95% of AI Pilots Fails, so here is how you can build the other 5%

95% of AI Pilots Fails, so here is how you can build the other 5%

The hype around GenAI is reaching a fever pitch, but a stark gap has emerged between promise and performance.

At the World Economic Forum in Davos this week, the conversation shifted from "What can AI do?" to "Why isn't it delivering ROI?"

The reality? Most AI projects fail because they are treated as standalone "add-ons" rather than being natively architected into the flow of work. To move from a "cool demo" to a mission-critical platform, you need an Intelligent Choice Architecture.

When I work with clients, I try to bridge this gap by:
👉 Building agentic workflows that actually execute tasks, not just summarize them.
👉 Ensuring your AI isn't just fast, but accurate and context-aware.
👉 Creating "human-in-the-loop" systems that build confidence over time.

Let’s architect an AI-first experience that drives actual business growth in under 45 days.

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