Des robots et des hommes: l’Allianz parfaite !

Olfa Chourabi (olfa.chourabi@imt-bs.eu), Mondher Feki (mondher.feki@universite-paris-saclay.fr), Aurélie Dudézert (aurelie.dudezert@imt-bs.eu) and Imed Boughzala (imed.boughzala@imt-bs.eu)
Additional contact information
Olfa Chourabi: IMT-BS - TIM - Département Technologies, Information & Management - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Mondher Feki: RITM - Réseaux Innovation Territoires et Mondialisation - Université Paris-Saclay
Aurélie Dudézert: IMT-BS - TIM - Département Technologies, Information & Management - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Imed Boughzala: IMT-BS - TIM - Département Technologies, Information & Management - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: Given the development of Robotic Process Automation (RPA) solutions based on Artificial Intelligence, the current objective of Allianz France's Flow Department is to improve the automatic recognition of its incoming documentary flows. Their aim is to answer the following question: how to evaluate the benefits of these emerging technologies by taking into account its specific context and their implementation challenges? This case study leads to analyze the challenges and opportunities of the RPA's technological evolutions and to propose ways to improve the document process management.

Keywords: Robotic Process Automation (RPA); Artificial Intelligence (AI); Machine Learning; Document flow management; Insurance industry; Intelligence Artificielle (IA); Apprentissage automatique; Gestion des flux documentaires; Secteur de l’assurance (search for similar items in EconPapers)
Date: 2022-10-12
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Published in Recherche et Cas en Sciences de Gestion, 2022, Technologies émergentes et digitalisation des organisations, 22, pp.91-104. ⟨10.3917/rcsg.022.0091⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03844969

DOI: 10.3917/rcsg.022.0091

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