The secret to unlocking adaptive banking (and why institutions need to)

To thrive in a commercial, technological and regulatory environment that is in constant flux, banks must be able to react at the speed of change. This paper argues that building an adaptive operational model depends on Process Intelligence (PI). Traditional, slow-moving approaches for business transformation are no longer sufficient in today’s volatile market. Four primary forces of change are reshaping the banking industry: the explosion of artificial intelligence (AI), rising customer expectations, the need for smarter operations as well as evolving risks and regulations. Adaptability empowers businesses to overcome these challenges and turn change into commercial advantage. The paper gives readers a solid understanding of what it means to be an ‘adaptive bank’ and how a process-centric operational model is the foundation for this agility. It introduces PI as the enabling technology for this transformation and explains how PI provides a ‘digital twin’ of a bank’s operations, offering real-time visibility into workflows and breaking down operational silos. Ultimately, the readers will learn how PI can be used to address each of the four major industry challenges directly, from fuelling AI with accurate data and context to enhancing customer experiences and ensuring compliance with shifting regulations. It concludes that becoming adaptive is a continuous process that delivers benefits far beyond operational agility, positioning banks to be ready for whatever the future holds. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Authors

Publication Details

Journal
Journal of digital banking.
Published
2026-03-01
DOI
https://doi.org/10.69554/appg2387
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The secret to unlocking adaptive banking (and why institutions need to)

Chris Johnston
Journal of digital banking.
Big Data and Business Intelligence
article

The secret to unlocking adaptive banking (and why institutions need to)

Chris Johnston
article en

Abstract

To thrive in a commercial, technological and regulatory environment that is in constant flux, banks must be able to react at the speed of change. This paper argues that building an adaptive operational model depends on Process Intelligence (PI). Traditional, slow-moving approaches for business transformation are no longer sufficient in today’s volatile market. Four primary forces of change are reshaping the banking industry: the explosion of artificial intelligence (AI), rising customer expectations, the need for smarter operations as well as evolving risks and regulations. Adaptability empowers businesses to overcome these challenges and turn change into commercial advantage. The paper gives readers a solid understanding of what it means to be an ‘adaptive bank’ and how a process-centric operational model is the foundation for this agility. It introduces PI as the enabling technology for this transformation and explains how PI provides a ‘digital twin’ of a bank’s operations, offering real-time visibility into workflows and breaking down operational silos. Ultimately, the readers will learn how PI can be used to address each of the four major industry challenges directly, from fuelling AI with accurate data and context to enhancing customer experiences and ensuring compliance with shifting regulations. It concludes that becoming adaptive is a continuous process that delivers benefits far beyond operational agility, positioning banks to be ready for whatever the future holds. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of digital banking.Vol. 10(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Big Data and Business Intelligence
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The secret to unlocking adaptive banking (and why institutions need to) — Chris Johnston · Journal of digital banking. (2026) | TGRS Research Map | TGRS