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AI & Automation3 min read27 June 2026

Practical Considerations for in Workflows

A closer look at the practical implications of AI in workflow automation, including potential benefits and limitations.

The Signal

Recent articles have highlighted the growing interest in AI-driven automation, with many businesses exploring its potential to enhance workflows. However, it's essential to separate hype from reality and focus on the practical aspects of implementing AI in workflows.

Why It Matters

The key to successful AI implementation lies in understanding its role as a tool for access, rather than just automation. This mindset shift can help businesses identify areas where AI can augment employee workflows, leading to increased productivity and efficiency.

Where It Gets Practical

For small and mid-sized manufacturers, AI and automation features in ERP systems can be particularly beneficial. These features can help streamline processes, reduce manual errors, and provide valuable insights for informed decision-making.

The Constraint

Despite the potential benefits, there are constraints to consider. Cybersecurity professionals, for instance, have expressed concerns about the limitations of fully automated AI testing. Moreover, the failure of Ford's AI-powered quality control initiative serves as a reminder that AI is not a replacement for human expertise.

What I Would Try First

Given the current landscape, I would recommend starting with a thorough assessment of existing workflows to identify areas where AI can provide the most value. This involves evaluating tasks that are repetitive, prone to errors, or require significant manual effort. By focusing on these areas, businesses can begin to explore AI-driven solutions that complement human capabilities, rather than trying to replace them.

Sources

Citation

Artenis Alija. "Practical Considerations for Implementing AI in Workflows." 2026. https://artenisalija.com/blog/ai-workflow-implementation/

https://artenisalija.com/blog/ai-workflow-implementation/

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