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
- Maqsood Ahmed Shaikh
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