Client

Danske Bank

A Danish multinational bank and financial services corporation launched a five-year plan. The Forward ’28 strategy is embracing cloud technologies such as generative AI to become a leading digital bank.

Customers

20,000+

Countries

Customers

3 Million

Challenge

Cloud migrations of this scale typically require 5–8 years, too slow for the bank’s strategic timeline.
Highly heterogeneous systems required consistent, repeatable migration processes across dozens of teams.
Manual runbook creation was slow (3–4 weeks per application).
Dual-run periods (on-prem + cloud) were costly.
High risk of manual human error given the volume of tasks and cross-team coordination needed.
Need to upskill staff across roles to adopt cloud-first ways of working.

Solution

Conduct a Migration Automation Workshop to align 35+ teams.
Design a hyperautomation-first migration framework.
Create custom automated migration tooling and standardized runbook templates.
Shift to a data-driven migration execution model, reducing manual decision-making.
Automate orchestration ensuring consistency across diverse applications and teams.
Establishing training and certification pipelines to build long-term cloud competency.

AWS Services

Cloud Migration Factory

AWS Lambda + Step Functions

DynamoDB

Cutover integration for orchestration

Achievements

Established a scalable hyper automation platform that not only powers accelerated migration, and lays the foundation for generative AI, modernization, and continuous innovation.
The initiative demonstrates how automation, structured migration frameworks, and workforce enablement can reduce complexity in massive IT transformations.
Achieved unprecedented efficiency, cutting timelines and costs significantly while improving control, consistency, and governance.
Freed resources are redirected to innovation and customer-facing improvements.
Supported cultural transformation with cloud training embedded enterprise wide.

Results with numbers

Migration

of 16,600 servers, 60,000 containers, 25 PB data, 1,000+ workloads to AWS

90%

automation of migration activities

50%

faster migration

Runbook

creation reduced from weeks to seconds

Speed

Migration speed tripled during the migration program launch period

50%

lower dual-run costs

700

employees upskilled, building a cloud-ready workforce

Key Lessons Learned

Hyperautomation must be designed upfront, not added later

1/9

Defining automation patterns, runbooks, and orchestration early enabled speed, consistency, and scale from day one.

A global orchestrator is critical at enterprise scale

2/9

Using Cutover as the single execution layer ensured coordination across dozens of teams, reduced human error, and provided full visibility end-to-end.

Customer proximity accelerates outcomes

3/9

Embedding Cloudworkz teams onsite in the customer’s region built trust, reduced communication friction, and enabled faster decision-making.

Task-force delivery models outperform traditional staffing

4/9

A focused, high-performing Cloudworkz Task Force delivered better results than distributed, role-based resourcing models.

Standardization unlocks speed

5/9

Creating repeatable, template-driven migration runbooks allowed thousands of workloads to move consistently and safely.

Automation and governance must coexist

6/9

Automation succeeded because approval gates, auditability, and human-in-the-loop controls were built into the orchestration layer.

Cloud transformation is as much about people as platforms

7/9

Upskilling teams and embedding cloud training into daily operations was essential to sustain momentum beyond migration.

Strong partnership alignment multiplies impact

8/9

Close collaboration between Cloudworkz, AWS Professional Services, Cutover, and Danske Bank enabled shared ownership and faster execution.

Reusable automation artifacts create long-term value

9/9

The migration framework now serves as a foundation for modernization, optimization, and generative AI initiatives.

Complex technology should work reliably for the organisations that depend on it.

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