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.
Fifteen workflows quietly costing MEP firms more than they realize. Sourced data on what each one costs and what resolution looks like, organized by project phase.
Browse the full series →The four things that separate a consultant who produces a measurable result from one who produces a slide deck, the red flags worth walking away from, and how engagement models compare.
Read articleAnthropic launched Fable 5 on June 9. A government letter suspended it on June 12. What that 72-hour window means for every business building on AI platforms.
Read articleMost 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 articleGartner says more than 40% of enterprise agentic AI projects will be canceled by the end of 2027. Here's what it actually means for your business, and the one question that tells you if you're ready to deploy.
Read articleWhat AI agents actually do, which three use cases deliver the fastest ROI, and how to deploy without committing to the wrong platform first.
Read articleReal pricing ranges for AI consulting engagements, what drives costs up or down, and how to tell whether you're getting value before you sign anything.
Read articleA practical 5-step framework for getting AI into your operation. What to do first, what to skip, and how to tell whether it's actually working.
Read articlePrior auth, clinical documentation, scheduling, billing. Four areas where small medical practices are already using AI to cut administrative time and reduce denials.
Read articleWhere AI actually delivers ROI in MEP firms, which use cases move the needle first, and how to implement without stalling the job site.
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Every MEP project begins with a Basis of Design document.
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Specifications are the legal and technical governing documents of a construction project.
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Permitting and code research are prerequisites to every MEP project, and they are among the least visible sources of non-billable time in the industry.
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Poor drawing and data organization is one of the most normalized inefficiencies in MEP and AEC firms.
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Every project a firm wins was preceded by a bid that consumed engineering hours nobody billed for.
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Vendor and subcontractor management doesn't appear on most MEP firms' lists of top inefficiencies.
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Multi-trade coordination is the workflow that separates MEP firms with clean project histories from those that general contractors stop calling.
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RFIs are the most visible symptom of project information problems.
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Submittal review is not glamorous work.
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77 percent of specialty contractors have written off change order work as bad debt.
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Field reporting is where project reality gets documented.
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Construction projects run on meetings.
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Client communication and status reporting occupy an unusual position in MEP project workflow.
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By the time a construction project reaches closeout, the work is done and the margin is set.
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As-built drawings are the permanent record of what was actually installed. Not what was designed, not what was revised, but what exists in the building.
Read articleLong-form takes Greg publishes on LinkedIn. A few highlights below. The full archive lives on the LinkedIn page, with every article plus recent posts in one place.
Three things business owners say to me almost every week when AI comes up. The second one tends to surprise people most.
Read on LinkedInMost SMB owners know they should be doing something with AI. The ones who skip the readiness step almost always pay for it later. Here's why the assessment is the cheapest investment you'll make.
Read on LinkedInAdoption rates from McKinsey, MIT Sloan, and the OECD show where AI sits in 2026. The gap between large firms and small ones is wider than most owners realize.
Read on LinkedInWhat CAD did to engineering and architecture in the 1980s is the closest historical parallel we have for what AI is doing now. The firms that adopted early didn’t just gain an edge. They redefined what was possible.
Read on LinkedInAI is following the adoption curve computers traveled decades ago. Here’s how small businesses can get ahead of it instead of scrambling to catch up.
Read on LinkedInWant every article in one place? Follow Greg on LinkedIn.
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