather than full restarts, and improved visibility into orchestration health support this benefit. The composite reduces MTTR by 80% in Year 3, generating total savings of $2.6 million PV over three years.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
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Improved enterprise workflow visibility. The composite gains a centralized way to understand, govern, and manage orchestrated use cases across teams and systems. The composite has visibility into workflow state and execution that its prior environments often buried inside logs, application code, or specialist-owned platforms, improving operational oversight.
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Increased confidence in enterprise-scale workflow orchestration. The composite gains confidence that its enterprise workflow platform can support increasing volumes, more mission-critical use cases, and broader adoption without redesigning its process orchestration strategy. Orkes Conductor supports this scalability as the composite expands to 347.3 billion task executions on the platform.
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Improved developer experience. The composite benefits from an orchestration platform that aligns with modern engineering practices rather than rigid legacy BPM models. Developers use familiar languages, APIs, workflow definitions, and deployment patterns, helping distributed engineering teams adopt enterprise workflow more easily.
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Enhanced support for compliance and governance requirements. The composite benefits from Orkes Conductor’s support for self-hosted, hybrid, and controlled deployment models that align with security, compliance, and data-control requirements. This helps the composite maintain infrastructure control, sensitive data handling, auditability, and deployment governance requirements.
Flexibility. There are multiple scenarios in which a customer might implement Orkes Conductor and later realize additional uses and business opportunities, including:
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Future flexibility for AI-enabled orchestration. The composite gains a foundation for future AI-enabled orchestration. Structured workflows, auditability, human checkpoints, and clear control over task execution give the composite give the composite a way to experiment with agentic AI while keeping AI-driven steps governed within deterministic enterprise workflow patterns.
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Faster adaptation to evolving use cases. The composite gains more flexibility to revise use cases as business rules, customer needs, regulations, and operating models change. Teams can modify workflows more dynamically and extend existing use cases without reworking the underlying application architecture.
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Expansion of workflow orchestration across the enterprise. The composite expands enterprise workflow orchestration beyond initial use cases or business units. The organization applies process orchestration to additional domains such as payments, billing, claims, underwriting, procurement, logistics, HR, and customer-facing digital services.
Quantified costs. Quantified costs for the composite organization include:
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Orkes Conductor platform costs. The composite licenses six Orkes Conductor clusters, including production, nonproduction, and development environments, and adds premium support for a self-hosted deployment. The composite uses the Standard Cluster configuration and processes an average of 100 task executions per second per use case. These platform costs total $1.1 million in PV over three years.
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Initial platform deployment costs. The composite incurs one-time costs to stand up Orkes Conductor, including environment configuration, security and networking setup, cluster deployment, continuous integration/continuous deployment (CI/CD) integration, observability, and governance. These costs reflect the effort required to deploy and configure the platform across production and nonproduction environments. The composite’s initial deployment costs are $282,000.
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Use case development and migration costs. The composite incurs costs to design, build, integrate, test, and roll out 150 use cases on Orkes Conductor over the first three years. Each use case requires design, integration, testing, and production readiness work. This is the largest cost for the composite organization, totaling $3.7 million PV over three years.
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Ongoing platform administration costs. The composite incurs ongoing effort to operate, monitor, maintain, govern, and support Orkes Conductor as adoption expands. These ongoing platform administration and hosting costs total $1.6 million PV over three years.
The financial analysis that is based on the interviews found that a composite organization experiences benefits of $34.2 million over three years versus costs of $6.6 million, adding up to a net present value (NPV) of $27.6 million and an ROI of 416%.
Benefits (Three-Year)
The Orkes Conductor Customer Journey
Drivers leading to the Orkes Conductor investment
Interviews
| Role | Industry | Region | Revenue | Employees | Orkes Conductor Configuration And Deployment Date |
|---|---|---|---|---|---|
| Platform engineering lead | Insurance |
Global (HQ: NA) |
~$43 billion | 10,000+ |
• 1 production, 2 nonproduction clusters • ~July 2025 |
| Chief architect | Banking services | APAC | ~$22 billion | 15,000+ |
• 2 production, 4 nonproduction clusters • ~June 2024 |
| Enterprise architect | Energy | Global | ~$13 billion | 5,000+ |
• 1 production, 1 nonproduction clusters • ~December 2024 |
| Senior payments manager | Financial services |
Global (HQ: NA) |
~$2.5 billion | 5,000+ |
• 1 production, 2 nonproduction clusters • ~May 2023 |
| CTO | Fintech | North America | ~$10 million | 100+ |
• 1 production, 3 nonproduction clusters • ~April 2024 |
Key Challenges
The five interviewees were senior technology, architecture, and platform leaders at organizations using Orkes Conductor. Interviewees were responsible for evaluating, deploying, governing, and scaling the platform within their environments. They had visibility into both strategic priorities, such as scalability, modernization, developer enablement, and enterprise standardization, and hands-on operational realities, including deployment, workflow development, platform administration, incident response, and support for internal and customer-facing processes. Each said that prior to adopting Orkes Conductor, their organizations relied on legacy, fragmented, or manually intensive approaches to workflow orchestration.
Interviewees noted how their organizations struggled with common challenges, including:
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Complex, fragmented workflow environments. Interviewees described landscapes made up of legacy business process management (BPM) tools, cloud-native workflow services, custom orchestration logic, satellite systems, scripts, and manually managed processes, often with workflow logic embedded directly in application code or distributed across multiple platforms with customized scripts. This fragmentation limited centralized visibility into process state and made it difficult for enterprise workflow teams to understand how processes moved across systems. As workflows became more business-critical and spanned multiple applications, teams struggled to determine what had run, what had failed, why it failed, and where a process could safely resume without creating downstream risk.
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Slow troubleshooting with unavoidable manual intervention. Interviewees described technology infrastructure teams having to inspect logs across multiple applications, determine where a workflow had stalled, manually restart or reprocess steps, and involve specialists or business users to move work forward. In some cases, this created direct operational risk, such as duplicate transactions, delayed underwriting decisions, audit scrutiny, or prolonged business disruption from recurring incidents. These issues were compounded by insufficient built-in retry or recovery logic and workflow designs that required human intervention when exceptions occurred. The senior payments manager for the financial services organization said, “A production support person would have to go into each and every log file and try to find out where that payment had failed. It used to take hours.”
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Unreliable or inflexible for business-critical, regulated use cases. Interviewees explained that their organizations’ legacy process orchestration environments experienced frequent incidents, required specialist support, or created operational disruption when workflows stalled or failed. These issues were especially problematic in areas such as governed payments, underwriting, claims, billing, service-provider onboarding, and customer-facing banking processes. Interviewees described recurring production incidents and prolonged recovery efforts. As the chief architect at a banking services provider explained, "Before Orkes Conductor, we had daily P3s and quarterly P1s and P2s.”. They also noted that many of these processes are subject to changing regulatory, geographic, product, or business rules, and that their prior environments often required code changes, release cycles, or engineering intervention to adapt.
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Limited scalability. Interviewees stated that legacy approaches worked for narrower or earlier-stage use cases but became limiting as transaction volumes, process complexity, regulatory requirements, and enterprise adoption grew. Some environments could not support higher throughput without architectural strain, while others required expensive per-process implementations or significant custom engineering to add new workflows. Several interviewees also described challenges scaling enterprise workflow adoption across teams, business units, and mission-critical processes. The senior payments manager for the financial services organization stated: “The entire ecosystem failed to scale beyond a certain point. We were having failures every day.”
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Developer productivity constraints. Interviewees described development models where workflow changes required engineering intervention, frequent release cycles, sequential development, or support from a small pool of experts rather than being owned directly by delivery teams. Some prior platforms lacked reusable workflow definitions, local testing, native integration patterns, or built-in recovery capabilities, which meant developers spent time building orchestration functionality such as retries, state handling, recovery logic, integrations, and visibility capabilities instead of delivering useful business functionality. Interviewees said these constraints slowed delivery, increased maintenance burden, and made process orchestration more difficult to scale across the enterprise.
Investment Objectives
The interviewees’ organizations searched for a solution that could:
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Configure and externalize enterprise workflow logic. The organizations wanted to move process logic out of hard-coded application code, scripts, and fragmented systems into a configurable orchestration platform that could be governed and managed more easily.
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Provide end-to-end workflow visibility and traceability. The organizations wanted clear step-level visibility into what was running, where a workflow stalled or failed, why it failed, and where teams could safely restart or remediate the process.
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Improve resiliency with built-in state management. The organizations sought process orchestration that could manage workflow state, support targeted retries, trigger failure workflows, and reduce the need for manual restarts or full process reprocessing.
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Support developer-centric workflow architecture. The organizations wanted a platform that fits modern engineering practices, allows workflow steps to be built in familiar languages, supports APIs and local testing, and would help them avoid the rigidity of legacy BPM approaches.
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Enable reusable workflow components. The organizations wanted reusable workflows, sub-workflows, templates, and shared orchestration patterns that could reduce duplicate development effort and accelerate rollout across team, workflows, business units, and use cases.
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Enterprise-level scalability and deployment flexibility. The organizations sought technology infrastructure that could support high-throughput workflows, regulated deployment models, hybrid or self-hosted architectures, integrations (e.g. for Apache Kafka and APIs), and emerging use cases like AI-enabled or agentic workflows.
Composite Organization
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the interviewees’ organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
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Description of composite. The composite organization is a $20 billion, 50,000-employee global enterprise operating in highly regulated, transaction-intensive industries. The organization serves both B2B and B2B2C markets and can potentially operate across various vertical segments: financial services, insurance, logistics and supply chain, energy and industrials, healthcare, media, and technology/SaaS environments. The composite has 150 use cases (of enterprise scale) suitable for orchestration.
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Deployment characteristics. The composite deploys Orkes Conductor across six clusters, including production, nonproduction, and development environments. The organization adopts Orkes Conductor in phases with 50 use cases in Year 1, 100 in Year 2, and all 150 in Year 3.
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Key assumptions. To quantify the composite organization’s benefits and costs, Forrester assumes the following:
- Of the 150 total use cases, 90 are customer-facing and 60 are internal. Customer-facing use cases include workflows that support external transactions or customer-impacting interactions, while internal use cases support employees, operational, technology infrastructure, and back-office workflows.
- The model is based on 100 task executions per second per use case. Task executions represent the individual workflow steps executed by Orkes Conductor, rather than full workflow instances or end-to-end use case executions.
- The composite derives 80% of the effective value from Orkes Conductor in Year 1, 90% in Year 2, and 100% in Year 3 and onward due to ramp-up and ongoing learning – separately from the actual rollout of use cases.
KEY ASSUMPTIONS
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$20 billion annual revenue
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50,000 employees
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Technology infrastructure FTEs: 4 in Year 1, 7 in Year 2, 10 in Year 3
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Use cases deployed on Orkes Conductor: 50 in Year 1, 100 in Year 2, 150 in Year 3
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100 task executions per second per use case
Composite Organization Characteristics
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|
| R1 | Employees | Composite | 50,000 | 50,000 | 50,000 |
| R2 | Annual revenue | Composite | $20,000,000,000 | $20,000,000,000 | $20,000,000,000 |
| R3 | Operating margin | Composite | 15% | 15% | 15% |
| R4 | Revenue per hour | Composite | $2,000,000 | $2,000,000 | $2,000,000 |
| R5 | Technology infrastructure/enterprise orchestration team members (FTEs) | Composite | 4 | 7 | 10 |
| R6 | Developers who use Orkes Conductor weekly | Composite | 25 | 60 | 100 |
| R7 | Developers who benefit from Orkes Conductor | Composite | 150 | 350 | 600 |
| R8 | Operations, support, and business users reliant on orchestration | Composite | 500 | 1,000 | 1,500 |
| R9 | Effective value derived from Orkes Conductor | Composite | 80% | 90% | 100% |
| R10 | Total use cases | Composite | 150 | 150 | 150 |
| R11 | Use cases deployed on Orkes Conductor | Composite | 50 | 100 | 150 |
| R12 | Percentage of use cases deployed on Orkes Conductor | R11/R10 | 33% | 67% | 100% |
| R13 | Customer-facing use cases deployed on Orkes Conductor | Composite | 35 | 65 | 90 |
| R14 | Internal use cases deployed on Orkes Conductor | Composite | 15 | 35 | 60 |
| R15 | Task executions per second per use case | Composite | 100 | 100 | 100 |
| R16 | Customer-facing task executions on Orkes Conductor | Composite | 108,864,000,000 | 202,176,000,000 | 279,936,000,000 |
| R17 | Internal task executions on Orkes Conductor | Composite | 16,848,000,000 | 39,312,000,000 | 67,392,000,000 |
| R18 | Total task executions on Orkes Conductor | R16+R17 | 125,712,000,000 | 241,488,000,000 | 347,328,000,000 |
| R19 | Percentage of task executions on Orkes Conductor | R18/R18Yr3 | 36% | 70% | 100% |
| R20 | Orkes Conductor clusters licensed | Composite | 6 | 6 | 6 |
Analysis Of Benefits
Quantified benefit data as applied to the composite
Total Benefits
| Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|
| Atr | Revenue protection | $4,526,567 | $9,457,290 | $14,549,674 | $28,533,530 | $22,862,388 |
| Btr | Internal operations productivity improvement | $824,874 | $2,165,307 | $4,124,396 | $7,114,577 | $5,638,115 |
| Ctr | Developer productivity improvement | $447,525 | $1,208,318 | $2,237,625 | $3,893,468 | $3,086,611 |
| Dtr | Reduced production downtime | $567,810 | $1,103,836 | $1,576,973 | $3,248,618 | $2,613,255 |
| Total benefits (risk-adjusted) | $6,366,776 | $13,934,750 | $22,488,667 | $42,790,193 | $34,200,369 |
Revenue Protection
Evidence and data. A recurring theme across the interviews was that Orkes Conductor helped protect revenue by improving the reliability and automation of customer-facing use cases where failed, delayed, or abandoned interactions could directly affect transaction completion, customer experience, or revenue capture. The interviewees said that prior to adopting the platform, their organizations were constrained by fragmented process orchestration environments, limited visibility into failed task executions, manual exception handling, and brittle retry or recovery logic that impeded the ability to consistently complete customer-facing workflows. When customer-facing task executions failed or stalled, teams often had to manually identify the failure point, determine whether and where to restart the workflow, and remediate the issue without creating duplicate transactions, delayed decisions, or customer disruption.
Interviewees said Orkes Conductor provides stateful execution, targeted retries, failure workflows, step-level visibility, and more automated exception handling for customer-facing use cases, which enabled their organizations to reduce the share of customer-facing task executions that resulted in failed, delayed, or abandoned interactions.
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The senior payments manager for the financial services organization explained: “A production support person would have to go into each and every log file and try to find out where that payment had failed. It would take 30 or 35 minutes just to find where the payment was stuck. … [With Orkes Conductor,] if there is a failure, we can retry from that specific step instead of restarting the whole process. Not only is that faster, but it avoids the risk of duplicate payments.”
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The platform engineering lead for the insurance provider provided some context for underwriting processes: “Right now, we are doing 30 to 40 workflows per day, and we expect that to go to around 300 per day as we add more products.”
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The CTO for the fintech organization noted: “Orkes Conductor supports 100% of our billing flows, with claims workflows also in production. This is critical because insurance is very dynamic and regulations change frequently,” highlighting the importance of these workflows to the organization.
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The chief architect for the banking services provider shared metrics around key processes: “We have 63 straight-through processes tied to customers with about 45 in production with Orkes now, and we expect that to keep growing.”
Modeling and assumptions. This benefit focuses on revenue associated with failed, delayed, or abandoned customer-facing interactions across use cases. Based on the interviews, Forrester assumes the following about the composite organization:
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For the purposes of this study, revenue protection represents protected operating profit from fewer failed, delayed, or abandoned customer-facing interactions.
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The composite processes 2.1 billion customer-facing task executions on Orkes Conductor per week in Year 1, 3.9 billion per week in Year 2, and 5.4 per week in Year 3.
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The exception rate for customer-facing task executions is 0.0015%.
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The gross reduction in exception handling with Orkes Conductor is 60%.
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The net reduction in exception handling with Orkes is 48% in Year 1, 54% in Year 2, and 60% by Year 3, based on the effectiveness ramp.
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The average revenue at risk per revenue-impacting customer-facing task execution is $50.
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The total revenue protected with Orkes Conductor is $39.2 million in Year 1, $81.9 million in Year 2, and $126.0 million in Year 3, representing 0.20%, 0.41%, and 0.63% of the composite’s overall revenues, respectively.
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The composite organization’s operating margin is 15%.
Risks. The scale of this benefit may vary from organization to organization based on:
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The throughput or velocity of customer-facing task executions per week.
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The organization’s revenue.
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The organization’s hours of operations.
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Exception rate for customer-facing task executions that result in failed, delayed, or abandoned interactions in the prior state.
Results. To account for these risks, Forrester adjusted this benefit downward by 23%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $22.9 million.
60%
Reduction in exception handling for customer-facing task executions by Year 3
Revenue Protection
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | Weekly customer-facing task executions on Orkes Conductor | R16/52 | 2,093,538,462 | 3,888,000,000 | 5,383,384,615 | |
| A2 | Exception rate for customer-facing task executions that impact revenue | Composite | 0.0015% | 0.0015% | 0.0015% | |
| A3 | Net reduction in exception handling with Orkes | Interviews | 48% | 54% | 60% | |
| A4 | Revenue-impacting task executions avoided with Orkes | (A1*52)*A2*A3 | 783,821 | 1,637,626 | 2,519,424 | |
| A5 | Average revenue at risk per task execution | Composite | $50 | $50 | $50 | |
| A6 | Operating margin | R3 | 15% | 15% | 15% | |
| At | Revenue protection | A4*A5*A6 | $5,878,658 | $12,282,195 | $18,895,680 | |
| Risk adjustment | ↓23% | |||||
| Atr | Revenue protection (risk-adjusted) | $4,526,567 | $9,457,290 | $14,549,674 | ||
| Three-year total: $28,533,530 | Three-year present value: $22,862,388 | |||||
Internal Operations Productivity Improvement
Evidence and data. Interviewees noted that Orkes Conductor improved internal operations productivity by reducing the manual intervention required to keep these use cases moving when task executions failed, stalled, or required remediation. They said that before adopting Orkes Conductor, their organizations relied on fragmented enterprise workflow environments where operations teams, application support, business users, and developers often had to identify exceptions manually, inspect logs, restart failed steps, reprocess work, or escalate to specialists to move internal workflows forward.
Interviewees said Orkes Conductor helped address these constraints with stateful execution, step-level visibility, targeted retries, failure workflows, and more automated exception handling, which reduced the time spent on repetitive remediation across internal use cases.
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The enterprise architect for the energy conglomerate relayed: “Prior orchestration-related incidents could take several hours to days to diagnose and resolve. With Orkes Conductor, failed workflow steps are easier to isolate, retry, and recover. Orkes Conductor is now our default enterprise workflow platform.”
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The platform engineering lead for the insurance provider said: “The [underwriting] process used to take two to three weeks. It was very manual. Now, for the processes supported by Orkes Conductor, it can be completed in less than 20 minutes.”
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The CTO for the fintech organization observed: “[The platform’s] event-driven state model and timer objects allow rapid adaptation to regulatory changes without code changes or application restarts. This is critical for our internal workflows to be compliant.”
Modeling and assumptions. This benefit focuses on productivity associated with internally focused processes and failed, delayed, or abandoned use cases. Based on the interviews, Forrester assumes the following about the composite organization:
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The productivity gains are distributed across operations, support, technology, and business users.
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Productivity gains are modeled as reallocated capacity rather than headcount reduction.
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The composite processes 324 million internal task executions on Orkes Conductor per week in Year 1, 756 million per week in Year 2, and 1.296 million per week in Year 3.
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The manual intervention, or exception rate, for internal use cases is 0.003%.
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The composite’s internal use cases have lower task execution volume and less revenue-linked granularity than customer-facing use cases.
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The composite’s gross reduction in exception handling with Orkes Conductor is 60% for both internal and customer-facing use cases.
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The composite’s net reduction in exception handling with Orkes is 48% in Year 1, 54% in Year 2, and 60% by Year 3.
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The previous average time per manual intervention was 8 minutes.
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The modeled productivity savings accrue across a distributed population of internal operations, support, technology infrastructure, and business users rather than solely to the enterprise workflow orchestration team.
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The productivity savings represent incremental time recovered across the population and are expressed as FTE-equivalent savings.
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The fully burdened hourly rate for an enterprise workflow FTE across internal operations, support, technology infrastructure, and business users is $60.
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The composite’s productivity adjustment factor for these FTEs is 50%, reflecting that not all saved time translates into productive work.
Risks. The scale of this benefit may vary from organization to organization based on:
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The nature and complexity of internal use cases.
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The organization’s rate of manual intervention that result in failed, delayed, or abandoned interactions.
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The average time required per manual intervention.
Results. To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $5.6 million.
60%
Reduction in exception handling for internal task executions by Year 3
Internal Operations Productivity Improvement
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | Weekly internal task executions on Orkes Conductor | R17/52 | 324,000,000 | 756,000,000 | 1,296,000,000 | |
| B2 | Manual intervention or exception rate before Orkes | Composite | 0.003% | 0.003% | 0.003% | |
| B3 | Net reduction in manual intervention with Orkes | Interviews | 48% | 54% | 60% | |
| B4 | Average time per manual intervention (minutes) | Composite | 8 | 8 | 8 | |
| B5 | Time saved for enterprise infrastructure team (hours) | (B1*52)*B2*B3* (B4/60) | 32,348 | 84,914 | 161,741 | |
| B6 | Fully burdened hourly rate for an enterprise workflow FTE | Composite | $60 | $60 | $60 | |
| B7 | Productivity adjustment factor | TEI methodology | 50% | 50% | 50% | |
| Bt | Internal operations productivity improvement | B5*B6*B7 | $970,440 | $2,547,420 | $4,852,230 | |
| Risk adjustment | ↓15% | |||||
| Btr | Internal operations productivity improvement (risk-adjusted) | $824,874 | $2,165,307 | $4,124,396 | ||
| Three-year total: $7,114,577 | Three-year present value: $5,638,115 | |||||
Developer Productivity Improvement
Evidence and data. Interviewees said that prior to deploying Orkes Conductor, their organizations often embedded workflow logic directly in application code, relied on specialist BPM skills, or required developers to build custom orchestration capabilities such as retries, state handling, failure recovery, Kafka or API integrations, local testing frameworks, and workflow visibility. They explained that this made workflow development slow, sequential, and dependent on scarce expertise while pulling developers away from higher-value application and product work.
Interviewees noted that Orkes Conductor helped address these constraints with a developer-centric architecture, reusable workflow and sub-workflow definitions, language and API flexibility, local testing support, built-in retry and recovery patterns, native integration capabilities, and clearer separation between workflow orchestration and business logic. These reported this enabled development teams to spend less time engineering and maintaining custom enterprise workflow infrastructure and more time delivering new use cases, adapting existing use cases, and building customer- or business-facing functionality.
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The CTO for the fintech organization explained: “For regulated insurance use cases, Orkes Conductor’s clean APIs, configurable workflow model, and ability to avoid rebuilding custom workflow logic is a great advantage. What we were able to do in four business days with two to three engineers would have taken six months to a year with the same team.”
-
The senior payments manager for the financial services organization explained: “If I define at the start that there are 10 steps needed, all 10 steps can be developed in parallel with Orkes Conductor. Whereas, if it would have been writing code, I would have to wait for step one to get completed, then get on to step 2, step 3, etc. It would have been sequential development.” They estimated this improved development speed by approximately 30% to 35%.
-
The enterprise architect for the energy conglomerate observed: “With our prior BPM platform, workflows took 12 to 16 weeks with six to 10 people to develop. Orkes Conductor reduced delivery effort by roughly 25% to 30%.”
-
The platform engineering lead for the insurance provider said: “With our previous step function platform, we would have to implement [auto-recovery] manually. We would have to allocate five FTEs for six months to build the orchestration workflow. Without Orkes Conductor, we would likely have to double the development team to deliver the same modules and capabilities.”
Modeling and assumptions. Unlike the first two benefits that deal with time savings for workflows in production usage, this benefit is specifically about the productivity improvement for the developers who build, modify, and maintain orchestrated use cases. Based on the interviews, Forrester assumes the following about the composite organization:
-
The number of developers who use Orkes Conductor on a weekly basis increases from 25 in Year 1 to 60 in Year 2 and 100 by Year 3.
-
Each development FTE spends an average of 50% of their time using Orkes Conductor.
-
The composite’s effective improvement in productivity for development FTEs is 32% in Year 1, 36% in Year 2, and 40% by Year 3.
-
The fully burdened annual salary for a developer FTE is $175,500.
-
The composite’s productivity adjustment factor for developer FTEs is 75%.
Risks. The scale of this benefit may vary from organization to organization based on:
-
The nature and complexity of the use cases developed and maintained.
-
The relative maturity of the development organization.
Results. To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $3.1 million.
40%
Productivity improvement for developers working on use cases by Year 3
Developer Productivity Improvement
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| C1 | Developers who use Orkes Conductor weekly | R6 | 25 | 60 | 100 | |
| C2 | Percent of time spent on development related to Orkes Conductort | Composite | 50% | 50% | 50% | |
| C3 | Net productivity improvement with Orkes Conductor | Interviews | 32% | 36% | 40% | |
| C4 | Fully burdened annual salary for a developer FTE | Composite | $175,500 | $175,500 | $175,500 | |
| C5 | Productivity adjustment factor | TEI methodology | 75% | 75% | 75% | |
| Ct | Developer productivity improvement | C1*C2*C3*C4*C5 | $526,500 | $1,421,550 | $2,632,500 | |
| Risk adjustment | ↓15% | |||||
| Ctr | Developer productivity improvement (risk-adjusted) | $447,525 | $1,208,318 | $2,237,625 | ||
| Three-year total: $3,893,468 | Three-year present value: $3,086,611 | |||||
Reduced Production Downtime
Evidence and data. Interviewees said that before adopting Orkes Conductor, their organizations’ process orchestration environments were brittle, difficult to monitor, and dependent on specialist teams to diagnose and recover from high-severity workflow failures affecting orchestration platforms and downstream services. When failures occurred, teams often lacked clear state visibility, targeted recovery paths, or confidence in where to restart without broader disruption.
Interviewees Orkes Conductor helped address these challenges with durable state management, workflow observability, targeted retries, failure isolation, recovery from the failed step rather than full process restarts, auditability, and improved visibility into orchestration health. They reported this reduced the likelihood that workflow failures escalated into broader production downtime while helping teams shorten recovery windows when incidents occurred, which protected their organizations from customer-impacting disruption, operational downtime, and the response effort required from platform, engineering, operations, and support teams.
-
The senior payments manager for the financial services organization relayed: “Before, it would have taken 30 or 35 minutes for a production support person to find where the payment was stuck. Now, because we can see the workflow step where it failed, it takes about 5 minutes.”
-
The enterprise architect for the energy conglomerate observed: “Prior orchestration-related incidents could take several hours to days to diagnose and resolve. With Orkes Conductor, failed workflow steps are easier to isolate, retry, and recover - I would estimate in like 30 minutes. The reality is that we have had zero platform issues with Orkes in 18 months.”
Modeling and assumptions. This benefit breaks out into two components: the operating profit (loss) protected with Orkes Conductor, and the avoided labor for critical incident management. Based on the interviews, Forrester assumes the following about the composite organization:
-
Unlike Benefits A and B, which address interventions in stalled, hung, or restarted processes, this benefit focuses on high-severity incidents that impair the platform or an orchestrated service. The benefit is broken into operating profit (loss) protected and avoided labor for critical incident management.
-
The composite experiences one major downtime incident per month.
-
The average downtime per incident is 4 hours.
-
The gross reduction in MTTR (or failure triage and recovery time) with Orkes Conductor is 80%.
-
The net reduction in MTTR is 28.8% in Year 1, 56% in Year 2, and 80% in Year 3.
-
The operating profit at risk per downtime hour is $45,000.
-
On average, eight FTEs spend 6 hours resolving each major incident..
-
Each major incident results in 4 hours of business downtime.
-
The blended fully burdened hourly rate for an FTE who works on downtime incidents is $70.
-
The composite’s productivity adjustment factor for affected incident management FTEs is 75%.
Risks. The scale of this benefit may vary from organization to organization based on:
-
The complexity and velocity of the use cases.
-
Scale of the organization.
-
The skill level of the organization’s incident management FTEs.
-
The organization’s industry and business model.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $2.6 million.
80%
Reduction in major incident MTTR with Orkes Conductor by Year 3
Reduced Production Downtime
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| D1 | Baseline major downtime incidents | Composite | 12 | 12 | 12 | |
| D2 | Average downtime per incident (hours) | Composite | 4 | 4 | 4 | |
| D3 | Gross reduction in MTTR with Orkes Conductor | Interviews | 80% | 80% | 80% | |
| D4 | Orkes Conductor usage ramp across all use cases | Composite | 36% | 70% | 100% | |
| D5 | Net reduction in MTTR with Orkes Conductor | D3*D4 | 28.8% | 56.0% | 80.0% | |
| D6 | Operating profit at risk per downtime hour | Composite | $45,000 | $45,000 | $45,000 | |
| D7 | Subtotal: Operating profit protected with Orkes Conductor | D1*D2*D5*D6 | $622,080 | $1,209,600 | $1,728,000 | |
| D8 | Major incidents avoided with Orkes Conductor | D1*D5 | 3.5 | 6.7 | 9.6 | |
| D9 | FTE time spent per major incident (hours) | Composite | 48 | 48 | 48 | |
| D10 | Blended fully burdened hourly rate for an FTE who works on downtime incidents | Composite | $70 | $70 | $70 | |
| D11 | Productivity adjustment factor | TEI methodology | 75% | 75% | 75% | |
| D12 | Subtotal: Incident response labor avoided with Orkes Conductor | D8*D9*D10*D11 | $8,820 | $16,884 | $24,192 | |
| Dt | Reduced production downtime | D7+D12 | $630,900 | $1,226,484 | $1,752,192 | |
| Risk adjustment | ↓10% | |||||
| Dtr | Reduced production downtime (risk-adjusted) | $567,810 | $1,103,836 | $1,576,973 | ||
| Three-year total: $3,248,618 | Three-year present value: $2,613,255 | |||||
Unquantified Benefits
Benefits that provide value for the interviewees’ organizations but are not quantified for this study include:
-
Improved enterprise workflow visibility. Interviewees noted that Orkes Conductor gave their organizations a more centralized way to understand, govern, and manage orchestrated use cases across teams and systems. This was especially valuable because prior environments often buried workflow states inside logs, application code, or specialist-owned platforms, limiting broader operational visibility.
-
Increased confidence in enterprise-scale workflow orchestration. Several interviewees emphasized that Orkes Conductor gave their organizations confidence that their enterprise workflow platform could support increasing volumes and more mission-critical use cases without requiring a redesign of their orchestration strategy. They valued the platform’s architecture, clustering model, and ability to support production-scale process orchestration as usage expanded. The CTO for the fintech organization noted, “We want to bet with people who are smarter than us. Conductor has its roots in Netflix and scale is in their DNA.”
-
Improved developer experience. Interviewees valued that Orkes Conductor fit modern engineering practices rather than forcing teams into a rigid legacy BPM model. Developers could work with familiar languages, APIs, workflow definitions, and deployment patterns, which made enterprise workflow more approachable and easier to adopt across distributed engineering teams. The chief architect for the banking services provider commented, “The feedback from engineers has been really positive. Conductor has been easy for them to deploy and use for orchestration.”
-
Enhanced support for compliance and governance requirements. Interviewees valued Orkes Conductor’s ability to support self-hosted, hybrid, or controlled deployment models that aligned with security, compliance, and data-control requirements. This was especially important for organizations in financial services, banking, insurance, and energy, where sensitive data, auditability, and infrastructure control were essential. The chief architect for the banking services provider explained, “The private data stays internal. The process runs on Orkes, but the data is executed on our infrastructure.”
Flexibility
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Orkes Conductor and later realize additional uses and business opportunities, including:
-
Future flexibility for AI-enabled orchestration. Several interviewees discussed Orkes Conductor as a foundation for future AI-enabled orchestration. They said it provided structured workflows, auditability, human checkpoints, and clear control over task execution, giving their organizations a way to experiment with agentic AI while keeping AI-driven steps governed within deterministic enterprise workflow patterns.
-
Faster adaptation to evolving use cases. Interviewees said Orkes Conductor gave their organizations more flexibility to revise use cases as business rules, customer needs, regulations, and operating models changed. They explained that teams could modify workflows more dynamically and extend existing use cases without reworking the underlying application architecture. The CTO for the fintech organization observed: “Insurance is very dynamic. Regulations change, and you have to update your systems in real time.”
-
Expansion of workflow orchestration across the enterprise. Interviewees described Orkes Conductor as enabling their organizations to broaden their enterprise workflows beyond initial use cases or business units. The organizations applied process orchestration to additional domains such as payments, billing, claims, underwriting, procurement, logistics, HR, and customer-facing digital services. The enterprise architect for the energy conglomerate noted, “Use by use case and business workflow by business workflow, Orkes Conductor has become our default enterprise workflow platform.”
Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Total Economic Impact Approach).
Analysis Of Costs
Quantified cost data as applied to the composite
Total Costs
| Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|---|
| Etr | Orkes Conductor platform costs | $0 | $448,560 | $448,560 | $448,560 | $1,345,680 | $1,115,502 |
| Ftr | Initial deployment costs | $281,703 | $0 | $0 | $0 | $281,703 | $281,703 |
| Gtr | Use case development and migration costs | $1,650,000 | $1,320,000 | $990,000 | $0 | $3,960,000 | $3,668,182 |
| Htr | Ongoing costs of administration | $0 | $549,725 | $591,044 | $756,044 | $1,896,814 | $1,556,244 |
| Total costs (risk-adjusted) | $1,931,703 | $2,318,285 | $2,029,604 | $1,204,604 | $7,484,197 | $6,621,631 |
Orkes Conductor Platform Costs
Evidence and data. Interviewees noted that Orkes Conductor pricing was primarily structured around cluster-based licensing, with costs varying by deployment model and throughput requirements.
-
Base subscription pricing varied for production, nonproduction, and development clusters.
-
Standard Cluster pricing applied below 300 task executions per second per use case, and high-performance cluster pricing applied above that threshold.
-
The costs of premium support varied by deployment model, with different rates for Orkes-hosted and customer-hosted/on-premises environments.
-
Pricing may vary. Contact Orkes for additional details.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
-
The composite organization licenses six clusters: two for production, three as nonproduction environments, and one development cluster.
-
The composite licenses at the standard cluster level with an average of 100 task executions per second per use case modeled.
-
The composite uses the self-hosted environment.
-
The composite pays for premium support.
-
The composite organization receives a discount.
Risks. The impact of this cost may vary from organization to organization based on:
-
The number and type of clusters licensed.
-
Throughput requirements, including whether task executions exceed 300 per second per use case, as well as any additional configurations or support requirements that increase solution costs.
-
The deployment model and support level selected.
Results. To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.1 million.
Orkes Conductor Platform Costs
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| E1 | Subscription cost for six clusters | Composite | $0 | $360,000 | $360,000 | $360,000 |
| E2 | Premium support for self-hosted environment | Composite | $0 | $67,200 | $67,200 | $67,200 |
| Et | Orkes Conductor platform costs | E1+E2 | $0 | $427,200 | $427,200 | $427,200 |
| Risk adjustment | ↑5% | |||||
| Etr | Orkes Conductor platform costs (risk-adjusted) | $0 | $448,560 | $448,560 | $448,560 | |
| Three-year total: $1,345,680 | Three-year present value: $1,115,502 | |||||
Initial Deployment Costs
Evidence and data. Interviewees said that initial deployment of Orkes Conductor required effort to stand up the enterprise workflow platform, including environment configuration, security and networking setup, cluster deployment, CI/CD integration, observability, and governance, separate from the work required to migrate or build individual use cases. Some interviewees also discussed the use of Orkes professional services to support implementation.
Across the interviews, deployment was generally described as manageable. While some interviewees said their organization needed additional effort to meet internal security, networking, or containerization requirements, they indicated that the core platform could be deployed with a small team over a relatively short period.
-
The enterprise architect for the energy conglomerate said: “We stood up the platform in about three months with two platform engineers and some architecture oversight. That included the development, nonproduction, and production clusters. We did not use paid professional services.”
-
The platform engineering lead for the insurance provider explained: “For the implementation itself, it [required the effort of] about two FTEs for one week. The broader underwriting module timeline was separate.”
-
The CTO for the fintech organization said: “The initial implementation took about two to three months with two to three engineers, and they were part-time because they were doing other work, too. Most of the effort was around containerization and cloud operations, not integrating with Orkes Conductor.”
-
The chief architect for the banking services provider explained: “The initial deployment was about three months with two to three people. That was separate from migrating the legacy BPEL (business process execution language) processes, which took longer.”
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
-
Five enterprise workflow FTEs spend 100% of their time for three months on deployment.
-
The fully burdened annual salary for an enterprise workflow FTE is $124,875.
-
The composite incurs a one-time cost of $100,000 for professional services related to implementation.
Risks. The impact of this cost may vary from organization to organization depending on the following:
-
The size of the organization.
-
The organization’s Orkes Conductor configuration.
-
The relative expertise of the organization’s enterprise workflow team.
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $282,000.
Initial Deployment Costs
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| F1 | Internal FTE effort for initial deployment (FTE-years) | Interviews | 1.25 | 0 | 0 | 0 |
| F2 | Fully burdened annual salary for an enterprise workflow FTE | Composite | $124,875 | |||
| F3 | Cost of Orkes professional services for implementation | Interviews | $100,000 | $0 | $0 | $0 |
| Ft | Initial deployment costs | (F1*F2)+F3 | $256,094 | $0 | $0 | $0 |
| Risk adjustment | ↑10% | |||||
| Ftr | Initial deployment costs (risk-adjusted) | $281,703 | $0 | $0 | $0 | |
| Three-year total: $281,703 | Three-year present value: $281,703 | |||||
Use Case Development And Migration Costs
Evidence and data. For this study, Forrester assumes use case development and migration represent the effort required to design, build, integrate, test, and roll out each customer-facing and internal use case on Orkes Conductor after the core platform is in place.
Interviewees noted that moving meaningful enterprise workflow use cases onto the platform required hands-on work from application, platform, integration, and business teams to define workflow steps, connect workers and APIs, validate dependencies, configure retries and failure paths, test end-to-end behavior, and release into production.
Interviewees said Orkes Conductor’s reusable workflows, sub-workflows, APIs, language flexibility, and built-in orchestration capabilities reduced the effort compared with building or maintaining custom process orchestration logic. They explained that each use cases still required effort related to business rules, integrations, testing, and operational readiness.
-
The chief architect for the banking services provider said: “We migrated 12 BPEL processes to Orkes Conductor, and that took about five to six months. … Legacy BPM processes can cost roughly $250,000 to $1 million each [in terms of developer effort], compared with about $50,000 to $200,000 for processes built with Orkes Conductor because developers can use familiar technologies and avoid specialist-heavy BPM development.”
-
The enterprise architect for the energy conglomerate said: “We probably build five to eight new ERP-integrated workflows per year. Those are not small workflows; they involve multiple systems, business rules, and integration points. … A typical integration [with a legacy vendor’s] workflow used to take 12 to 16 weeks with six to 10 people. With Orkes Conductor, that is more like six to eight weeks, depending on complexity.”
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
-
The composite migrates 50 use cases during the initial period, 50 in Year 1, and 50 in Year 2. All 150 use cases are migrated by the end of Year 2.
-
During the initial period, it takes an average of 500 FTE hours to migrate each use case to Orkes Conductor. This average drops to 400 FTE hours in Year 1 and 300 FTE hours in Year 2.
-
The fully burdened hourly rate for an enterprise workflow FTE is $60.
Risks. The impact of this cost may vary from organization to organization depending on the following:
-
The complexity of use cases.
-
The relative expertise of the organization’s enterprise workflow team.
-
The learning curve for migrating use cases from the prior state.
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $3.7 million.
Use Case Development And Migration Costs
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| G1 | New use cases migrated to Orkes | Composite | 50 | 50 | 50 | |
| G2 | Average FTE time spent per use case migration (hours) | Composite | 500 | 400 | 300 | |
| G3 | Fully burdened hourly rate for an enterprise workflow FTE | Composite | $60 | $60 | $60 | $60 |
| Gt | Use case development and migration costs | G1*G2*G3 | $1,500,000 | $1,200,000 | $900,000 | $0 |
| Risk adjustment | ↑10% | |||||
| Gtr | Use case development and migration costs (risk-adjusted) | $1,650,000 | $1,320,000 | $990,000 | $0 | |
| Three-year total: $3,960,000 | Three-year present value: $3,668,182 | |||||
Ongoing Costs Of Administration
Evidence and data. For this study, Forrester assumes ongoing platform support and administration represent the effort required to operate, monitor, maintain, and govern Orkes Conductor after the platform is deployed and use cases are live. Interviewees generally described the effort as relatively light. While their organizations still needed internal platform or technology infrastructure resources to manage environments, apply upgrades, monitor performance, support developers, and coordinate with Orkes as needed, interviewees indicated that ongoing support and platform administration reduced the need for large, dedicated support teams and heavy ongoing administration.
-
The senior payments manager for the financial services organization stated: “Ongoing maintenance is around 20 man-hours per month. [It’s] mostly CI/CD pipeline, upgrades, and routine platform maintenance rather than heavy production support.”
-
The enterprise architect for the energy conglomerate explained, “To support the enterprise workflow platform after deployment, we have two platform engineers, and ongoing maintenance [requires] about 20% of their time.”
-
The platform engineering lead for the insurance provider said, “Once the Orkes-based orchestration module was in place, ongoing maintenance has been about one FTE at 5% of their time.”
-
The CTO for the fintech organization noted: “Maintenance is negligible. Most of the effort was for initial containerization and cloud operations, not ongoing Orkes administration.”
-
The chief architect for the banking services provider said: “Maintenance is almost nothing. We don’t have dedicated people looking after it. It just works.”
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
-
The composite dedicates four incremental enterprise workflow/orchestration FTEs in Year 1, three in Year 2, and three in Year 3.
-
These FTEs spend 50% of their time supporting Orkes Conductor use cases and on-premises hosting.
-
The fully burdened annual salary for an enterprise workflow FTE is $124,875.
-
Based on the ramp in use cases moved to Orkes Conductor, the composite incurs incremental costs of on-premises hosting infrastructure of $250,000 in Year 1, $350,000 in Year 2, and $500,000 in Year 3.
Risks. The impact of this cost may vary from organization to organization based on the level of support needed by operations, support, and business users, etc.
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.6 million.
Ongoing Costs Of Administration
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| H1 | Incremental enterprise workflow/orchestration FTEs | Composite | 0 | 4 | 3 | 3 |
| H2 | Percent of time FTEs spend on orchestration administration | Composite | 0% | 50% | 50% | 50% |
| H3 | Fully burdened annual salary for an enterprise workflow/orchestration FTE | Composite | $124,875 | $124,875 | $124,875 | $124,875 |
| H4 | Incremental costs for on-premises hosting infrastructure | Composite | $0 | $250,000 | $350,000 | $500,000 |
| Ht | Ongoing costs of administration | (H1*H2*H3)+H4 | $0 | $499,750 | $537,313 | $687,313 |
| Risk adjustment | ↑10% | |||||
| Htr | Ongoing costs of administration (risk-adjusted) | $0 | $549,725 | $591,044 | $756,044 | |
| Three-year total: $1,896,814 | Three-year present value: $1,556,244 | |||||
Financial Summary
Consolidated Three-Year, Risk-Adjusted Metrics
Cash Flow Chart (Risk-Adjusted)
Cash Flow Analysis (Risk-Adjusted)
| Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
|---|---|---|---|---|---|---|
| Total costs | ($1,931,703) | ($2,318,285) | ($2,029,604) | ($1,204,604) | ($7,484,197) | ($6,621,631) |
| Total benefits | $0 | $6,366,776 | $13,934,750 | $22,488,667 | $42,790,193 | $34,200,369 |
| Net benefits | ($1,931,703) | $4,048,491 | $11,905,146 | $21,284,063 | $35,305,996 | $27,578,738 |
| ROI | 416% | |||||
| Payback | <6 months |
Please Note
The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in Orkes Conductor.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Orkes Conductor can have on an organization.
Due Diligence
Interviewed Orkes stakeholders and Forrester analysts to gather data relative to Orkes Conductor.
Interviews
Interviewed five decision-makers at organizations using Orkes Conductor to obtain data about costs, benefits, and risks.
Composite Organization
Designed a composite organization based on characteristics of the interviewees’ organizations.
Financial Model Framework
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.
Case Study
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Total Economic Impact Approach
Benefits
Benefits represent the value the solution delivers to the business. The TEI methodology places equal weight on the measure of benefits and costs, allowing for a full examination of the solution’s effect on the entire organization.
Costs
Costs comprise all expenses necessary to deliver the proposed value, or benefits, of the solution. The methodology captures implementation and ongoing costs associated with the solution.
Flexibility
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. The ability to capture that benefit has a PV that can be estimated.
Risks
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
Financial Terminology
Present value (PV)
The present or current value of (discounted) cost and benefit estimates given at an interest rate (the discount rate). The PVs of costs and benefits feed into the total NPV of cash flows.
Net present value (NPV)
The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs.
Return on investment (ROI)
A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs.
Discount rate
The interest rate used in cash flow analysis to take into account the time value of money. Organizations typically use discount rates between 8% and 16%.
Payback
The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.
Appendix A
Total Economic Impact
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
Appendix B
Supplemental Material
Related Forrester Research
The AI-Powered Innovation Lifecycle: From Concept To Enterprise Reality, Forrester Research, Inc., February 11, 2026.
Beyond Scheduling: The New Era Of Intelligent Workload Automation, Forrester Research, Inc., October 15, 2025.
Beyond RPA, DPA, And iPaaS — The Future Is Adaptive Process Orchestration, Forrester Research, Inc., March 25, 2025.
Leverage The Power Of Process Orchestration To Drive Innovation, Forrester Research, Inc., June 25, 2024
Appendix C
Endnotes
1 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
Disclosures
Readers should be aware of the following:
This study is commissioned by Orkes and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Orkes Conductor. For any interactive functionality, the intent is for the questions to solicit inputs specific to a prospect's business. Forrester believes that this analysis is representative of what companies may achieve with Orkes Conductor based on the inputs provided and any assumptions made. Forrester does not endorse Orkes or its offerings. Although great care has been taken to ensure the accuracy and completeness of this model, Orkes and Forrester Research are unable to accept any legal responsibility for any actions taken on the basis of the information contained herein. The interactive tool is provided ‘AS IS,’ and Forrester and Orkes make no warranties of any kind.
Orkes reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
Orkes provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
Erach Desai
Published
September 2026