Articles, real-world analysis, and LinkedIn content on AI implementation for businesses that want results, not another buzzword.
Long-form takes on what AI integration actually looks like when you strip out the marketing.
Most small businesses struggling with AI aren't failing because of the tools they chose. They're failing because of three things that have almost nothing to do with AI itself.
Read ArticleAI is following the same adoption curve that computers did decades ago. Here's how to get ahead of that curve rather than scramble to catch up.
Read ArticleA practical primer for MEP and AEC firms looking to get value out of AI without overhauling how their teams work.
Shorter takes, real-world examples, and the kind of content that doesn't fit in a 2,000-word article.
Most SMBs that struggle with AI aren't failing because they chose the wrong tool. They start with the tool and ask their team to find a use for it. That's backwards. Start with the problem — the tool follows from there.
Read on LinkedInThe 2025 MEP Giants report showed something clear: the firms growing fastest aren't the ones with the most headcount — they're the ones with the best systems. Henderson Engineers and Pond & Company didn't climb the rankings by hiring. They built smarter operations.
Read on LinkedInAI rollouts that fail tend to look the same: five initiatives, three departments, two vendors, and a leadership team that's already moved on before anything is working. The ones that stick start with one workflow, one team, and one clear definition of what "working" looks like.
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