Abstract
The relevance of Robotic Process Automation (RPA) has increased over the last few years. Combining RPA with Artificial Intelligence (AI) can further enhance the business value of the technology. The aim of this research was to analyze applications, terminology, benefits, and challenges of combining the two technologies. A total of 60 articles were analyzed in a systematic literature review to evaluate the aforementioned areas. The results show that by adding AI, RPA applications can be used in more complex contexts, it is possible to minimize the human factor during the development process, and AI-based decision-making can be integrated into RPA routines. This paper also presents a current overview of the used terminology. Moreover, it shows that by integrating AI, some unseen challenges in RPA projects can emerge, but also a lot of new benefits will come along with it. Based on the outcome, it is concluded that the topic offers a lot of potential, but further research and development is required. The result of this study help researches to gain an overview of the state-of-the-art in combining RPA and AI.
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References
Agostinelli, S., Lupia, M., Marrella, A., & Mecella, M. (2020). Automated generation of executable RPA scripts from user interface logs. In International Conference on Business Process Management (pp. 116–131). Available from: https://link.springer.com/chapter/10.1007/978-3-030-58779-6_8.
Agostinelli, S., Marrella, A., & Mecella, M. (2019). Research challenges for intelligent robotic process automation (pp. 12–18). Springer. Available from: https://link.springer.com/chapter/10.1007/978-3-030-37453-2_2.
Agostinelli, S., Marrella, A., & Mecella, M. (2020). Towards intelligent robotic process automation for BPMers. CoRR, abs/2001.00804.
AIMdek Technologies. (2018). Evolution of Robotic Process Automation (RPA): The Path to Cognitive RPA. Available from: https://medium.com/@AIMDekTech/evolution-of-robotic-process-automation-the-path-to-cognitive-rpa-c3bd52c8b865 (31 August 2021).
Anagoste, S. (2018). Robotic Automation Process – The operating system for the digital enterprise. Proceedings of the 12th International Conference on Business Excellence. Innovation and Sustainability in a Turbulent Economic Environment, pp. 54–69.
Asatiani, A., & Penttinen, E. (2016). Turning robotic process automation into commercial success – Case OpusCapita. Journal of Information Technology Teaching Cases, 6(2), 67–74.
Beerbaum, D. (2021). Artificial intelligence ethics taxonomy - robotic process automation (RPA) as business case. Special Issue ‘Artificial Intelligence& Ethics’ European Scientific Journal.
Benson Edwin Raj, S., & Annie Portia, A. (2011). Analysis on credit card fraud detection methods. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET). IEEE.
Bingler, D. (2019). Ist RPA mehr als eine Brückentechnologie? COMPUTERWOCHE 16 July. Available from: https://www.computerwoche.de/a/ist-rpa-mehr-als-eine-brueckentechnologie,3547366 (19 August 2021).
Bremmer, M. (2019). So schöpfen Unternehmen das Automatisierungspotenzial aus. COMPUTERWOCHE 03 November. Available from: https://www.computerwoche.de/a/so-schoepfen-unternehmen-das-automatisierungspotenzial-aus,3546702 (19 August 2021).
Capgemini. (2020). Pushing the limits of RPA with AI. Available from: https://www.capgemini.com/2018/11/pushing-the-limits-of-rpa-with-ai/ (19 August 2021).
Cfb Bots. (2018). The difference between Robotic process automation and artificial intelligence. Available from: https://cfb-bots.medium.com/the-difference-between-robotic-process-automation-and-artificial-intelligence-4a71b4834788 (30 August 2021).
Chakraborti, T., Isahagian, V., Khalaf, R., Khazaeni, Y., Muthusamy, V., Rizk, Y., & Unuvar, M. (eds.) (2020). From robotic process automation to intelligent process automation, Business Process Management: Blockchain and Robotic Process Automation Forum. Available from: https://link.springer.com/chapter/10.1007/978-3-030-58779-6_15.
Cheng, Y.-P., Li, C.-W., & Chen, Y.-C. (2019). Apply computer vision in GUI automation for industrial applications. Mathematical Biosciences and Engineering, 16(6), 7526–7545.
Conn, V. S., Valentine, J. C., Cooper, H. M., & Rantz, M. J. (2003). Grey literature in meta-analyses. Nursing Research, 52(4), 256. Available from: https://journals.lww.com/nursingresearchonline/fulltext/2003/07000/grey_literature_in_meta_analyses.8.aspx?casa_token=vj3vvb0k5hkaaaaa:wq7p9rl9d5jjvfbevoiqgv8cwrx4ly2prgz3g209gbsysy52x19v7acxvrwkcrxnxo8te3e4vw0o8yql_qx1pgexhqe5g2jo3xc_puwt
Cutura, S. (2021). How will AI take Robotic process automation to the next level? Available from: https://info.convedo.com/how-will-ai-take-robotic-process-automation-to-the-next-level (19 August 2021).
Deloitte. (2016a). The business leader’s guide to robotic process automation and intelligent automation. Automate this. Available from: https://www2.deloitte.com/za/en/pages/operations/articles/guide-to-robotic-process-automation-and-intelligent-automation.html (31 August 2021).
Deloitte. (2016b). Robotic process automation -A path to the cognitive enterprise. Available from: https://www2.deloitte.com/us/en/insights/focus/signals-for-strategists/cognitive-enterprise-robotic-process-automation.html (31 August 2021).
Ephesoft. (2018). RPA vs IPA: Intelligent Process Automation is the Next Frontier | Ephesoft. Available from: https://ephesoft.com/blog/rpa-vs-ipa-intelligent-process-automation-next-frontier/ (19 August 2021).
Epiance Software Pvt. Ltd. (2017). Intelligent, interactive, and self-learning robotic process automation system.
Ferreira, D., Rozanova, J., Dubba, K., Zhang, D., & Freitas, A. (2020). On the evaluation of intelligent process automation.
Forrester Research Inc. (2018). Predictions 2019: Artificial Intelligence. Available from: https://www.forrester.com/report/Predictions+2019+Artificial+Intelligence/-/E-RES144617 (17 April 2021).
Galer, S. (2020, June 2). Intelligent Robotic process automation is not your average top 2020 trend. Forbes. Available from: https://www.forbes.com/sites/sap/2020/02/06/intelligent-robotic-process-automation-is-not-your-average-top-2020-trend/?sh=fdbdd971cc91 (11 July 2021).
Gao, J., van Zelst, S. J., Lu, X., & van der Aalst, W. M. P. (2019). Automated robotic process automation: A self-learning approach (pp. 95–112). Springer. Available from: https://link.springer.com/chapter/10.1007/978-3-030-33246-4_6
Gartner Inc. (2021). Gartner says worldwide robotic process automation software revenue to reach nearly $2 billion in 2021. Available from: https://www.gartner.com/en/newsroom/press-releases/2020-09-21-gartner-says-worldwide-robotic-process-automation-software-revenue-to-reach-nearly-2-billion-in-2021 (28 September 2021).
Gentsch, P. (2017). Best practices. In P. Gentsch (Ed.), Künstliche Intelligenz für sales, marketing und service. Mit AI und Bots zu einem Algorithmic Business - Konzepte, Technologien und Best Practices (pp. 117–220). Springer Fachmedien Wiesbaden.
Geyer-Klingenberg, J., Nakladal, J., & Baldauf, F. (eds.) 2018). Process mining and Robotic process automation: A perfect match. Available from: https://www.researchgate.net/profile/jerome-geyer-klingeberg/publication/326466901_process_mining_and_robotic_process_automation_a_perfect_match/links/5b4f787ea6fdcc8dae2b378c/process-mining-and-robotic-process-automation-a-perfect-match.pdf.
Gotthardt, M., Koivulaakso, D., Paksoy, O., Saramo, C., Martikainen, M., & Lehner, O. (2020). Current state and challenges in the implementation of smart robotic process automation in accounting and auditing. ACRN Journal of Finance and Risk Perspectives, 9(1), 90–102. Available from: https://helda.helsinki.fi/dhanken/handle/10227/377332
Gould, R. (2018). Robotic Process Automation (RPA): Past, Present and Future. Available from: https://www.kofax.com/learn/blog/robotic-process-automation-rpa-past-present-and-future (28 August 2021).
Gupta, S., Rani, S., & Dixit, A. (2019). Recent trends in Automation-A study of RPA development tools. In 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) (pp. 159–163). IEEE.
Hennebert, J. (2009). Speaker recognition, overview. In Encyclopedia of biometrics (pp. 1262–1270). Springer. Available from: https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-73003-5_198.
Joshi, A. V. (2020). Introduction to AI and ML. In A. V. Joshi (Ed.), Machine learning and artificial intelligence (pp. 3–7). Springer International Publishing; Imprint: Springer.
Kirchmer, M., & Franz, P. (2019). Value-driven Robotic Process Automation (RPA) (pp. 31–46). Springer. Available from: https://link.springer.com/chapter/10.1007/978-3-030-24854-3_3
Kobayashi, T., Arai, K., Imai, T., Tanimoto, S., Sato, H., & Kanai, A. (2019). Communication Robot for elderly based on Robotic process automation. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), pp. 251–256.
Koch, O., & Wildner, S. (2020). Intelligent Robotic process automation. In Künstliche Intelligenz in Wirtschaft & Gesellschaft. Auswirkungen, Herausforderungen & Handlungsempfehlungen, eds. R Buchkremer, T Heupel & O Koch, Springer Fachmedien Wiesbaden; Imprint: Springer Gabler, Wiesbaden, pp. 211–230.
Lasso, G. R., & Herrera, R. J. G. (2019a). Advanced human-robot interaction for learning with robotic process automation. In 12th annual International Conference of Education, Research and Innovation, pp. 7718–7723. Available from: https://www.researchgate.net/profile/guillermo-lasso-r/publication/338107104_advanced_human-robot_interaction_for_learning_with_robotic_process_automation/links/5e1959aa299bf10bc3a351c9/advanced-human-robot-interaction-for-learning-with-robotic-process-automation.pdf.
Lasso, G. R., & Herrera, R. J.G. (2019b). Robotic process automation applied to education: A new kind of Robot Teacher? In 12th annual International Conference of Education, Research and Innovation, pp. 2531–2540. Available from: https://www.researchgate.net/profile/guillermo-lasso-r/publication/338104733_robotic_process_automation_applied_to_education_a_new_kind_of_robot_teacher/links/5e1958d392851c8364c2ec07/robotic-process-automation-applied-to-education-a-new-kind-of-robot-teacher.pdf.
Lasso-Rodriguez, G., & Winkler, K. (2020). Hyperautomation to fulfil jobs rather than executing tasks: The BPM manager robot vs human case. Revista Română de Informatică și Automatică, 30, 7–22. Available from: https://www.researchgate.net/profile/guillermo-lasso-r/publication/344454366_hyperautomation_to_fulfil_jobs_rather_than_executing_tasks_the_bpm_manager_robot_vs_human_case/links/5f7dcd1592851c14bcb4470a/hyperautomation-to-fulfil-jobs-rather-than-executing-tasks-the-bpm-manager-robot-vs-human-case.pdf
Lin, S. C., Shih, L. H., Yang, D., Lin, J. & Kung, J. F. (2018). Apply RPA (Robotic Process Automation) in Semiconductor Smart Manufacturing. 2018 e-Manufacturing & Design Collaboration Symposium (eMDC), pp. 1–3.
Ling, X., Gao, M., & Wang, D. (2020). Intelligent document processing based on RPA and machine learning. 2020 Chinese Automation Congress (CAC), pp. 1349–1553.
Martens, H. (2018, July 25). So verbindet Intelligent Process Automation RPA und Machine Learning. BigData-Insider. Available from: https://www.bigdata-insider.de/so-verbindet-intelligent-process-automation-rpa-und-machine-learning-a-725612/ (30 August 2021).
Martínez-Rojas, A., Barba, I., & Enríquez, J. G. (2020). Towards a taxonomy of cognitive RPA components. In A. Asatiani, J. M. García, N. Helander, A. Jiménez-Ramírez, A. Koschmider, J. Mendling, G. Meroni, & H. A. Reijers (Eds.), Business process management: Blockchain and robotic process automation forum (pp. 161–175). Springer International Publishing.
Martins, P., Sa, F., Morgado, F., & Cunha, C. (2020). Using machine learning for cognitive Robotic Process Automation (RPA). In 15th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6.
McKinsey. (2017). Intelligent process automation: The engine at the core of the next-generation operating model. Available from: https://www.sipotra.it/wp-content/uploads/2017/04/intelligent-process-automation-the-engine-at-the-core-of-the-next-generation-operating-model.pdf.
Mendling, J., Decker, G., Hull, R., Reijers, H. A., & Weber, I. (2018). How do machine learning, robotic process automation, and Blockchains affect the human factor in business process management? Communications of the Association for Information Systems, 297–320.
Met, İ., Kabukçu, D., Uzunoğulları, G., Soyalp, Ü., & Dakdevir, T. (2020). Transformation of business model in finance sector with artificial intelligence and robotic process automation. In Digital business strategies in Blockchain ecosystems (pp. 3–29). Springer. Available from: https://link.springer.com/chapter/10.1007/978-3-030-29739-8_1
Mohanty, S., & Vyas, S. (2018). Intelligent process automation = RPA + AI. In S. Mohanty & S. Vyas (Eds.), How to compete in the age of artificial intelligence. Implementing a collaborative human-machine strategy for your business (pp. 125–141). Apress.
Moiseeva, A. (2020). Statistical natural language processing methods for intelligent process automation. Dissertation, LMU München: Faculty for Languages and Literatures. Available from: https://edoc.ub.uni-muenchen.de/26681/.
Moiseeva, A., Trautmann, D., Heimann, M., & Schütze, H. (2020). Multipurpose intelligent process automation via conversational assistant. AAAI IPA.
Ng, K. K., Chen, C.-H., Lee, C., Jiao, J., & Yang, Z.-X. (2021). A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives. Advanced Engineering Informatics, 47, 101246.
Palanivel, K., & Joseph, K. S. (2020). Robotic process automation to smart education. IJCRT - International Journal of Creative Research Thoughts (IJCRT), 8(6), 3775–3784. Available from: https://ijcrt.org/viewfull.php?&p_id=IJCRT2006516.
Peterson, B., & George, R. (2017). How Robotic process automation and artificial intelligence will change outsourcing. Available from: https://www.mayerbrown.com/-/media/files/perspectives-events/events/2017/09/how-rpa-and-ai-will-change-outsourcing/files/presentation-slides/fileattachment/mayerbrownwebinarhowrpaandaiwillchangeoutsourcing0.pdf.
Polak, P., Nelischer, C., Guo, H., & Robertson, D. C. (2020). “Intelligent” finance and treasury management: What we can expect. AI & SOCIETY, 35(3), 715–726.
PWC. (2017). Rethinking retail: Artificial intelligence and Robotic process automation. Available from: https://www.pwc.be/en/documents/20171123-rethinking-retail-artificial-intelligence-and-robotic-process-automation.pdf (07 December 2021).
Rao, Q., & Frtunikj, J. (2018). Deep learning for self-driving cars: Chances and challenges. 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS), pp. 35–38.
Ravindranath, K. R., & Bhaskar, K. R. (2020). Review robotic process automation among artificial intelligence. International Journal of Advanced Research, 7(3), 10–14. Available from: http://ijaret.com/wp-content/themes/felicity/issues/vol7issue3/rashmi1.pdf
Reddy, K. P. N., Harichandana, U., Alekhya, T., & Rajesh, S. M. (2019). A study of robotic process automation among artificial intelligence. International Journal of Scientific and Research Publications (IJSRP), 9(2), 392–397. Available from: https://www.researchgate.net/profile/naveen-reddy-k-p-2/publication/331285237_a_study_of_robotic_process_automation_among_artificial_intelligence/links/5c7024dea6fdcc4715941111/a-study-of-robotic-process-automation-among-artificial-intelligence.pdf
Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021). Robotic process automation and artificial intelligence in industry 4.0 – A literature review. Procedia Computer Science, 181, 51–58.
Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf, (2020). A conversational digital assistant for intelligent process automation. In International Conference on Business Process Management, pp. 85–100. Available from: https://link.springer.com/chapter/10.1007/978-3-030-58779-6_6.
Rizun, N., Revina, A., & Meister, V. (2019). Method of decision-making logic discovery in the business process textual data (pp. 70–84). Springer. Available from: https://link.springer.com/chapter/10.1007/978-3-030-20485-3_6
Safar, M. (2019). Wenn der Bot selbst entscheidet. COMPUTERWOCHE 07 May. Available from: https://www.computerwoche.de/a/wenn-der-bot-selbst-entscheidet,3547298 (19 August 2021).
Santos, F., Pereira, R., & Vasconcelos, J. B. (2020). Toward robotic process automation implementation: An end-to-end perspective. Business Process Management Journal, 26(2), 405–420. Available from: https://www.emerald.com/insight/content/doi/10.1108/BPMJ-12-2018-0380/full/pdf?casa_token=_uDbY-_GCLcAAAAA:1ksAIXFtLVPVCsaCJKGwLSRyLHu2Q1lDykWyXFLY48HkWzDS-znM2gWy1NB84lRtKz74uUhVQkzIl2gi-0l0n0SSrua9vTo5E_XMz0L4h-8quAGbUw
Schöpfel, J., & Farace, D. J. (2010). Grey literature. Encyclopedia of Library and Information Sciences, 3, 2029–2039.
Silaparasetty, N. (ed.) (2020). Machine learning concepts with Python and the Jupyter Notebook Environment. Using Tensorflow 2.0, Apress; Imprint: Apress, Berkeley CA.
Slaby, J. R., & Fersht, P. (2012). Robotic automation emerges as a threat to traditional low-cost outsourcing. Available from: http://71.19.232.178/wp-content/uploads/2016/06/rs-1210_robotic-automation-emerges-as-a-threat-060516.pdf.
Sobczak, A. (2021). Robotic process automation implementation, deployment approaches and success factors – An empirical study. Entrepreneurship and Sustainability Issues, 8(4), 122–147.
Stamm, H., & Schwarb, T. M. (1995). Metaanalyse. Eine Einführung. German Journal of Human Resource Management: Zeitschrift für Personalforschung, 9(1), 5–27.
Strelkova, O. (2017). Three types of artificial intelligence. Available from: http://eztuir.ztu.edu.ua/bitstream/handle/123456789/6479/142.pdf?sequence=1&i.
Tuttle, D. (2019). The transformation of RPA to IPA: Intelligent Process Automation. Available from: https://www.cmswire.com/digital-experience/the-transformation-of-rpa-to-ipa-intelligent-process-automation/ (19 August 2021).
Vajgel, B, Correa, PLP, Tossoli De Sousa, T, Encinas Quille, RV, Bedoya, JAR, Almeida, GM de, Filgueiras, LVL, Demuner, VRS & Mollica, D 2021, ‘Development of intelligent robotic process automation: A utility case study in Brazil’, IEEE Access, vol. 9, pp. 71222–71235.
van de Weerd, I., Nieuwenhuijs, B., Bex, F. & Beerepoot, I. (2021). Using AI to augment RPA: A conceptual framework. ECIS 2021 Research Papers, vol. 129. Available from: https://aisel.aisnet.org/ecis2021_rp/129.
van der Aalst, W. M. P., Bichler, M., & Heinzl, A. (2018). Robotic process automation. Business & Information Systems Engineering, 60(4), 269–272. Available from: https://link.springer.com/article/10.1007/s12599-018-0542-4
Viehhauser, J. (2020). Is robotic process automation becoming intelligent? Early evidence of influences of artificial intelligence on robotic process automation. In Business process management: blockchain and robotic process automation forum, pp. 101–115. Available from: https://link.springer.com/chapter/10.1007/978-3-030-58779-6_7.
Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26 (2), xiii–xxiii. Available from: http://www.jstor.org/stable/4132319.
Williams, D. D., & Allen, I. L. (2017). Using artificial intelligence to optimize the value of robotic process automation. Available from: https://www.ibm.com/downloads/cas/KDKAAK29 (30 August 2021).
Yatskiv, N., Yatskiv, S., & Vasylyk, A. (2020). Method of robotic process automation in software testing using artificial intelligence. In Advanced Computer Information Technologies ACIT’2020. Conference proceedings: Deggendorf, Germany, September 16–18, 2020. IEEE.
Yoon, S. (2020). A study on the transformation of accounting based on new technologies: Evidence from Korea. Sustainability, 12(20), 8669. Available from: https://www.mdpi.com/862542
Zou, K. H., Li, J. Z., Imperato, J., Potkar, C. N., Sethi, N., Edwards, J., & Ray, A. (2020). Harnessing real-world data for regulatory use and applying innovative applications. Journal of Multidisciplinary Healthcare, 13, 671–679.
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Schaudt, L., Schlegel, D. (2023). Combining Robotic Process Automation with Artificial Intelligence: Applications, Terminology, Benefits, and Challenges. In: Bilgin, M.H., Danis, H., Demir, E., Wincenciak, L., Er, S.T. (eds) Eurasian Business and Economics Perspectives. EBES 2022. Eurasian Studies in Business and Economics, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-031-36286-6_5
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