From Zero AI Experience to Building Their Own Tools
A trucking and insurance company went from paying six figures a year for tools they couldn't control to building their own websites, CRM, and AI workflows -- in five months.
Industry
Trucking & Insurance
Location
South Florida
Companies
2 businesses
Coverage
48 States
$100K+
Saved Per Year
In cancelled software, eliminated vendors, and recovered time
5 months
To Self-Sufficient
From first AI training to building production tools independently
6+
Team Members Using AI
Across operations, marketing, sales, and leadership
2
Companies Transformed
Both Nationwide Haul and Road Ready Insurance run on AI workflows
The Problem
Derek Madon owns two companies in the trucking industry: Nationwide Haul, a semi-truck and trailer dealership with three locations across Florida and Georgia, and Road Ready Insurance, a trucking insurance agency serving 48 states.
Like a lot of growing businesses, Derek's team was held together by a stack of software that didn't quite fit. One CRM for the dealership. A different system for insurance. A marketing platform bolted on top. Two outside vendors for websites they couldn't update themselves. When something needed to change, they'd wait on a contractor or work around the tool.
The total cost was over $100,000 a year in software, vendors, and lost time -- and the tools still didn't do what the team actually needed.
How It Happened
Five months from first training session to full independence.
November 2025
The Starting Point
Derek's team had never used AI. They were managing two companies across three locations with a patchwork of paid tools and outside vendors. Website changes took days. CRM data lived in silos. Simple updates required a contractor.
Nov - Dec 2025
AI Foundations
We started with the basics -- training the team on ChatGPT for daily work, then deploying an AI chatbot on both company websites to handle customer inquiries around the clock. The team saw immediate value and wanted more.
January 2026
Going Deeper with Claude
After seeing what was possible, Derek brought OneWave in to present AI to his YPO chapter. That experience convinced him to move the entire team to Claude for its stronger reasoning and coding capabilities.
February 2026
The Team Starts Building
This is where things shifted. Team members who had never written code started using Claude Code for real work -- not just chat, but building pages, automating tasks, and solving problems they used to send to contractors.
March 2026
A New Website, Built In-House
A team member who had never coded before built an entirely new company website and deployed it to production. No outside developer. No agency. Just Claude Code and the confidence to try.
March - April 2026
Their Own CRM, Their Own Terms
The team built and deployed a custom CRM tailored to how they actually work -- replacing the off-the-shelf tools they'd been forcing into shape for years. Pipedrive was cancelled. Two vendor contracts ended.
April 2026
From Client to Builder
OneWave's role shifted from hands-on builder to advisor. Derek's team now scopes and builds their own AI tools. They call us when they want a second opinion, not when they need someone to do the work.
The Turning Point
There's a moment in every engagement where something clicks. For Derek's team, it was the YPO presentation. Derek had invited OneWave to present AI capabilities to his YPO chapter -- a room full of business owners who were curious but skeptical. What happened next surprised everyone, including Derek. He watched his peers react to what AI could actually do in real time, and something shifted. This wasn't a theoretical conversation anymore. It was a decision.
Up to that point, the team had been using AI the way most people do -- ChatGPT for drafting emails, brainstorming ideas, answering questions. Useful, but incremental. The real breakthrough came when they stopped treating AI as a chat tool and started treating it as a building tool. Claude Code changed the equation entirely. Suddenly, team members who had never written a line of code were looking at production software and thinking: I could build that.
That shift -- from consuming AI to creating with it -- was the turning point. It wasn't just about cost savings or efficiency. It was a fundamental change in what Derek's team believed they were capable of. Once that belief took hold, the speed of transformation accelerated in ways none of us fully expected. Projects that would have taken weeks with a contractor were getting scoped, built, and shipped in days by people who had never touched a codebase before.
What Changed
The team didn't just swap one tool for another. They replaced dependency with capability.
Cut
Pipedrive CRM
Replaced with custom-built CRM
Two website/graphics vendors
Team builds and deploys their own sites
GoHighLevel
Marketing handled with AI workflows
Multiple helpdesk tools
Consolidated into one AI-powered system
$100K+/year in combined costs
Built by the Team
All built with Claude Code by the team
Why It Matters
The cost savings are real, but they're not the story. The story is what happens when a team stops waiting for permission and starts building. Every tool they eliminate saves money. Every workflow they automate saves time. And every new skill makes the next project faster.
Derek's team went from calling a contractor for a text change on their website to shipping a full CRM built to their exact workflow. People who had never opened a code editor are now building internal tools and automations on their own.
That's the compounding effect of AI literacy. It doesn't just save money today -- it changes what your team is capable of tomorrow.
What We Learned
Working with Derek's team reinforced something we've seen again and again: the biggest barrier to AI adoption is not technical. It's belief. Most teams don't fail because the tools are too hard. They stall because nobody on the team has seen someone like them ship something real. The moment one person on Derek's team built and deployed a working page, the entire dynamic changed. Everyone else wanted to try. The question went from "Can we really do this?" to "What should we build next?"
There's a compounding effect that kicks in once a team starts building. Each tool they create teaches them something new. Each deployment builds confidence. And each project finishes faster than the last -- not because the AI gets smarter, but because the team does. By the time Derek's team was building their custom CRM, they already had months of accumulated knowledge from deploying chatbots, rebuilding websites, and automating workflows. The CRM wasn't a leap. It was the next logical step.
Derek's companies didn't just adopt AI -- they became an AI-first operation. The tools they use, the workflows they run, the way they think about solving problems -- all of it changed. And the most remarkable part is that OneWave's role shrank as their capability grew. We went from building for them to advising them to simply being available when they want a second opinion. That's what a real transformation looks like.
Frequently Asked Questions
Common questions about AI consulting, training, and what results look like.
How can AI consulting help trucking companies save money?
AI consulting helps trucking companies identify and eliminate redundant software, automate manual workflows, and build custom tools that fit their exact operations. In this case, Nationwide Haul and Road Ready Insurance saved over $100,000 per year by replacing off-the-shelf CRMs, marketing platforms, and outside vendors with AI-powered tools their own team built and maintains.
What kind of ROI does AI consulting deliver?
The ROI depends on the business, but the results can be significant. Nationwide Haul saw $100K+ in annual savings within five months by cancelling Pipedrive, GoHighLevel, and two vendor contracts. Beyond direct cost savings, the team gained the ability to build and ship their own internal tools -- a capability that compounds over time as they take on more projects independently.
Can non-technical teams actually learn to use AI coding tools?
Yes. At Nationwide Haul, 6+ team members across operations, marketing, sales, and leadership adopted AI tools with no prior technical background. One team member who had never written code built and deployed an entirely new company website using Claude Code. The key is structured training that starts with everyday AI use cases and gradually introduces more advanced capabilities like coding and automation.
How long does a typical AI transformation take?
Nationwide Haul went from zero AI experience to building production-grade tools independently in five months. The first two months focused on AI foundations and training. By month three, team members were using Claude Code for real development work. By month five, the team had built and deployed a custom CRM, a new company website, and multiple automation workflows -- all without outside developers.
Should a business build a custom CRM or use an off-the-shelf solution?
It depends on how well existing tools fit your workflow. Nationwide Haul spent years forcing off-the-shelf CRMs like Pipedrive into shape for their trucking and insurance operations. With AI tools like Claude Code, their team built a custom CRM tailored to exactly how they work -- handling both dealership and insurance workflows -- in a matter of weeks. The custom CRM costs nothing in monthly licensing and can be updated instantly by the team whenever their process changes.
Your Team Can Do This Too
We help businesses go from paying for tools that don't fit to building exactly what they need. It starts with a conversation.