Why Most AI Deployments Fail (and How to Avoid It)
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Parker Avery Insights

RETAIL & CPG ADVISOR

October 2, 2025

Hello, friend.

Most AI deployments fail not because the technology isn’t powerful, but because it’s treated as an end in itself rather than a means to achieve business-specific outcomes.

 

Generative and Agentic AI can reshape productivity and decision-making at a scale few other investments can match. But the organizations seeing real results aren’t chasing raw capability. They’re using AI to augment their people first, capturing near-term productivity gains and preserving institutional knowledge, thereby paving the way for automation to emerge naturally over time.

 

In my latest LinkedIn article, "Climbing the AI Sophistication Curve," I shared:

  • Why chasing “perfect automation” undermines progress

  • How incremental augmentation drives measurable productivity gains

  • A four-level roadmap for building sophistication in AI-enabled decision support

  • What AI-enabled collaboration with suppliers and customers will look like next

If you’re looking for a pragmatic approach to AI that creates value today while building the foundation for tomorrow,  you’ll want to read this.

 

All the best,

Sam Iosevich

Chief Analytics Officer

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