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We right-size your stack: centralize data, integrate systems, automate ops, add AI where it pays—cut admin, and unlock opportunities.

The Foundation Problem: Why Most AI Projects Collapse 70% of AI initiatives fail before delivering real value. The reason isn't what you think. It's not about technology, talent, or budget. It's about what happens BEFORE you implement AI. I call it the Foundation Problem: • AI amplifies everything you feed it • Broken processes become MORE broken • Bad data creates WORSE outcomes • Unclear goals lead to expensive distractions The most successful organizations understand this critical truth: AI is an amplifier, not a fix. Want to avoid becoming another statistic? Focus on: 1. Auditing your data quality first 2. Streamlining processes before automation 3. Defining clear success metrics 4. Building strong governance frameworks 5. Starting small with targeted use cases Remember: The quality of your AI output will never exceed the quality of your foundation. I've created a detailed analysis of this challenge and how to overcome it last week's episode: https://lnkd.in/gRKp9Rdb What's the biggest foundation issue holding back your AI initiatives?

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