AI Makes Mistakes; Process Design Matters More
The article discusses the importance of process design in the effective use of AI in business. It highlights that while AI can handle ambiguity and improve workflows, it also introduces risks due to its probabilistic nature. Organizations must focus on redesigning processes to incorporate AI while maintaining control and oversight to mitigate potential errors.
- ▪88% of organizations reported using AI in at least one business function in 2025.
- ▪Documented AI incidents rose from 233 in 2024 to 362 in 2025.
- ▪The NIST's Generative AI Profile emphasizes the need for additional human review and management oversight.
Opening excerpt (first ~120 words) tap to expand
AI Makes Mistakes. That Means Process Design Matters More Than Ever.Mary Olowu6 min read·Just now--ListenShareWhy the companies that get real value from AI will not be the ones with the cleverest prompts, but the ones with the strongest workflows, controls, and execution discipline.Press enter or click to view image in full sizeFor years, business software sold a simple promise:take messy human work, turn it into a repeatable workflow, and reduce avoidable errors.That promise was never perfect, but the operating model was clear. Humans introduced variation. Software enforced sequence, validation, approvals, and audit trails.Generative AI changes that model.It is excellent at handling ambiguity.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Medium.