An AI consultant in Akron who builds what he plans

Akron earned the name Rubber Capital of the World when Goodyear, Firestone, General Tire, and B.F. Goodrich all ran their headquarters from the city. Hundreds of companies in Akron trace back to that history. Most of them now work in polymers and plastics, in what people call Polymer Valley, with research tied to the University of Akron's polymer science program.

That history leaves Akron with a lot of businesses that run on specs, test reports, and quotes with tight tolerances. A polymer shop reads a customer drawing, checks it against a spec sheet, and sends back a number, often by hand, often after hours. AI reads those same documents fast and drafts the first pass of the quote. Your estimator spends their time checking the math instead of typing it out.

The same pattern shows up at distributors and parts makers across Akron, Cuyahoga Falls, and Barberton. Orders for one account come in by email, through a portal, and over the phone. AI can pull all three into one place and draft the update, so nothing sits for two days while someone catches up.

The Tech Audit runs two weeks. I sit with your team and watch where the hours actually go: who answers quotes, who chases paperwork, who writes the weekly report by hand. Then I rank the AI ideas by how fast each one pays for itself, with real numbers next to each one.

For a plastics or rubber shop, that usually means quote turnaround and follow-up emails. For a distributor, it's usually order status and inventory reports. For a healthcare or service office, it's appointment reminders, intake forms, and the same questions a front desk answers twenty times a day. Every business in Akron has its own version of that list, and the audit finds yours.

You walk away with a ranked list of AI wins and a one-year roadmap your team can follow.

I integrate AI into your email, your customer list, your spreadsheets, and your website, so nobody has to learn a new system. Two AI technologies do most of the work. Machine learning spots patterns in your data, like which quotes tend to close. Generative AI drafts the emails, reports, and follow-ups that a person reads before they go out. Some of it runs as AI agents that watch an inbox and draft a reply before anyone opens the message.

The workflow matters more than the AI model behind it. A tool that writes a great email still eats time if someone has to copy it into three places by hand. So I connect the AI to your CRM, your inbox, and your reports, and the work moves through the business systems you already have.

Take invoice follow-ups. Today someone checks who's late, writes each email, and logs it in the CRM. With AI automation, the late list builds itself each morning, the emails come out drafted, and your office manager reads them, hits send, and moves on. The data entry happens on its own.

Picture a typical AI consulting company. It hands you a report, and you spend weeks finding someone else to build what it recommends. I plan and build in the same engagement, end to end, so the real work starts in the weeks right after the audit.

I also use AI in my own business every day, for reports that write themselves and outreach drafts I edit before they go out. When I suggest an AI tool for your shop, I've already lived with something like it.