Let’s be honest:
Most “AI strategies” are just PR campaigns with better slide decks.
The demos? Great.
The results? Non-existent.
Why?
Because chasing hype is easier than fixing real problems.
Here’s how you know your AI playbook is broken:
1. You bought the tool before identifying the need.
You got excited.
You bought the shiny new GenAI product.
Now your team’s asking:
“What are we supposed to do with this?”
Wrong sequence.
The best companies do this instead:
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Map the friction
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Score the use case
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Then deploy the tech
Otherwise?
You’re just automating noise.
2. You’re optimizing for optics, not outcomes.
A chatbot on your homepage doesn’t mean you’re AI-ready.
It just means your designer is.
Here’s what smart orgs are tracking:
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Hours saved
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Tasks eliminated
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Throughput doubled
If there’s no bottom-line impact, it’s theatre.
And theatre doesn’t scale.
3. You’re benchmarking against the wrong things.
Don’t ask: “Who has the best AI tools?”
Ask: “Who’s doing less work for more results?”
That’s the real metric.
Because the point isn’t to use AI.
It’s to win with AI.
4. Your workflows are broken — but you added AI anyway.
GenAI is not a magic wand.
It’s a magnifying glass.
If your process is inefficient, AI will just help you fail faster.
Stop automating dysfunction.
Start fixing the system.
5. No one is accountable. Everyone is “involved.”
Everyone’s at the AI meeting.
No one owns the outcome.
This is how innovation dies in large companies:
A lot of excitement. Zero responsibility.
Execution isn’t a department.
It’s a decision.
The Fix?
Start with friction.
Build around tasks.
Measure actual lift.
Assign one owner.
Kill what doesn’t work.
Simple. Not easy.
You don’t need more GenAI tools.
You need better GenAI execution.