Academic Journal
Integrating Generative AI Into Organizational Workflows: Evidence From Practitioner Reports.
| Τίτλος: | Integrating Generative AI Into Organizational Workflows: Evidence From Practitioner Reports. |
|---|---|
| Συγγραφείς: | Hasavari, Shirin1 (AUTHOR) shirin.hasavari@morgan.edu, Zaveri, Jigish1 (AUTHOR) |
| Πηγή: | Knowledge & Process Management. Aug2026, p1. 14p. 1 Illustration. |
| Θεματικοί όροι: | *Workflow management, *Organizational governance, *Business process management, *System integration, *Operational risk, *Generative artificial intelligence |
| Περίληψη: | ABSTRACT This study examines how organizations integrate generative artificial intelligence (GenAI) into everyday business processes and workflows, and how governance practices are emerging alongside such integration. While prior research has focused on task‐level performance effects or adoption intentions, less evidence examines how GenAI is embedded in organizational workflows and governed in practice. The study adopts an exploratory, descriptive research design based on survey data collected from 120 practitioners across organizations of varying sizes and sectors. The survey captures reported patterns of GenAI use, workflow integration, governance practices, safeguards, and outcomes, and the analysis relies on descriptive statistics and exploratory comparisons across organizational contexts. The findings indicate that GenAI use is widespread in the sample, but integration into business processes is incremental and localized rather than deeply embedded. Many organizations rely on third‐party tools and user‐driven experimentation, while deeper enterprise‐level integration and formal governance arrangements are less frequently reported. The results show uneven development between workflow‐level use, technical embedding, operational transformation, and governance formalization. Operational safeguards appear more common than enterprise‐wide governance structures. Respondents report improvements in efficiency, productivity, and decision‐making alongside concerns about privacy, security, bias, and explainability, indicating experimentation. This study provides cross‐organizational, practitioner‐reported descriptive evidence on how organizations are integrating GenAI into business processes and how governance practices are evolving alongside its use. The findings extend current empirical understanding of how organizations are reporting early GenAI use and governance in practice by moving beyond isolated tasks and adoption intentions to examine workflow‐level integration across organizations. [ABSTRACT FROM AUTHOR] |
| Copyright of Knowledge & Process Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:bsx&genre=article&issn=10924604&ISBN=&volume=&issue=&date=20260812&spage=1&pages=1-14&title=Knowledge & Process Management&atitle=Integrating%20Generative%20AI%20Into%20Organizational%20Workflows%3A%20Evidence%20From%20Practitioner%20Reports.&aulast=Hasavari%2C%20Shirin&id=DOI:10.1002/kpm.70144 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Integrating Generative AI Into Organizational Workflows: Evidence From Practitioner Reports. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hasavari%2C+Shirin%22">Hasavari, Shirin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shirin.hasavari@morgan.edu</i><br /><searchLink fieldCode="AR" term="%22Zaveri%2C+Jigish%22">Zaveri, Jigish</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Knowledge+%26+Process+Management%22">Knowledge & Process Management</searchLink>. Aug2026, p1. 14p. 1 Illustration. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Workflow+management%22">Workflow management</searchLink><br />*<searchLink fieldCode="DE" term="%22Organizational+governance%22">Organizational governance</searchLink><br />*<searchLink fieldCode="DE" term="%22Business+process+management%22">Business process management</searchLink><br />*<searchLink fieldCode="DE" term="%22System+integration%22">System integration</searchLink><br />*<searchLink fieldCode="DE" term="%22Operational+risk%22">Operational risk</searchLink><br />*<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: ABSTRACT This study examines how organizations integrate generative artificial intelligence (GenAI) into everyday business processes and workflows, and how governance practices are emerging alongside such integration. While prior research has focused on task‐level performance effects or adoption intentions, less evidence examines how GenAI is embedded in organizational workflows and governed in practice. The study adopts an exploratory, descriptive research design based on survey data collected from 120 practitioners across organizations of varying sizes and sectors. The survey captures reported patterns of GenAI use, workflow integration, governance practices, safeguards, and outcomes, and the analysis relies on descriptive statistics and exploratory comparisons across organizational contexts. The findings indicate that GenAI use is widespread in the sample, but integration into business processes is incremental and localized rather than deeply embedded. Many organizations rely on third‐party tools and user‐driven experimentation, while deeper enterprise‐level integration and formal governance arrangements are less frequently reported. The results show uneven development between workflow‐level use, technical embedding, operational transformation, and governance formalization. Operational safeguards appear more common than enterprise‐wide governance structures. Respondents report improvements in efficiency, productivity, and decision‐making alongside concerns about privacy, security, bias, and explainability, indicating experimentation. This study provides cross‐organizational, practitioner‐reported descriptive evidence on how organizations are integrating GenAI into business processes and how governance practices are evolving alongside its use. The findings extend current empirical understanding of how organizations are reporting early GenAI use and governance in practice by moving beyond isolated tasks and adoption intentions to examine workflow‐level integration across organizations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Knowledge & Process Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/kpm.70144 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Workflow management Type: general – SubjectFull: Organizational governance Type: general – SubjectFull: Business process management Type: general – SubjectFull: System integration Type: general – SubjectFull: Operational risk Type: general – SubjectFull: Generative artificial intelligence Type: general Titles: – TitleFull: Integrating Generative AI Into Organizational Workflows: Evidence From Practitioner Reports. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hasavari, Shirin – PersonEntity: Name: NameFull: Zaveri, Jigish IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10924604 Titles: – TitleFull: Knowledge & Process Management Type: main |
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