Everest Group:2024流程編排:利用自動化的變革力量研究報告(英文版)(22頁).pdf

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Everest Group:2024流程編排:利用自動化的變革力量研究報告(英文版)(22頁).pdf

1、This document has been licensed to UiPathJuly 2024Process Orchestration Harnessing the Transformative Power of Automation ContentsCopyright 2024,Everest Global,Inc.All rights |this document has been licensed to UiPath03Introduction04Scaling automation:enterprise priorities and challenges07Why IA is

2、incomplete without process orchestration12Understanding process orchestration solutions16Process orchestrations use cases across key industries19Process orchestration adoption:challenges and best practices21Conclusion and future |EGR-2024-X-V-XXXXProcess Orchestration Harnessing the Transformative P

3、ower of AutomationI|this document has been licensed to UiPathIn the digital age,enterprises constantly seek innovative ways to streamline operations,improve efficiency,and deliver exceptional customer experiences.This has led to increased adoption of Intelligent Automation(IA)technologies,such as pr

4、ocess intelligence,Intelligent Document Processing(IDP),and conversational AI,over the past few years.Enterprises have successfully deployed automations for low-hanging fruits and simpler,high-volume repetitive tasks.However,they face challenges when scaling these initiatives to more complex,long-ru

5、nning processes.Efficiently orchestrating a hybrid workforce is a vital hurdle for enterprises striving to scale their automation initiatives.This imperative has driven a shift toward adeptly managing processes involving human and digital workers,making process orchestration technology a cornerstone

6、 within the IA ecosystem.Enterprises are gradually realizing the potential of process orchestration and its role in the overall IA ecosystem.However,many enterprises still stick to traditional approaches for process orchestration adoption,leading to high costs,inadequate RoI,and prolonged time-to-va

7、lue.These limitations of traditional process orchestration have paved the way for a modern approach.This approach seamlessly integrates process orchestration with process intelligence and automation technologies,such as Robotic Process Automation(RPA)and IDP,enabling rapid implementation of continuo

8、us process improvements.Today,process orchestration has widespread applications across many industries.Notably,organizations that have implemented process orchestration solutions effectively scaled their automation journeys and achieved superior business outcomes.In this viewpoint,we examine:Enterpr

9、ise business priorities and barriers to scaling automation Why IA is incomplete without process orchestration Process orchestration solutions Process orchestration use cases across key industries Key challenges and best practices when adopting process orchestration for scaling automation Organizatio

10、ns looking to scale their automation programs,executives responsible for digital transformation and automation initiatives,and operational leaders responsible for optimizing business operations will benefit from this |this document has been licensed to UiPath4Process Orchestration Harnessing the Tra

11、nsformative Power of AutomationScaling automation:enterprise priorities and challengesEnterprises key business prioritiesIn todays fast-paced and dynamic business environment,enterprises are constantly evolving to meet the demands of a competitive landscape.Rapid technology advances and shifting con

12、sumer behaviors are compelling businesses to reassess their strategies,seeking greater agility and responsiveness.This relentless drive for innovation and adaptability is essential for enterprises to thrive in an increasingly complex and interconnected global market.In 2024,various factors influence

13、 enterprise business priorities,such as macroeconomic uncertainties,geopolitical tensions,government regulations,changes in competitors strategies,shifts in customer behavior,and technology adoption.Here are the top five enterprise priorities in 2024:Boost operational efficiency:streamlining operati

14、ons and enhancing productivity through automated and optimized business processes Maximize revenue:expanding into new markets,launching new products,and enhancing pricing strategies to drive revenue growth Generate cost savings:reducing costs through outsourcing,adopting new technologies,and optimiz

15、ing resources Enhance customer experience:providing personalized,high-quality service across all customer touchpoints Improve employee experience:boosting employee satisfaction and engagement by creating a positive work environmentEnterprise leaders are increasingly embracing digital technologies as

16、 a key lever to achieve their business priorities.Improving operational efficiency is the top-of-the-mind business priority for enterprises.The other key priorities include maximizing revenue,generating cost savings,and enhancing stakeholder |this document has been licensed to UiPath5Process Orchest

17、ration Harnessing the Transformative Power of AutomationExhibit 1:External factors influencing business priorities in 2024Source:Everest Group 2024 Key Issues StudyThe external factors influencing business priorities are represented in Exhibit 1.Notably,76%of enterprises see adopting new technologie

18、s as a positive influence on their overall business and believe it will help them achieve their priorities.Automation and AI are among the top three next-generation technology areas where enterprise leaders are looking to accelerate their investments,as illustrated in Exhibit 2.Negative influenceNeu

19、tralPositive influenceEvolution and adoption of new technologies14%10%76%Changes in customer interest and purchasing behavior27%21%52%Changes in competitors strategies,market share,and offerings31%38%31%Government policies and regulations41%31%28%Global macroeconomic conditions75%4%21%Geopolitical e

20、nvironment68%19%13%|this document has been licensed to UiPath6Process Orchestration Harnessing the Transformative Power of AutomationExhibit 2:Top digital investments for the next 6-12 monthsSource:Everest Group 2024 Key Issues Study and 2023 Key Issues StudyEnterprises continue to achieve significa

21、nt benefits from their automation and AI deployments compared to enterprises that have yet to deploy these technologies.Exhibit 3 demonstrates enterprise outcome comparison along the cost,operational,and strategic impact.Exhibit 3:Enterprise outcomes comparisonSource:Everest Groups Enterprise Intell

22、igent Automation Pinnacle Model Assessment 2022However,scaling automation and AI programs has been challenging.Growth in spend2023 rank2024 rankExpected growth in spendCybersecurity21Cloud solutions12Automation and AI43Big data analytics34Generative AINew addition in 20245Moderate(4-5%)Low(2-3%)Sign

23、ificant(more than 6%)Strategic impactExperienced 60%higher impact in strategic areas,such as employee experience,top line growth,customer satisfaction,and time-to-market.Operational impactAchieved1.4X improvement in operational metrics such as employee productivity,turnaround time,and operational ef

24、ficiency.Cost impactGenerated approximately 2.3X ROI and 3.7X higher cost |this document has been licensed to UiPath7Process Orchestration Harnessing the Transformative Power of AutomationChallenges in scaling automation initiatives Enterprises face several challenges in scaling their automation ini

25、tiatives,including:Orchestrating digital and human workforces:a key hurdle,especially when scaling automation to long-running or complex workflows Understanding processes:essential for prioritizing suitable processes for automation,and a lack of it hinders efforts Change management:resistance to cha

26、nge within the organization impacts automation initiatives Raising technology awareness:limited understanding impedes the progress of automation projects Overcoming a siloed approach:teams working in isolation lead to inefficiencies,making it difficult to scale automation across the entire organizat

27、ion Securing stakeholder buy-in:limited understanding of new technologies and their benefits hinders support Identifying transformation opportunities:the complexity and scale of operations make this challenging Addressing talent shortages:automation and transformation initiatives demand new skills a

28、nd expertise,often not readily available in the existing workforceAmong these challenges,orchestration is the topmost barrier to scaling automation in an enterprise.Without effective orchestration,automation efforts result in limited scale,poor governance,and disruptions to vital processes.Why IA is

29、 incomplete without process orchestrationWhat is a process?A process is a comprehensive sequence of workflows and tasks designed to achieve a specific business outcome.Within a process,a workflow represents the sequence of tasks and activities carried out to complete a specific piece of work.Each ta

30、sk is a unit of work or a series of activities contributing to a goal,while an activity is a specific action or set of actions that are part of a task.Exhibit 4 demonstrates an Accounts Payable(AP)process with details into workflows,tasks,and activities that are part of the |this document has been l

31、icensed to UiPath8Process Orchestration Harnessing the Transformative Power of AutomationExhibit 4:Detailed view into the Accounts Payable(AP)processSource:Everest Group(2024)In the AP process,there are different workflows(e.g.,vendor management,Purchase Order(PO)creation,invoice processing).When we

32、 take the case of an invoice processing workflow,it includes tasks such as invoice receipt and capture,invoice validation,invoice matching,and invoice approval.The invoice validation task involves activities such as reviewing the invoice details,checking duplicate invoices,and performing compliance-

33、related checks.In summary,activities are the smallest units of work,tasks are collections of activities,workflows are sequences of tasks,and processes are comprehensive sequences of workflows designed to achieve a specific business outcome.WorkflowsTasksActivitiesVendor managementPurchase Order(PO)c

34、reationExpense reportingPayment processingInvoice processingCompliance managementInvoice receipt and captureInvoice validationInvoiceapprovalInvoicematchingChecking invoice detailsChecking invoice with POsCompliance related checksChecking duplicate invoicesProcessAccounts Payable(AP)|this document h

35、as been licensed to UiPath9Process Orchestration Harnessing the Transformative Power of AutomationRole of process orchestration in enabling automations at scaleProcess orchestration is software that helps design,execute,and monitor end-to-end business processes.It includes key capabilities such as p

36、rocess modeling,business rules management,designing user interfaces for capturing and presenting data,hybrid workforce management,and providing process-related insights.Process orchestration is the backbone of modern automation strategies,enabling organizations to achieve agility and adaptability in

37、 their operations.It plays a vital role in scaling automation to long-running workflows in three different ways.Bridging the gap between discovery and executionProcess orchestration is the connective tissue between the insights generated by process intelligence solutions and associated actions.This

38、integration enables enterprises to identify opportunities for improvement and implement these enhancements in a structured and scalable manner.Modern process intelligence technologies,including process mining,digital interaction intelligence,and communications mining,are essential for validating and

39、 executing optimizations and automation.These tools provide continuous discovery and analysis to offer real-time insights.Process orchestration can be leveraged for execution post the discovery and analysis using process intelligence solutions in the following ways:Data-driven insights:offering a co

40、mprehensive view of existing processes,highlighting inefficiencies and bottlenecks Governance and compliance:ensuring all changes are systematically controlled and aligned with compliance standards,maintaining consistency and reliability across the organizationProcess simulation:simulating the impac

41、t of automation/optimization ideas to ensure they deliver expected value/RoI,and managing these automated/optimized processes effectively with process orchestrationContinuous monitoring:providing ongoing visibility into the performance of business processes,allowing for further improvements using au

42、tomation and process orchestration solutionsAutomation integration:strategically identifying automation areas,deploying various automation technologies,and managing the automated processes effectively with process |this document has been licensed to UiPath10Process Orchestration Harnessing the Trans

43、formative Power of AutomationIn essence,process orchestration bridges the gap between discovery and execution.By leveraging process intelligence technologies,enterprises can validate insights,optimize processes,and implement automation in an actionable and scalable manner.This holistic approach enha

44、nces operational efficiency and fosters a culture of continuous improvement,ensuring sustained competitive advantage.Holistic action on discovered automation and optimization insightsEnterprises analyze insights discovered from process intelligence solutions to take actions such as automating and op

45、timizing processes.It is important to note that automating a poorly performing process can amplify inefficiencies.Hence,enterprises must prioritize optimizing their business processes first to ensure they are streamlined and effective before scaling up automation initiatives.Based on the discovered

46、and prioritized automation opportunities,enterprises leverage RPA,IDP,API automation,and conversational AI solutions to automate their processes.After these optimizations and automation deployments,enterprises must implement process orchestration solutions to manage these automated processes effecti

47、vely.Process orchestration helps integrate automation and optimization efforts within a unified platform rather than handling them in silos.By using process orchestration solutions for both automation and optimization,enterprises can generate more cost savings and achieve greater efficiency,eliminat

48、ing bottlenecks and inefficiencies holistically.Managing complex processes across automated,human,and system stepsIn todays era of widespread automation,process orchestration is essential to manage the interplay between automated,human,and system steps.With the increasing adoption of AI-driven autom

49、ation solutions,organizations are transitioning to a hybrid workforce where automation tools,human expertise,and system integrations collaborate to drive business outcomes.Process orchestration ensures seamless coordination between automated processes,human interventions,and system actions that span

50、 multiple teams and applications.By orchestrating the flow of work across the hybrid workforce,organizations can unlock new levels of productivity,innovation,and customer value.Key features such as AI-based task allocation,centralized exception handling,and workload optimization are essential for th

51、e effective management of complex processes.AI-based task allocation:dynamically assigning tasks to the most appropriate resource,whether a digital worker(for example,RPA and IDP),a human worker,or a combination of bothCentralized exception handling:promptly addressing issues to minimize disruptions

52、 and maintain workflow continuityWorkload optimization:efficiently utilizing all resources,preventing bottlenecks,and maximizing |this document has been licensed to UiPath11Process Orchestration Harnessing the Transformative Power of AutomationThis integrated approach enhances operational efficiency

53、 and drives innovation by allowing human workers to focus on strategic activities while automation and system processes handle routine tasks.Through process orchestration,organizations can handle complex processes effectively across automated,human,and system steps,leading to improved business outco

54、mes.Consequently,process orchestration is vital in an enterprise-grade intelligent automation solution.Exhibit 5 illustrates the Intelligent Automation Platform(IAP)architecture along with its key components.Exhibit 5:IAP architectureSource:Everest Group(2024)Process orchestrationLow-code/No-codeAI/

55、ML/LLMProcess management and governanceInteraction/ExperienceAI-basedautomationProcess discovery and intelligenceRules-basedautomationProcess design and executionUI/UX/Forms developmentIDPProcess miningRPA(UI automation)Business rules managementConversational interfaces developmentConversational AIT

56、ask mining(or)Digital Interaction Intelligence(DII)API automationFunctional layersHybrid W|this document has been licensed to UiPath12Process Orchestration Harnessing the Transformative Power of AutomationUnderstanding process orchestration solutionsProcess orchestration solutions key capabilitiesTh

57、ere are four key capabilities of a process orchestration solution:Exhibit 6 outlines the architecture of a process orchestration solution.Process design and executionThis capability allows users to design business processes,document process maps,and execute processes.It also enables users to define

58、scenarios and run AI-based simulations to aid in business decisionsBusiness rules and decision managementThis feature allows users to configure and execute business rules within the process and discover existing business rules in the business processesLow-code/No-code user interface developmentThis

59、functionality allows users to create static and dynamic forms and build process-centric applications to automate workflows.The form builder also includes a centralized repository of standard reusable form templates for common use casesHybrid workforce managementThis capability helps in assigning tas

60、ks to resources,handling exceptions,and optimizing the workload between human and digital workforce using AI/ML algorithms.Users can configure alerts and notifications for any exceptionsProcess orchestration is a software that helps design,execute,and monitor end-to-end business processes.It also he

61、lps orchestrate the flow of work across human workers,digital workers(such as RPA,IDP,and conversational AI),and enterprise applications in long-running |this document has been licensed to UiPath13Process Orchestration Harnessing the Transformative Power of AutomationExhibit 6:Key components of a pr

62、ocess orchestration solutionSource:Everest Group(2024)Integrating generative AI with process orchestrationGenerative AI,a subset of AI technology,empowers systems to generate content or data based on learned patterns and inputs.In the dynamic automation landscape,enterprises are exploring innovative

63、 approaches to optimize their operations and drive efficiency gains.Integrating generative AI with process orchestration can bring a paradigm shift,offering organizations unprecedented opportunities to optimize workflows,enhance decision-making,and deliver personalized experiences at scale.The Exhib

64、it below highlights some key applications of generative AI across the process orchestration layers.Process discovery and analysisComponents of a process orchestratorEnterprise user interfaceProcessmodelerForm builder/App designerControl center/UI for collaborationAnalyticsdashboardCore enginesBusine

65、ss rulesengineWorkflow engineAPI/ConnectorsDatabaseHuman agentsEnterprise applicationsComplementary capabilitiesAutomationCoE leaderBusinessanalystProcessownerERPDocument management and collaborationCRMRPAIDPConversationalAI|this document has been licensed to UiPath14Process Orchestration Harnessing

66、 the Transformative Power of AutomationExhibit 7:Generative AI applications and impact across process orchestration functionalities Source:Everest Group(2024)A few providers have begun integrating generative AI capabilities,including the ability to create initial workflows from natural language prom

67、pts and a digital assistant to support daily tasks.These innovations help enterprises reduce process design time,enhance workforce productivity,and improve overall process efficiency.Providers are also investing in other generative AI features,such as form and application generation and chat interfa

68、ces for process insights.These advances enable enterprises to save time when creating forms and applications while achieving faster time-to-insights.Business rules managementGenerate and configure business rules through natural language instructions,dynamically aligning rules with real-time business

69、 conditionsLow-code/No-code UI development Generate forms and applications through natural language instructions Generate interfaces by uploading documents such as provider onboarding forms Automate code components creation based on predefined design principlesHybrid workforce management Assist huma

70、ns in tasks such as auto-generating sales emails and drafting customer support responses Analyze the nature of tasks,historical performance data,and real-time workloads to optimize task allocation between human and digital workers Chat interface for generating process-related insights,reports,and su

71、mmariesProcess design and execution Generate and edit initial workflows through natural language commands Generate positive and negative test cases for workflow testing Potential impact of generative AIHighL|this document has been licensed to UiPath15Process Orchestration Harnessing the Transformati

72、ve Power of AutomationTraditional vs.modern approach to process orchestrationChallenges with a traditional process orchestration approach,such as high costs,insufficient RoI,extended time-to-value,and lack of adaptability,have paved the way for a modern process orchestration approach.Next-generation

73、 automation and discovery technologies are driving this shift.When comparing traditional and modern approaches to process orchestration,four distinct differences emerge.These differences are summarized in Exhibit 8.Exhibit 8:Traditional vs.modern approach to process orchestrationSource:Everest Group

74、(2024)AspectTraditionalapproachModernapproachLacks capabilities to design automated processesOffers automation capabilities to build and manage automated processesAutomation capabilitiesModeling-heavy approach that starts with manual process designAutomated and continuous discovery using process int

75、elligence solutionsProcessdesignReliance on IT teams for coding and technical expertiseChampions ease of use with low-code/no-code functionalitiesTechnical expertise Complex implementation cycles and long wait timesShorter implementation cycles with agile methodologiesImplementation |this document h

76、as been licensed to UiPath16Process Orchestration Harnessing the Transformative Power of AutomationFirstly,a traditional approach entails complex implementation cycles,marked by cumbersome development and integration processes and long wait times for process design and execution.In contrast,a modern

77、 approach embraces agility with shorter implementation cycles,leveraging intuitive tools for swift adaptation and iterative improvements.Secondly,enterprises using traditional methods tend to rely heavily on IT teams for coding or technical expertise,leading to heavy-weight implementations that incr

78、ease the processs complexity.Conversely,the modern approach champions ease of use,featuring low-code/no-code features and AI capabilities that empower users to deploy and modify processes more efficiently,reducing the need for extensive coding knowledge.Thirdly,traditional methods are characterized

79、by a modeling-heavy approach that starts with manual process design and modeling the to-be state.In contrast,a modern process orchestration approach allows for automated and continuous discovery using AI-based process intelligence solutions,providing a holistic view of processes and improvement oppo

80、rtunities on an ongoing basis.Based on the discovered insights,enterprises leverage process orchestration solutions to manage execution across different aspects,such as process redesign,process optimization,automation,and hybrid workforce management.This approach enables seamless integration with pr

81、ocess intelligence and automation technologies,facilitating swift identification and implementation of desired improvements within the process flow on an ongoing basis.Lastly,traditional approaches often lack robust automation capabilities,making it difficult to manage and optimize automated process

82、es.In contrast,the modern process orchestration approach includes advanced automation capabilities that leverage resilient long-running workflows.These capabilities enable seamless human and robot collaboration,incorporating complex decision logic,all from a single,integrated platform.This ensures t

83、hat both human expertise and automated processes work together efficiently to drive optimal business outcomes.Process orchestrations use cases across key industriesProcess orchestration solutions have various applications beyond reducing inefficiencies and promoting transparency across industries.En

84、terprises often deploy them for workflow automation,hybrid workforce management,process standardization,and process governance and compliance.Here are some use cases across different industries:|this document has been licensed to UiPath17Process Orchestration Harnessing the Transformative Power of A

85、utomationApproach to process orchestration Integrated banking systems across loan categories,ensuring a seamless flow of information Enabled collaboration among human-human and human-digital workers Deployed automated compliance checks and comprehensive audit trailsOutcomes achieved Reduced processi

86、ng costs by minimizing manual errors Accelerated loan processing time through automated workflowsOrganization size 150,000 employeesTop adoption drivers Achieve cost savings by streamlining the loan processing workflow Improve customer experience by expediting loan processing timeKey sponsorChief In

87、vestment Officer(CIO)Challenges faced in the process Fragmented banking systems,resulting in longer loan processing times Lack of clear communication across different departments Difficulties in ensuring compliance with evolving regulationsUse caseLoan processingBanking and financial services(BFS)In

88、suranceApproach to process orchestration Integrated all systems and databases to ensure a smooth flow of data in the claims process Configured rules to analyze the complexity of cases and assign them based on skillset Built dashboards to identify and eliminate redundancies Outcomes achieved Reduced

89、claims handling time,leading to higher customer satisfaction Increased employee productivity via case managementOrganization size 3,000 employeesTop adoption drivers Increase customer satisfaction and loyalty Improve the volume of claims processedKey sponsorChief Customer Officer(CCO)Challenges face

90、d in the process Disparate data and systems,creating silos around sales,service,and claims teams Manual allocation of cases to claims adjusters leading to administrative burdenUse caseClaims |this document has been licensed to UiPath18Process Orchestration Harnessing the Transformative Power of Auto

91、mationOrganization size 600,000 employeesKey sponsorHead of AutomationUse caseClinical trials and managementHealthcare and pharmaApproach to process orchestration Deployed automation to extract data from documents and enter it into electronic systems Automated task allocation(for example,data collec

92、tion)across human and digital workers Configured decision rules for automated approvals of clinical trial dataOutcomes achieved Standardized the clinical trials process Achieved time and cost savings due to process automation Timely approvals of clinical trial dataTop adoption drivers Generate cost

93、savings through process automation Standardize the clinical trials processChallenges faced in the process Slow clinical trial coordination due to decentralized locations Long and time-consuming approval process Manual document processingApproach to process orchestration Integrated with third-party s

94、ystems to enable data transfer and streamline operations Configured rules and alerts to ensure services are delivered on time to citizens Automated appointment scheduling and payment processing activities to enhance efficiencyOutcomes achieved On-time service delivery to citizens Significant reducti

95、on in errors in service delivery Ensured service delivery complies with regulationsTop adoption drivers Increase efficiency of the service delivery process Improve process governance and complianceChallenges faced in the process Error-prone and time-consuming service delivery process No connections

96、to third-party systems such as eGovernment and commercial solutions(for example,SAP)Government and public sectorOrganization size 40,000 employeesKey sponsorIT DirectorUse casePublic service |this document has been licensed to UiPath19Process Orchestration Harnessing the Transformative Power of Auto

97、mationApproach to process orchestration Integrated Enterprise Resource Planning(ERP)and other systems to track materials and ensure data consistency Digitized paper-based processes and deployed automation to streamline workflows Established a feedback loop for improved collaboration between front-an

98、d back-office teamsOutcomes achieved Improved efficiency of the quality control process by reducing manual errors Enhanced governance and compliance in identifying defects and ensuring adherence to standardsOrganization size 4,000 employeesTop adoption drivers Reduce errors during quality checks Adh

99、ere to industry standards and regulations for material inspection Key sponsorVice President,Process and QualityChallenges faced in the process Manual and error-prone process involving spreadsheets,emails,and paper documents Lack of standardized processes and clear communicationUse caseQuality contro

100、l and managementManufacturingProcess orchestration adoption:challenges and best practicesChallenges in adopting process orchestrationDeploying and scaling process orchestration solutions as part of automation initiatives presents several challenges that organizations must address to integrate them s

101、uccessfully into their operations.Lack of overall process visibility:Enterprises often struggle with a lack of visibility into their overall processes due to siloed operations and inadequate documentation of process steps.This lack of visibility can significantly extend implementation times for proc

102、ess orchestration and scaling automation initiatives within the processes Lack of technology awareness:Many organizations face challenges because employees have limited awareness and understanding of process orchestration technologies,their applications,and benefits.This gap in knowledge can hinder

103、automation solutions effective |this document has been licensed to UiPath20Process Orchestration Harnessing the Transformative Power of Automation Lack of stakeholder alignment:There is frequently misalignment between business and IT teams,making it difficult for enterprises to adopt process orchest

104、ration solutions.Effective collaboration and alignment are essential for successful automation initiatives Internal resistance:Operational subject matter experts and stakeholders may be reluctant to adopt new tools/technologies and new ways of working.They can also resist automation and any changes

105、that could streamline processes.This resistance can slow down process orchestration adoption Improper metrics:Operational teams lack of involvement and the inability to identify the right set of metrics or KPIs for tracking process performance can limit the adoption of process orchestration solution

106、s.Proper metrics are essential for measuring the success and impact of automation initiativesAddressing these challenges requires proactive communication and collaboration across teams,clear process documentation,effective change management strategies,and establishing meaningful metrics to track pro

107、gress and success.Organizations that successfully navigate these challenges are better positioned to leverage process orchestration for improved operational efficiency and agility.Best practices to maximize value with process orchestration Based on our research,enterprises that have successfully ado

108、pted process orchestration solutions at scale and realized maximum value from these initiatives have followed certain best practices,as discussed below:Starting small-scale:Initiating with small-scale deployments allows enterprises to identify and resolve task-level bottlenecks early on.This approac

109、h ensures a positive RoI by gradually adopting and expanding across multiple use cases Fact-based process understanding:Leveraging process intelligence tools provides a fact-based understanding of as-is processes and identifies improvement opportunities.This insight enables faster and more efficient

110、 process orchestration technologies adoption Stakeholder alignment:Involving business users early in the process is important to overcome resistance and cultural barriers during large-scale implementations.Business users can help identify pain points in current processes and draft solutions based on

111、 discovered insights,ensuring acceptance and maintaining momentum Performance measurement:Establishing appropriate KPIs from the outset and consistently monitoring performance is essential.Process intelligence tools play a key role in measuring and tracking the impact of changes driven by process or

112、chestration solutions.This practice facilitates continuous process improvements and enhances automation outcomes over |this document has been licensed to UiPath21Process Orchestration Harnessing the Transformative Power of Automation Training and education:Driving awareness and understanding among b

113、usiness users is vital for successful implementation.Utilizing workshops,reports,videos,and structured training programs helps educate and equip business resources with the necessary skills to effectively use the process orchestration platform for streamlining business processesConclusion and future

114、 outlook As enterprises accelerate their automation initiatives,managing diverse processes involving a hybrid workforce becomes essential.Process orchestration provides essential governance,bridges the gap between insights and execution,and manages the flow of work across human and digital workers.M

115、odern process orchestration solutions integrate AI,modularity,and low-code/no-code capabilities,enhance agility,and foster continuous improvement.Generative AI further amplifies efficiency and ease of use and drives innovation in these solutions.From streamlining operations and optimizing workflows

116、to managing the hybrid workforce and ensuring governance,process orchestration solutions are indispensable for maximizing the benefits of automation initiatives across various industries.To ensure the successful adoption and integration of process orchestration solutions as part of their automation

117、strategy,enterprises can start small-scale,meticulously document processes,align with different teams/stakeholders,establish performance measurement,and invest in education and training.Looking ahead,prioritizing investments in process orchestration capabilities will be essential for enterprises to

118、maintain agility and innovation in todays dynamic business environment.Embracing process orchestration as a strategic imperative enables organizations to unlock new growth opportunities and succeed in the digital age.Everest Group is a leading research firm helping business leaders make confident de

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