Why do AI projects fail so often? Most AI projects fail because the business buys a tool before it fixes the workflow the tool is meant to sit inside. Research from RAND Corporation puts the failure rate of AI initiatives at more than 80 percent, roughly double the failure rate of traditional IT projects. A
Why 90% of AI Projects Fail (And How to Avoid It) Read More »
Loop engineering AI means designing your business workflows so that every interaction, a customer query, a staff correction, a piece of new data, feeds back into the system and makes the next cycle better. Not by accident, and not once a quarter when someone remembers to review the numbers. Deliberately, and continuously. Most businesses buy
AI Loop Engineering: The Next Competitive Advantage Read More »
The short answer: an AI tool is a single piece of software that does one job when a person remembers to use it. An AI system is a designed set of workflows, data, automation, and human checkpoints that keeps working whether anyone remembers or not. Most Australian SMEs that feel disappointed by AI didn’t get
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