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Intelligent Cloud-Based Process Automation for Saudi Enterprises under Vision 2030: Integrating SAP BTP, Robotic Process Automation, and Enterprise Workflow Orchestration

Umair Javed

Subject area: Science,Engineering and Technology  ·  Area of research: Robotics

Abstract

Saudi enterprises are under pressure to shorten administrative cycles without weakening accountability, security or continuity across established business applications. This critical integrative review examines how SAP Business Technology Platform (BTP), robotic process automation (RPA) and enterprise workflow orchestration can be combined into a governed approach to cloud-based automation aligned with Vision 2030. Thirty DOI-identifiable studies published from 2020 to 2025 were synthesised across process selection, architecture, organisational capability, operational assurance and Saudi adoption conditions. The review distinguishes task-level interface automation from process-level coordination and argues that reliable transformation depends on an explicit allocation of work among application programming interfaces, workflow engines, decision services, human approvals and software robots. An original reference architecture and lifecycle framework are developed, alongside criteria for investment appraisal and performance measurement. Evidence suggests that isolated bot deployments often displace rather than remove complexity, whereas process-aware governance can improve resilience, traceability and staff participation. The proposed framework is conceptual rather than empirically validated; therefore, benefits are framed as testable propositions, not observed Saudi outcomes. It offers enterprise architects and decision-makers a method for evaluating automation opportunities while preserving controls and creating capabilities relevant to economic diversification and service quality.

Keywords

intelligent process automation, SAP BTP, robotic process automation, workflow orchestration, hybrid cloud, process mining, Saudi Vision 2030

References

[1] Syed R, Suriadi S, Adams M, et al. Robotic Process Automation: Contemporary themes and challenges. Computers in Industry. 2020;115:103162. https://doi.org/10.1016/j.compind.2019.103162

[2] Stravinskienė I, Serafinas D. Process Management and Robotic Process Automation: The Insights from Systematic Literature Review. Organizacijų Vadyba: Sisteminiai Tyrimai. 2021;85:87–106. https://doi.org/10.1515/mosr-2021-0006

[3] Ouyang C, Adams M, ter Hofstede AHM, Yu Y. Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud. ACM Transactions on Management Information Systems. 2021;12(4):36. https://doi.org/10.1145/3460123

[4] Ayadi F. Critical factors affecting the decision to adopt cloud computing in Saudi health care organizations. Electronic Journal of Information Systems in Developing Countries. 2022;88(6):e12231. https://doi.org/10.1002/isd2.12231

[5] Mujalli A, Wani MJG, Almgrashi A, et al. Investigating the factors affecting the adoption of cloud accounting in Saudi Arabia's small and medium-sized enterprises (SMEs). Journal of Open Innovation: Technology, Market, and Complexity. 2024;10(2):100314. https://doi.org/10.1016/j.joitmc.2024.100314

[6] Jaradat Z, Al-Hawamleh A, Hamdan A. Examining the integration of ERP and BI in the industrial sector and its impact on decision-making processes in KSA. Digital Policy, Regulation and Governance. 2025;27(2):117–144. https://doi.org/10.1108/DPRG-04-2024-0077

[7] Moreira S, Mamede HS, Santos A. Process automation using RPA: a literature review. Procedia Computer Science. 2023;219:244–254. https://doi.org/10.1016/j.procs.2023.01.287

[8] Herm LV, Janiesch C, Helm A, et al. A framework for implementing robotic process automation projects. Information Systems and e-Business Management. 2023;21:1–35. https://doi.org/10.1007/s10257-022-00553-8

[9] Crisan EL, Chis DM, Bodea EE, Buchmann R. Mechanisms for robotic process automation implementation in organizations: a systematic literature review. Journal of Advances in Management Research. 2023;20(5):920–946. https://doi.org/10.1108/JAMR-04-2023-0100

[10] Calcaterra D, Tomarchio O. Policy-Based Holistic Application Management with BPMN and TOSCA. SN Computer Science. 2023;4:232. https://doi.org/10.1007/s42979-022-01616-w

[11] Hachemi A. POEML: a Process Orchestration, Execution, and Modeling Language. Journal of Software: Evolution and Process. 2022;34(6):e2456. https://doi.org/10.1002/smr.2456

[12] El-Gharib NM, Amyot D. Robotic process automation using process mining: A systematic literature review. Data & Knowledge Engineering. 2023;148:102229. https://doi.org/10.1016/j.datak.2023.102229

[13] Leno V, Polyvyanyy A, Dumas M, et al. Robotic Process Mining: Vision and Challenges. Business & Information Systems Engineering. 2021;63:301–314. https://doi.org/10.1007/s12599-020-00641-4

[14] Agostinelli S, Lupia M, Marrella A, Mecella M. Reactive synthesis of software robots in RPA from user interface logs. Computers in Industry. 2022;142:103721. https://doi.org/10.1016/j.compind.2022.103721

[15] Rehse JR, Abb L, Berg G, et al. User Behavior Mining. Business & Information Systems Engineering. 2024;66:799–816. https://doi.org/10.1007/s12599-023-00848-1

[16] Egger A, ter Hofstede AHM, Kratsch W, et al. Bot log mining: An approach to the integrated analysis of Robotic Process Automation and process mining. Information Systems. 2024;126:102431. https://doi.org/10.1016/j.is.2024.102431

[17] Rott J, Böhm M, Krcmar H. Laying the ground for future cross-organizational process mining research and application: a literature review. Business Process Management Journal. 2024;30(8):144–206. https://doi.org/10.1108/BPMJ-04-2023-0296

[18] Farinha D, Pereira R, Almeida R. A framework to support Robotic process automation. Journal of Information Technology. 2024;39(1):149–166. https://doi.org/10.1177/02683962231165066

[19] Šperka R, Halaška M. The performance assessment framework (PPAFR) for RPA implementation in a loan application process using process mining. Information Systems and e-Business Management. 2023;21:277–321. https://doi.org/10.1007/s10257-022-00602-2

[20] Ylä-Kujala A, Kedziora D, Metso L, et al. Robotic process automation deployments: a step-by-step method to investment appraisal. Business Process Management Journal. 2023;29(8):163–187. https://doi.org/10.1108/BPMJ-08-2022-0418

[21] van Hoek R, Larsen JG, Lacity M. Robotic process automation in Maersk procurement: applicability of action principles and research opportunities. International Journal of Physical Distribution & Logistics Management. 2022;52(3):285–298. https://doi.org/10.1108/IJPDLM-09-2021-0399

[22] Asatiani A, Copeland O, Penttinen E. Deciding on the robotic process automation operating model: A checklist for RPA managers. Business Horizons. 2023;66(1):109–121. https://doi.org/10.1016/j.bushor.2022.03.004

[23] Schlegel D, Rosenberg B, Fundanovic O, Kraus P. How to conduct successful business process automation projects? An analysis of key factors in the context of robotic process automation. Business Process Management Journal. 2024;30(8):99–119. https://doi.org/10.1108/BPMJ-06-2023-0465

[24] Plattfaut R, Borghoff V, Godefroid M, et al. The Critical Success Factors for Robotic Process Automation. Computers in Industry. 2022;138:103646. https://doi.org/10.1016/j.compind.2022.103646

[25] Lameijer B, de Vries ESL, Antony J, et al. The implementation of Lean Six Sigma for the optimization of robotic process automation systems in financial service operations. Business Process Management Journal. 2024;30(8):232–259. https://doi.org/10.1108/BPMJ-08-2023-0640

[26] Chapela-Campa D, Dumas M. From process mining to augmented process execution. Software and Systems Modeling. 2023;22:1977–1986. https://doi.org/10.1007/s10270-023-01132-2

[27] Al-Hawamleh AM. Investigating the multifaceted dynamics of cybersecurity practices and their impact on the quality of e-government services: evidence from the KSA. Digital Policy, Regulation and Governance. 2024;26(3):317–336. https://doi.org/10.1108/DPRG-11-2023-0168

[28] Moderno OBS, Braz AC, Nascimento PTS. Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view. Business Process Management Journal. 2024;30(1):105–134. https://doi.org/10.1108/BPMJ-08-2022-0409

[29] Falih N, Supangkat SH, Lubis FF, Prabowo OM. Revolutionizing Process Automation: The Synergy of Low-Code Development Platforms, Robotic Process Automation, and Integrated Smart System Platform. IEEE Access. 2024;12:118694–118706. https://doi.org/10.1109/ACCESS.2024.3447882

[30] Lee C, Kim HF, Lee BG. A Systematic Literature Review on the Strategic Shift to Cloud ERP: Leveraging Microservice Architecture and MSPs for Resilience and Agility. Electronics. 2024;13(14):2885. https://doi.org/10.3390/electronics13142885

How to cite this paper

Umair Javed "Intelligent Cloud-Based Process Automation for Saudi Enterprises under Vision 2030: Integrating SAP BTP, Robotic Process Automation, and Enterprise Workflow Orchestration" Iconic Research And Engineering Journals Volume 10 Issue 5 2026 Page 2280-2292
Umair Javed "Intelligent Cloud-Based Process Automation for Saudi Enterprises under Vision 2030: Integrating SAP BTP, Robotic Process Automation, and Enterprise Workflow Orchestration" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026
Umair Javed (2026). Intelligent Cloud-Based Process Automation for Saudi Enterprises under Vision 2030: Integrating SAP BTP, Robotic Process Automation, and Enterprise Workflow Orchestration. Iconic Research And Engineering Journals, 10(5).
Umair Javed "Intelligent Cloud-Based Process Automation for Saudi Enterprises under Vision 2030: Integrating SAP BTP, Robotic Process Automation, and Enterprise Workflow Orchestration" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026.
@article{1725091,
      author = {Umair Javed},
      title = {Intelligent Cloud-Based Process Automation for Saudi Enterprises under Vision 2030: Integrating SAP BTP, Robotic Process Automation, and Enterprise Workflow Orchestration},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {5},
      pages = {2280-2292},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1725091.pdf},
      abstract = {Saudi enterprises are under pressure to shorten administrative cycles without weakening accountability, security or continuity across established business applications. This critical integrative review examines how SAP Business Technology Platform (BTP), robotic process automation (RPA) and enterprise workflow orchestration can be combined into a governed approach to cloud-based automation aligned with Vision 2030. Thirty DOI-identifiable studies published from 2020 to 2025 were synthesised across process selection, architecture, organisational capability, operational assurance and Saudi adoption conditions. The review distinguishes task-level interface automation from process-level coordination and argues that reliable transformation depends on an explicit allocation of work among application programming interfaces, workflow engines, decision services, human approvals and software robots. An original reference architecture and lifecycle framework are developed, alongside criteria for investment appraisal and performance measurement. Evidence suggests that isolated bot deployments often displace rather than remove complexity, whereas process-aware governance can improve resilience, traceability and staff participation. The proposed framework is conceptual rather than empirically validated; therefore, benefits are framed as testable propositions, not observed Saudi outcomes. It offers enterprise architects and decision-makers a method for evaluating automation opportunities while preserving controls and creating capabilities relevant to economic diversification and service quality.},
      keywords = {intelligent process automation, SAP BTP, robotic process automation, workflow orchestration, hybrid cloud, process mining, Saudi Vision 2030},
      month = {November},
  }