Reality Check: Why Most AI Projects Never Leave the Pilot Phase
After working with dozens of enterprises on AI implementations, I've noticed a pattern:
❌ 70% of AI projects get stuck in "proof of concept" limbo
❌ Teams build impressive demos that never see production
❌ Compliance and governance become afterthoughts
But here's what successful AI deployments have in common:
✅ They start with production-ready frameworks from day one
✅ Compliance isn't retrofitted—it's built into the blueprint
✅ They focus on business metrics that actually matter
The difference isn't the technology—it's the approach.
We've seen this shift firsthand: companies moving from "AI experiments" to AI that powers real business decisions. The secret? Starting with proven delivery frameworks instead of reinventing the wheel.
I've been documenting some of these insights and patterns we're seeing in enterprise AI: https://www.damcogroup.com/ai
What's been your experience with AI implementation? Are you seeing more pilots or production deployments in your industry?
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