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Record STMT-W28C83FAdvisory

Governance models for robotic process automation: The case of Nordea Bank

Report Institutional policyEuropein forceNot AI-specific

This academic teaching case study examines the governance models and implementation of robotic process automation (RPA) at Nordea Bank, a large Nordic financial group. The text details how Nordea deployed software robots for various processes such as transaction processing, reporting, and GDPR-related customer interactions. It outlines organizational decision points, development and maintenance challenges, and governance archetypes relevant to enterprise-scale automation.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Aalto UniversityAcademic
Publisher
Legal forceAdvisory
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

Researchers and academicsCompaniesProfessional group

Students, researchers, and professionals studying enterprise IT governance and robotic process automation implementation strategies in the financial sector.

Sectors
Finance and insurance · banking

What the document contains

What's covered

The document covers the organizational governance structures, decision points, and operational challenges associated with deploying robotic process automation in a large banking group.

What's missing

The text does not provide formal regulatory mandates, legal binding rules, or generalized compliance checklists for AI governance.

Key takeaways
  • Nordea Bank implemented robotic process automation at scale for tasks ranging from transaction processing to GDPR query handling.
  • Enterprise RPA deployment requires clear governance models balancing software development, maintenance, and IT infrastructure.
  • The case study explores archetypal and hybrid governance structures for robotic process automation.
  • Decision points in RPA governance involve organizing responsibilities across business units and central IT operations.
Issued1 May 2021
Length376 words
FormatNot recorded
Scoperegional

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

Abstract

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

Abstract

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

Abstract

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

Abstract

screening score · 2026-10-23

Privacy

1/5

Protection of personal data and private life

General Data Protection Regulation (GDPR)-related queries

Abstract

screening score · 2026-10-23

Transparency

0/5

Openness about how AI systems work and are used

Abstract

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

Abstract

screening score · 2026-10-23

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

Abstract

screening score · 2026-10-23

Topics

robotic_process_automation governance banking lightweight_it teaching_case