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Intelligent Process Automation: Building the bridge between Robotic Process Automation and Artificial Intelligence
KTH, School of Industrial Engineering and Management (ITM).
KTH, School of Industrial Engineering and Management (ITM).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Intelligent processautomation: : Att bygga bron mellan processautomation och artificiell intelligens (Swedish)
Abstract [en]

Process Automation has the potential to yield great benefits for companies and organizations, especially in the financial services industry where companies are information-intensive and experience rich data flows. This has mostly been done through Robotic Process Automation (RPA), but the increased maturity of Machine Learning algorithms has increased the viability of combining classic RPA with Artificial Intelligence, leading to Intelligent Process Automation (IPA). However, there is a set of challenges embedded in the transition from RPA to IPA. These challenges need to be dealt with in order to ensure that the benefits of the new technology can be harvested.

The aim of this research was to identify this set of challenges that the companies will face, as well as provide guidance to what preparations that need to be made before IPA can be implemented in full scale.

The research was conducted as a theory building case study at a large Swedish bank. An empirical study was conducted, consisting of interviews with researchers, as well as automation professionals and R&D at the case company. The findings of the empirical study and previous research on the area were combined and condensed into a guiding framework for organizations wanting to adopt IPA.

Abstract [sv]

Processautomation har potentialen att ge stora fördelar för företag och organisationer, speciellt i finansbranschen där företag är informationsintensiva och har stora dataflöden. Detta har huvudsakligen gjorts med Robotic Process Automation (RPA) men den ökade mognadsgraden av maskininlärning har snabbt förbättrat möjligheten att kombinera RPA med Artificiell Intelligens (AI) för att därmed möjliggöra Intelligent Process Automation (IPA). I övergången från RPA till IPA uppkommer däremot en del utmaningar och problem som företag måste hanteras innan potentialen med dessa nya tekniker kan förverkligas. Den här forskningen ämnar att identifiera de utmaningar som företagen kommer ställas inför samt ge vägledning för vilka förberedelser som företagen måste genomföra innan IPA kan implementeras fullskaligt i organisationen. Forskningen genomfördes som en teoribyggande fallstudie på en stor svensk bank. Den teoretiska grunden samlades in genom en omfattande litteraturstudie och en empirisk studie bestående av intervjuer med forskare samt automationsutvecklare och FoU på banken. Resultaten från litteraturstudien och empirin kombinerades och kondenserades till ett vägvisande ramverk för organisationer som vill implementera IPA.

Place, publisher, year, edition, pages
2019. , p. 83
Series
TRITA-ITM-EX ; 2019:423
Keywords [en]
RPA; Robotic Process Automation; Artificial Intelligence; intelligent automation; IPA; cognitive automation; change management; digital transformation
Keywords [sv]
RPA; robotic process automation; processautomation; automation; artificiell intelligens; intelligent automation; IPA; kognitiv automation; förändringshantering; digitalisering
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-264186OAI: oai:DiVA.org:kth-264186DiVA, id: diva2:1372242
Supervisors
Examiners
Available from: 2019-11-22 Created: 2019-11-22 Last updated: 2019-11-22Bibliographically approved

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