The AI Hype vs. Reality Gap
- jrcproductions323
- 2 days ago
- 1 min read
You’ve probably seen the slide:
“We’re using AI to transform our business.”
It’s usually followed by:
Impressive architecture diagrams
Buzzwords like “genAI,” “LLMs,” and “next-gen automation”
A list of use cases with arrows pointing everywhere
But behind the scenes, I keep seeing the same problem:
AI is being plugged into critical processes without a clear map of what it can touch, influence, or break.
That’s one of the core reasons I wrote the M-CaReM-AI book, which releases on January 20, 2026 and is now available for pre-order:
In M-CaReM-AI, I focus on a simple question that cuts through the hype:
“What critical business object is this AI feature actually interacting with?”
Once you name the object—an order, a claim, a patient record, a material requirement card, a customer profile—everything changes:
You can list exactly which fields AI can read or modify
You can identify real-world risks if it behaves incorrectly
You can define explicit guardrails from your existing business rules
AI doesn’t live in the abstract. It lives wherever it touches your real data and real decisions.
👉 Over the next posts, I’ll share how M-CaReM-AI turns that idea into a repeatable playbook.
What about you: Does your AI roadmap include a clear link between use cases and specific business objects—or is it still mostly high-level?
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