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Dynamic Process Landscape: A Strategic Guide to Successful AI Implementation
Dynamic Process Landscape: A Strategic Guide to Successful AI Implementation
Who it's for:
Companies planning to adopt AI tools

Dynamic Process Landscape: A Strategic Guide to Successful AI Implementation

Release Date: 06/02/2025

Updated On: 07/16/2025

Artificial Intelligence (AI) adoption in business and manufacturing is failing at least twice as often as it succeeds. Companies are trying to integrate AI into outdated process structures that lack transparency, adaptability, and real-time data integration. Without a clear understanding of business processes, data flow, and regulatory requirements, automation efforts lead to fragmentation, inefficiencies, and compliance risks.

This publication by the CSA AI Governance and Compliance Working Group presents the Dynamic Process Landscape (DPL) framework. The DPL aligns AI-driven automation with business strategy, compliance, and real-time adaptability. Unlike traditional rule-based process houses, the DPL provides a modular and flexible approach. This ensures that companies use AI technology where it truly adds value.

Using the DPL can transform AI from a risky experiment into a resilient, explainable, and scalable strategic asset. 

Key Takeaways:
  • How to establish process transparency. AI-driven automation is only as good as the processes it supports.
  • How to integrate data management into business processes. Without proper data governance, AI agent decisions can be unreliable, non-compliant, or even detrimental. 
  • The drawbacks of traditional process management frameworks. These frameworks present significant limitations when integrating AI-driven automation into modern, data-intensive workflows.
  • How to implement the Dynamic Process Landscape. The DPL framework allows businesses to prioritize and adapt processes dynamically based on data and operational needs, ensuring resilience in fast-changing environments. 
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Acknowledgements

Anirudh Murali
Anirudh Murali
Principal Engineer, Agentic AI Security

Anirudh Murali

Principal Engineer, Agentic AI Security

Usman Mustafa
Usman Mustafa
Director of Strategic Accounts, Orange Business

Usman Mustafa

Director of Strategic Accounts, Orange Business

CISSP | CCIE | GDSA | AI & Cybersecurity Advisor | Director, Strategic Accounts at Orange Business 

Read more

Dr. Chantal Spleiss
Dr. Chantal Spleiss

Dr. Chantal Spleiss

Balancing Innovation & Regulation in Life Sciences, Technical Sciences, and Industry

Dr. Chantal Spleiss is an AI expert and Senior Consultant in Pharma/MedTech with an emphasis on cybersecurity.

Chantal's vast experience in different fields helps her connect the dots and explore terrains beyond the beaten track. She is a practical person with a determined focus on getting things done, done right, and in a timely manner. She lov...

Read more

Arpitha Kaushik
Arpitha Kaushik
Senior Manager - Technical Risk

Arpitha Kaushik

Senior Manager - Technical Risk

Arpitha is a certified expert in governance, risk, and compliance with over 15 years of experience in protecting critical systems and data for global enterprises. Her expertise includes auditing, risk management, compliance, third-party risk assessment, project management, cloud security, and AI governance & compliance. Additionally, she is an accredited CISA trainer and volunteers in research with CSA’s Cloud Control Matrix, and AI governa...

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Michael Morgenstern Headshot Missing
Michael Morgenstern

Michael Morgenstern

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