This article compares change control processes across aerospace, automotive, and medical device industries, highlighting their distinct approaches shaped by different failure modes. It emphasizes the need for cross-industry learning to adapt traditional frameworks to modern challenges, particularly in handling continuous software updates. A unified CM2 framework is proposed for enhanced governance.
This article discusses the potential negative impact of AI on the skill development of junior configuration managers in the realm of configuration management. It highlights the risks of reliance on automation, including skill degradation and reduced critical thinking. Proposed solutions include manual practice, graduated automation, and competency gates to preserve human expertise alongside AI adoption.
This article discusses challenges of AI-assisted product changes, particularly context degradation in large language models as conversations progress. It introduces scaffolding, a structured approach to maintain contextual integrity in change management. By emphasizing task decomposition and context engineering, organizations can improve AI performance and enhance governance in engineering workflows.
This article discusses the integration of AI in configuration management, highlighting the governance gaps between probabilistic AI outputs and established deterministic standards. While AI-driven tools improve efficiency and data accuracy, concerns arise about the erosion of human expertise and the need for frameworks to validate AI-generated analyses, especially in regulated industries.
This article discusses the importance of effectively communicating the value of Configuration Management (CM) systems to executives, particularly in the context of preventing costly product recalls. It highlights the financial implications of recalls in the automotive and medical device industries, advocating for CM2 principles as a strategy for risk mitigation and protecting brand value.
The article discusses the challenges of presenting Configuration Management (CM) to executive boards, emphasizing the need to shift the narrative from technical details to business outcomes such as predictable revenue, risk mitigation, and product confidence. It highlights the high costs of bad data and offers strategies to reframe CM as a strategic asset that supports leadership objectives, ultimately enabling business growth and trust.
This article discusses the role of maturity models in organizational improvement, particularly in configuration management. While they can provide structure, they often become distractions if misused. Organizations should focus on addressing specific problems instead of chasing higher maturity levels. Effective governance and senior leadership are essential for achieving genuine improvements.
In case you missed them, you can find the following How do YOU CM2? posts in the 54th edition of the Future of CM newsletter:
⏰ Just-In-Time Document Release
❌ What Prevents Us From Just-In-Time Document Release?
🦥 “Configuration Management slows us down!”
This article discusses the misconceptions surrounding Configuration Management (CM), emphasizing that poor CM practices cause delays, not CM itself. By adopting proper CM2 strategies—like early baselining, clear ownership, and standardized processes—organizations can enhance efficiency and agility in development. The piece encourages reader engagement and highlights the importance of process excellence.
The blog post discusses challenges in achieving just-in-time document release, emphasizing common issues such as lack of control over timelines, weak change authority, and informal workarounds. It outlines practical steps for improvement, advocating for defined roles, effective planning, and treating deviations as signals for process gaps, thereby enhancing configuration management.