AI in the Enterprise: The Hard Lessons to Doing It Right
AI is transforming how we live and work, but too many organizations are still getting it wrong. I'm not placing blame or throwing shade. I'm just calling it like I see it. And, as an "AI-guy" myself, I sincerely want to see companies succeed with their AI initiatives.
So, after years of building enterprise AI systems and learning lessons the hard way, I wrote the book I wish I had when I started.
That book is called "AI in the Enterprise: The Hard Lessons to Doing It Right" and it's now available on Amazon.
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Shadow AI Is The New Shadow IT
Let me be real with you for a second. There have been a couple of shifts in AI for business that people aren't talking about.
When ChatGPT, Gemini, Grok, and even platforms like my own Symbient.ai hit the scene, every business wanted to "add AI" to something. Boardrooms were buzzing. Budgets were allocated. And then... a lot of those initiatives quietly fizzled out with nothing measurable to show for it.
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AI Doesn't Fail - Bad Framing Does
I see companies throwing millions at AI and getting nothing back.
Not because the tech doesn't work. But because they're treating it like an IT project instead of a business strategy.
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A Signal in the Noise
Finally getting around to my first post of 2026.
Not because I've been slacking - I've actually been pretty buried. One of the reasons? I just published my ninth book (third fiction, if you're counting).
It's called "A Signal in the Noise", and it's a techno-thriller about a self-taught programmer who builds noise-cancellation software that... well, let's just say it crosses some lines. Think mind control, AI, and a lot of "what if?" moments that'll keep you turning pages.
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Hire Great People and Get Out of Their Way - Is Bad Leadership Advice
I've heard it a thousand times:
"Hire the best people and get out of their way."
Sounds empowering, right?
Here's the problem: it's often just an excuse for leadership avoidance.
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Stop Chasing AI Tools and Start Fixing Your Data Plumbing
Your AI is only as smart as the data you feed it — and most companies are starving it.
Everyone's hunting for the next big AI tool. The smarter model. The faster LLM. The automation platform that promises to change everything.
But here's what nobody wants to hear: your shiny new AI isn't going to save you if your data is a mess.
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You Can’t Have an AI Strategy Without a Business Strategy
I know — not the sexy AI take you were hoping for.
But here's what I keep seeing: companies racing to "leverage AI" without actually knowing what they're racing toward.
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AI ROI is Real – But Not Where Most Leaders Expect It
Here's what nobody tells you about AI in business:
The companies winning with it didn't find one big use case. They found 100 tiny ones.
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AI is the New Gold Rush – But Most People Are Still Digging in the Wrong Place
Everyone's racing toward AI right now. And I get it – the promise is real.
But here's what I'm seeing: most companies are asking the wrong question.
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Everyone Wants AI—But Nobody Can Explain What They Actually Need
Yesterday while getting my oil changed, a guy saw "Lucus Labs" on my hat & jacket, and asked what we do. I told him we build AI, cybersecurity, and integration software for SMBs and enterprises.
His response? "Could you join my company's board to help with AI?"
Plot twist: He doesn't have a company. But he's convinced when he starts one, he'll need AI because "it's the future."
Before I could even respond, another guy chimes in. He wants me to join his company's board too—even though he's not on it and has no decision-making authority. He just knows they've been "talking about AI for years" and testing random tools that never actually do anything useful.
Two strangers. Two completely different situations. Same problem.
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