AI for industrial tool and equipment companies. Dealers answered, orders entered, parts in stock.

At a glance

• Who it's for: owners, presidents and operations leaders of industrial tool, equipment and parts makers and distributors with $10M+ in annual revenue.
• What Modern Thesis does: AI strategy, change management, implementation and ongoing stewardship, from one team.
• How it starts: a strategic assessment that measures how the work moves today and ranks where AI pays first. See the assessment.
• Where: based in the Denver area, with an office at 11001 W 120th Ave, Ste 400, Broomfield, CO 80021. On site across the Denver metro and Colorado, and remote anywhere in the US.
• What it doesn't do: replace your ERP or dealer portal, make engineering or safety judgments, or publish a rate card. Each engagement is priced to its scope after a first conversation.

What makes AI different for an industrial tool or equipment company?

Industrial tool and equipment companies sell through dealers and distributors, to buyers who ask technical questions. Orders arrive as emails, PDFs and portal entries, each in its own format. Dealers want quick answers about specs, compatibility and availability. Warranty claims need serial numbers, photos and a decision. And the parts and accessories catalog is large, so forecasting the long tail is hard. Most of that is reading, matching and answering from your own data.

Where does AI help industrial tool and equipment companies?

These are examples of what can be built, not past results:

• Read dealer and distributor purchase orders from email and PDFs, match part numbers and prepare them for ERP entry.
• Answer dealer and customer technical questions from manuals, spec sheets and compatibility charts, with sources shown.
• Organize warranty claims: collect serial numbers, photos and failure details, and draft a recommendation for the warranty lead.
• Forecast demand for tools, accessories and replacement parts by dealer and season.
• Keep product data and spec sheets consistent across the website, dealer portal and catalogs.

How does AI help with technical support?

By answering from your own documents. Many dealer questions are already answered in a manual, spec sheet or compatibility chart that's hard to find. An assistant that searches them, shows the source and hands anything uncertain to your technical staff gives faster answers. Safety and engineering judgments stay with your people.

What does Modern Thesis do here?

Modern Thesis covers four disciplines with one team. In strategy, Jim Coleman and the team map how the work moves through your company today. In people, we work with customer service, technical support and warranty staff on training and incentives, so they use what gets built. In implementation, our AI specialists and Forward Deployed Engineers build the workflows and connect them to the software you already run. In stewardship, we stay to check accuracy, keep pace with new AI models and report the return against the baseline.

How does an engagement start?

Every engagement starts with a strategic assessment. We sit with the people who do the work, map how it moves through the company today, and measure a baseline on the workflows that matter most: order entry hours, order errors, technical question response time, warranty claim cycle time and parts fill rate. Then we rank the opportunities by return and define the first build. If AI won't pay for itself somewhere in your business, we'll tell you.

When is something else the better choice?

If your ERP or dealer portal already handles order intake and parts planning well, use it fully first. If the main need is better writing and email, the ChatGPT or Copilot licenses you already pay for may be enough; our comparison of Copilot or ChatGPT and an AI partner walks through the difference.

How Modern Thesis handles this

We put AI to work inside xFusion, the 70-person company Jim co-founded, and then for several of its clients. For an industrial tool or equipment company, we usually start with order entry and technical questions, because both repeat every day. Ongoing stewardship has no set end date, and you own your data, accounts, code and documentation throughout.