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To Succeed with AI, You've Got to Nail the Basics.

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Title: To Succeed with AI, You've Got to Nail the Basics.
Authors: Redman, Thomas C.1
Source: Harvard Business Review Digital Articles. 4/6/2026, p1-11. 11p.
Subject Terms: *Business process management, *Continuous improvement process, *Statistical decision making, *Business success, *Customer relations, *Quality standards, Data collection platforms
Abstract: The article focuses on five fundamental principles companies must master to succeed with artificial intelligence (AI): customer centricity, process focus, fact-based action, continuous improvement, and recognizing that quality depends on people. It argues that many organizations mistakenly believe AI can compensate for poor data and processes, leading to subpar outcomes and dissatisfied customers. Instead, leaders should prioritize building strong data foundations, aligning metrics with business goals, fostering ongoing incremental improvements, and engaging employees to effectively integrate AI into their workflows. The article emphasizes that adopting AI is a means to an end, requiring thoughtful attention to organizational basics rather than rushing technology implementation. [Extracted from the article]
Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.)
Database: Business Source Index
FullText Text:
  Availability: 0
Header DbId: bsx
DbLabel: Business Source Index
An: 192933043
RelevancyScore: 1465
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 1465.35424804688
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: To Succeed with AI, You've Got to Nail the Basics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Redman%2C+Thomas+C%2E%22">Redman, Thomas C.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
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  Data: <searchLink fieldCode="JN" term="%22Harvard+Business+Review+Digital+Articles%22">Harvard Business Review Digital Articles</searchLink>. 4/6/2026, p1-11. 11p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Business+process+management%22">Business process management</searchLink><br />*<searchLink fieldCode="DE" term="%22Continuous+improvement+process%22">Continuous improvement process</searchLink><br />*<searchLink fieldCode="DE" term="%22Statistical+decision+making%22">Statistical decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Business+success%22">Business success</searchLink><br />*<searchLink fieldCode="DE" term="%22Customer+relations%22">Customer relations</searchLink><br />*<searchLink fieldCode="DE" term="%22Quality+standards%22">Quality standards</searchLink><br /><searchLink fieldCode="DE" term="%22Data+collection+platforms%22">Data collection platforms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article focuses on five fundamental principles companies must master to succeed with artificial intelligence (AI): customer centricity, process focus, fact-based action, continuous improvement, and recognizing that quality depends on people. It argues that many organizations mistakenly believe AI can compensate for poor data and processes, leading to subpar outcomes and dissatisfied customers. Instead, leaders should prioritize building strong data foundations, aligning metrics with business goals, fostering ongoing incremental improvements, and engaging employees to effectively integrate AI into their workflows. The article emphasizes that adopting AI is a means to an end, requiring thoughtful attention to organizational basics rather than rushing technology implementation. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Business process management
        Type: general
      – SubjectFull: Continuous improvement process
        Type: general
      – SubjectFull: Statistical decision making
        Type: general
      – SubjectFull: Business success
        Type: general
      – SubjectFull: Customer relations
        Type: general
      – SubjectFull: Quality standards
        Type: general
      – SubjectFull: Data collection platforms
        Type: general
    Titles:
      – TitleFull: To Succeed with AI, You've Got to Nail the Basics.
        Type: main
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            NameFull: Redman, Thomas C.
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            – D: 06
              M: 04
              Text: 4/6/2026
              Type: published
              Y: 2026
          Titles:
            – TitleFull: Harvard Business Review Digital Articles
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