AI Driven Enterprise Transformation

This white paper introduces a practical framework for integrating artificial intelligence (AI) into enterprise operations. It guides organizations in classifying decisions for automation, building robust data infrastructure, managing operational and regulatory risks, and ensuring effective human oversight. Real-world case studies from JPMorgan Chase, Siemens, Klarna, and HSBC illustrate both the benefits and challenges of AI adoption. The paper concludes with a four-phase roadmap: decision audit, data architecture enhancement, piloting low-risk automation, and scaling with human-in-the-loop governance.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-26
DOI
https://doi.org/10.5281/zenodo.22108382
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Driven Enterprise Transformation

Maqsood Ahmed Shaikh
Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

AI Driven Enterprise Transformation

Maqsood Ahmed Shaikh
article en

Abstract

This white paper introduces a practical framework for integrating artificial intelligence (AI) into enterprise operations. It guides organizations in classifying decisions for automation, building robust data infrastructure, managing operational and regulatory risks, and ensuring effective human oversight. Real-world case studies from JPMorgan Chase, Siemens, Klarna, and HSBC illustrate both the benefits and challenges of AI adoption. The paper concludes with a four-phase roadmap: decision audit, data architecture enhancement, piloting low-risk automation, and scaling with human-in-the-loop governance.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Robotic Process Automation Applications
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AI Driven Enterprise Transformation — Maqsood Ahmed Shaikh · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS