The Legacy Business Opportunity Most Entrepreneurs Are Missing

I’ve always admired entrepreneurs who see a huge opportunity where others see an old, boring business.

That’s exactly how I think of my friend Bill Tyndall.

Bill has already built and exited a billion-dollar company, taken a full year off to travel and reset, and voluntarily jumped back into the business world. Today, he leads Tynrose, a permanent-capital holding company focused on transforming legacy small and midsize businesses through technology, data, cybersecurity, and artificial intelligence.

But what makes Bill especially interesting to me isn’t just his track record. It’s the way he thinks. He’s not chasing the newest shiny object. Instead, he’s looking at hundreds of thousands of established businesses struggling to keep up with the innovation curve — and figuring out how to turn that problem into an opportunity.

This is an important lesson for entrepreneurs and investors alike. Below is Bill’s playbook for unlocking legacy businesses’ hidden value.

Legacy Businesses Are Sitting on Hidden Potential

Tynrose’s mission is to make digital transformation and technology more accessible to legacy small and midsize businesses.

It sounds simple until you realize how far behind many businesses are. Bill pointed out that billions of dollars are invested in technology every day, yet an overwhelming number of software products, platforms, integrations, cybersecurity tools, and AI solutions are available. Despite its increasing power, technology has also become increasingly complex.

If you run a 20-person business, figuring out what technology to buy, how to deploy it, how to connect it, and how to manage it can seem nearly impossible.

This is where Tynrose comes in. Generally, its primary operating company, Techvera, provides IT and cybersecurity services to businesses with 20 to 250 employees. The goal isn’t to be everything for everybody. The goal is to become exceptional at solving a very specific problem for a very specific customer.

That focus matters. Building companies has taught Bill that saying yes to everything doesn’t lead to a better business-it prevents scaling. As Bill puts it, you can scale a jack of all trades to a point, but once you reach meaningful scale, things fall apart.

I’ve experienced this firsthand. At the beginning of my career, I ran a single-family home maintenance company. Whenever someone asked if we did roofing, plumbing, electrical, fencing, landscaping, or pool cleaning, we said, “Yes!”

Although it sounded customer-friendly, it wasn’t. When you’re trying to master 10 different businesses simultaneously, you can’t consistently deliver an exceptional experience. In contrast, Bill’s approach is to narrow the scope, become world-class in that scope, and build systematically beneath the holding company.

Data Is Where the Real Opportunity Starts

Bill’s strategy is to unleash data once a business’s technology infrastructure is in place.

Many businesses sit on a lot of data, but having data and using it are two completely different things. Bill gave a great example from his own operations. Using Power BI, Tynrose’s team could examine profitability by client, technician, and individual service ticket.

Having that level of visibility revealed something incredibly simple: work wasn’t always being assigned to the best person. Tickets were often routed to the first technician available.

On paper, that sounds efficient, but it actually burned capital. Instead of sending the financial modeling project to the CFO, imagine sending it to the first person available. When the wrong person tries to solve the problem, you might save five minutes before the work begins. Tynrose discovered that technicians spent significant time researching solutions to problems someone else on the team could have resolved quickly.

This lesson goes far beyond IT. Data reveals operational friction you didn’t even know existed. Tynrose spent roughly seven minutes routing each ticket. That’s over 1,100 hours burned before anyone actually solved a customer’s problem with about 10,000 tickets per month.

That’s why I love Bill’s philosophy: don’t automate just because you can. By asking four basic questions, you can determine where real economic opportunity lies:

1. What’s the core problem?
2. What’s the practical solution?
3. What does it cost to implement?
4. What’s the actual ROI?

This is how technology becomes a high-return investment, not an ongoing expense.

Fix the Foundation Before Adding AI

Anyone who buys or builds a business must learn a crucial lesson: you cannot skip steps.

A company Bill told me about had tried multiple times to implement sophisticated business intelligence. They had spent hundreds of thousands of dollars on the project, but it failed repeatedly. Why? The business had multiple independent SharePoint environments with completely inconsistent data structures. On top of messy, unstable infrastructure, they were trying to build advanced analytics.

If the underlying data is inaccurate, incomplete, or inconsistent, you can spend a million dollars on cutting-edge software, but it won’t fix it. Bill refers to his framework as “respecting the phase”:

• Phase 1: Stabilize the environment. Lock down basic infrastructure and security.
• Phase 2: Establish data hygiene. Standardize how you collect and store information.
• Phase 3: Create insights. Clean data can be used to reveal margins and operational capacity.
• Phase 4: Automate and innovate. On top of a solid foundation, deploy AI and advanced tools.

That sequencing is paramount. When companies skip Phases 1 and 2 to jump straight to Phase 4, they waste hundreds of thousands of dollars.

The AI Opportunity Is in “Boring” Businesses

Bill’s thesis is especially exciting for lifestyle investors. Most people are trying to find the next flashy tech unicorn, but some of the biggest returns come from businesses that existed before the Internet.

Think of accounting firms, law firms, plumbing companies, IT providers, manufacturing plants, and trade services. These businesses don’t need to invent AI; they just need to adopt it.

Imagine buying a traditional service business with a 23% gross margin. Using AI to boost capacity and modernize operations, you can improve that margin to 30% or 35% without a huge revenue increase. By fundamentally rewriting the asset’s financial profile, you change its value.

That is a positive disruption of AI in legacy businesses. It’s not about finding the next OpenAI; it’s about finding an existing cash-flowing business that hasn’t benefited from productivity gains.

Meanwhile, Bill is refreshingly realistic about what AI can and cannot accomplish. It’s not a magic wand. Although AI will improve mediocre businesses, it won’t fix fundamentally broken economics, poor leadership, or bad customer experiences. For human talent, AI multiplies capacity.

Build Something That Outlasts You

Bill could have easily walked away permanently after a massive exit. During his year off, he traveled the world, explored wine regions, and invested in his personal growth. However, builders will always build, as he told me.

Today, he’s driven not just by the thrill of closing deals, but by building a lasting legacy. Bill is moving away from “fireworks” — businesses that scale quickly, sell within five years, and disappear. Instead, Tynrose is structured around permanent capital. As an employer, he wants to create an environment in which employees can stay for 15 years, buy their first homes, send their children to college, and build exceptional lives for themselves and their families.

The goal of lifestyle investing isn’t just to earn enough passive income to retire. In other words, it’s about creating the freedom to choose what is worth pursuing.

It may not be a Silicon Valley startup that offers the next great investment opportunity. It could be the 30-year-old business around the corner that still uses fragmented data and manual processes. And Bill Tyndall provides the blueprint for investors and entrepreneurs who wish to modernize those businesses.

Key Takeaways

• Massive opportunity lives in “boring” legacy businesses. Small and mid-sized companies that lag on technology and operational efficiency offer significant value rather than chasing risky, unproven tech startups.
• Narrow your scope to achieve real scale. Trying to be a “jack of all trades” leads to operational chaos and limits scaling. To achieve sustainable growth, you must become a world-class problem solver for a specific target audience.
• Data hygiene exposes hidden capacity and profit. Almost every business has mountains of unused data. Using this data to structure and analyze operations reveals inefficiencies and labor misallocations that consume thousands of productive hours.
• Respect the phased sequence before deploying advanced tools. Chaos cannot be automated. Establish clean, consistent data hygiene before investing in artificial intelligence or advanced business intelligence.
• AI is a capacity multiplier, not a fix for bad business. AI cannot fix broken unit economics, a poor leadership style, or a poor customer service experience. An already successful company can significantly improve its economics by expanding human capacity and boosting gross margins.
• Prioritize practical ROI over automation for its own sake. Don’t implement new software just because it’s trendy. Technology investments should pass a four-step test: identify the core problem, determine the solution, calculate the implementation cost, and ensure a clear, measurable return on investment.
• Focus on permanent capital over “firework companies.” Lifestyle investing is about building things that endure. By investing in permanent-capital holding companies, you create long-term stability, build a genuine legacy, and regain full control over your time.

Featured Image Credit: Ketut Subiyanto; Pexels: Thank you!