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.

Everyone knows they "need" AI. Almost nobody knows what problem they're trying to solve.

And look—I get it. The hype is real. AI is everywhere. But there's a massive gap between playing with ChatGPT and building something that actually moves your business forward.

For companies like Lucus Labs, this creates opportunity. But it also means we're often walking into situations where teams have already tried (and failed) a few times. Confidence is shaken. Budgets are scrutinized. And the question shifts from "Do we need AI?" to "Can AI actually work for us?"

So I'm genuinely curious—what's been your experience?

Have you rolled out AI internally? Hired a vendor? Tested a tool that flopped? Or found something that genuinely moves the needle for your business?

I want to hear the real stories—the wins, the disasters, and everything in between.

Drop a comment. Repost if this resonates. Or shoot me a message if you want to talk through what's actually possible (without the hype).

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