I’ll start by admitting that I was anti-AI. I felt it removed the authenticity from our work; that anything it touched would come out sounding generic and hollow or even hallucinated. If you’re reading this and feel the same way, I get it. I was there.

What changed my mind was finding a tool that didn’t replace my voice, but preserved it. It kept my tone and sharpness intact, but handled the crunching, the formatting, and the first couple of QA passes on its own. It even used my previous writings as the starting point, so the output was something I’d actually send, because it was based on the last one I sent. That was the moment I stopped seeing AI as a threat to authenticity and started seeing it as leverage.

Today, I’m the only person in our organization using AI for anything beyond a chatbot. I’m a solo adopter cutting trail through the woods who has wandered into some obscure spots and had to bushwhack my way back more than once. But the ground I’ve covered has been worth it.

The Admin Grind and the Data Unlock

The biggest immediate impact has been on admin work and repetitive actions like data entry and formatting; the tasks that eat hours without moving the business forward. But the real unlock came with data analysis.

We track shipment data across our brands including load dates, partners, origin metros, and rates for those services. Pulling insight out of that data used to mean hours of manual Excel work, maybe some Visual Basic programming, and a lot of copy-paste. With AI, I built a scheduled reporting task that generates year-over-year comparisons, trend analyses, and projected volume overlays. What used to take half a day now runs on its own.

Here’s the part that surprised me most: it’s not just the first answer that matters. Before AI, I’d finish a big data exercise and be too tired, too overwhelmed, or too buried in other work to ask the obvious follow-up question. Now the first answer comes in moments, and I still have the energy and curiosity to ask the next one, or several. AI didn’t just speed up analysis; it made me a better analyst by removing the friction that used to stop me from digging deeper.

Proposals that Don’t Start from Scratch

Proposal writing on our commercial side was the next biggest lift. We serve contract accounts that require detailed, compliant proposals for crew and equipment rates, scope of work, and site-specific considerations. Before AI, every proposal was a heavy effort, even when the structure was similar to the last one.

I used AI to draft a proposal for a major account, and it was strong enough that I then built a repeatable skill around it. It’s essentially a template engine that understands that specific account’s pricing agreement, formatting standards, and the level of detail our customers expect. Now, when a new opportunity comes in, the AI generates a draft that’s 80–90% ready, and I focus on the judgment calls: Does this scope require a third truck during that time of day due to traffic? What do I personally know about that facility’s access restrictions? That’s where industry experience earns its keep.

Marketing and Creative on the Fly

I’m not a designer or a copywriter. But I’m the person who needs a social media graphic by end of day or a one-pager for a prospect by tomorrow morning. AI made it possible to produce professional marketing collateral and iterate on it in real time.

I describe what I want in plain language, get a first draft, take a screenshot of something I’d like to adjust, and collaborate back and forth until it’s right. No design software learning curve. No waiting on a creative agency’s revision cycle. When we needed an updated slide deck for a lunch-and-learn, I produced it in an afternoon. That kind of speed changes what’s possible for a marketing team of one.

Where Human Experience Still Wins

AI hasn’t replaced judgment. It doesn’t know my customers. It doesn’t read the room on a job walk. It can’t tell that a building’s freight elevator is going to be a bottleneck just by looking at a floor plan.

The tool amplifies what you bring to it. If you don’t know what a good proposal looks like, AI will happily generate a mediocre one and you won’t know the difference. Experienced professionals who adopt AI aren’t being replaced; they’re becoming harder to compete with.

My advice is to start with the task that wastes the most of your time. Find one painful, repetitive process and see if AI can take the grunt work off your plate. You’ll still be the one making the decisions that matter. You’ll just have better information and more time to make them.