AI At Work With A Person In Charge

AI is here to stay. I use it every week, in marketing and in the day-to-day processes that keep a business running. But I'm not here to automate everything or hand off the parts that matter.

AI is a tool. A good one. It makes the work faster and catches things I'd miss. It doesn't replace strategy, judgment, or knowing your customers and your team.

Why This Is Different

Most AI talk lands in one of two places. Hype: automate everything, cut the team, let the tool run it. Or fear: avoid it and hope it goes away. Neither helps a business.

I come at it from the work, not the tool. I've run the SEO, the product data, the ERP rollouts, and the sales collateral by hand. I know what good looks like, so I can tell when AI gets it right and when it doesn't.

AI on top of a broken process just makes a faster broken process. The fundamentals come first. Then AI makes them faster, with a person checking what goes out.

How I Actually Use It

I don't know PHP. When a print-on-demand store needed a bulk product upload with customizations, AI helped me untagle the supplier's developers documentation, private server connection, and helped be build the build the API. Without it, that project would have needed a true developer.

When 40 blog post thumbnails needed updating, I didn't do it 40 times. [One or two lines on how AI helped. Link: How I updated blog post thumbnails without doing it 40 times]

Day to day, I mostly use it to brainstorm, make sense of messy information, and move faster on small contracts and projects.

That's where AI earns its spot: the repetitive work, the technical gaps, and the tasks that would otherwise eat the time strategy needs.

Where AI Fits In Marketing

Here's what building and managing it looks like.

Digital Marketing

Faster research, first drafts of ad copy and email, and pulling patterns out of reports. The channel strategy and the call on where budget goes stay with a person.

eCommerce SEO

Bulk product titles and descriptions, schema, and catalog cleanup across thousands of SKUs. Every output still gets checked against how customers actually search.

Local And B2B SEO

Keyword clustering, location page outlines, and translating technical part names into plain-language search terms. Industry knowledge decides what's right.

Customer Journey

Sorting through heatmaps and session recordings faster to spot where people get stuck. Deciding what to fix first is still a judgment call.

Customer Experience

Drafting sales collateral, onboarding emails, and training documentation. The input comes from sitting in sales meetings, not from a prompt.

AI Search Is Changing How You Get Found

Search behavior is changing. Customers are using AI tools like ChatGPT, Google's AI Overviews, and Perplexity to research products before they buy. These tools pull from the same signals traditional SEO is built on: well-structured content, clear answers, credible sources, and proper schema markup.

What that means for your site:

Structured data: schema markup for products, reviews, and pricing so AI tools can read and cite your pages
FAQ and comparison content: the format AI tools pull from most often
Clear, direct product and category descriptions: no filler, no keyword stuffing, accurate information
Authority signals: links, citations, and content depth that make your site worth referencing

Where It Fits In Operations

SOPs Snd Documentation

Turning how the work actually gets done into written procedures: training guides, checklists, and reference docs a team will use. AI speeds up the drafting. The steps come from the people doing the job.

Process Automation

Repetitive tasks like bulk updates, data cleanup, and report pulls can run on their own. Every automated process gets checkpoints, so nothing moves forward without a review.

Training And Change Management

New system, new process, new hire. AI helps build the training material and answer the repeat questions, so the rollout doesn't stall on one person's calendar.

Data And Systems

Product data, ERP and PIM syncing, and the spreadsheets nobody wants to touch. AI helps find errors and clean data faster. The person who knows the system still signs off.

What Bad Or No Digital Marketing Is Costing You

Traffic That Stops When The Budget Does

Paid campaigns running without an organic strategy to back them up means the moment the budget stops, the traffic stops. Every dollar spent is rented, not owned.

Marketing Channels Work Against Each Other

Paid and SEO targeting the same keywords without coordination means you are bidding against your own organic rankings. Email going out without a content strategy behind it means you are burning the list.

No Foundation Or Marketing Roadmap

Businesses that skip the strategy and jump straight to tactics end up rebuilding from scratch every time something changes. An algorithm update, a platform policy shift, a budget cut as any of it can wipe out results that were never built on anything solid.

Reports That Do Not Help Make Decisions

Traffic is up. Conversions are flat. Nobody knows why. A report full of numbers that does not tell you what to do next is not a report. It is noise.

Competitors Gaining Market Share

Bad digital marketing is not always obvious. The site still gets traffic. Campaigns still run. But a competitor who has their channels connected is compounding while you are standing still.

Time Spent On Incorrect Marketing

Content that nobody searches for. Ads pointed at the wrong audience. Social posts that get likes but no leads. The cost is not just money. It is time that could have been spent on work that moves revenue.

Where I Draw The Line

Some things should never run without a person checking them. Final decisions. Anything touching email sends to customers, banking, or medical information. Even when a process is automated, it needs governance: checkpoints, a stopping point, and someone accountable for what goes out.

AI drafts it. A person approves it.