Finance
A former stockbroker explains how real estate became his 10-year path to financial freedom after falling behind on retirement savings
- Brannon Potts shifted to real estate investing to achieve financial freedom in his 50s.
- He does ‘build-to-rent’ projects in Fort Worth, Texas, and has scaled up to 10 doors.
- Once he gets to 20 doors, he expects to have enough cash flow to retire early.
After years of working in banking and finance, Brannon Potts found himself behind on long-term savings.
“I was in my 40s and I hadn’t really gotten, in earnest, to saving for retirement,” he told Business Insider. “And I knew that the power of time was now a liability for me.”
Potts, 53, began his career as a stockbroker before transitioning to commercial lending. In 2006, his dad asked him to join the family business and take on the role of CFO, which he did until the business sold in 2010.
At that point, “the market was rough and I was trying to decide what I was going to do,” said Potts. It occurred to him that a pivot to real estate could be a smart career move — and help him hit a lofty financial goal: achieving financial freedom in his 50s.
When he was working on loan products for a bank earlier in his career, “I got to sit down with some people that were multimillionaires,” he said. “I would ask them, ‘How did you make your money?’ And what I found was most of them either made their money in real estate or kept their money in a lot of real estate.”
Rather than jumping straight into the investment side of real estate, he decided to learn as much about the industry by first working in sales and, eventually, starting a property management company.
“I knew I wanted to eventually own properties,” said Potts. “Why not stay in the same industry and have a company that manages my properties for me and manages properties for others?”
By 2020, with about a decade of industry experience under his belt, Potts felt prepared to invest in his first property.
The investment strategy that’s catapulting him to financial freedom: Build-to-rent
Rather than search his market, Fort Worth, Texas, for deals, Potts decided to build his own rental properties. He grew up in a home built by his parents and followed in their footsteps, constructing each of the homes that he and his wife Mindy have resided in.
“I noticed a pattern when I was building my houses: Every time we built, it had equity over and above the cost of the build,” he said. “I’m like, well, then why don’t I do it with rentals?”
Courtesy of Brannon Potts
He started two “build-to-rent” projects simultaneously in 2020: a beach house in Port Aransas that he and Mindy converted into a short-term rental and a fourplex that they filled with long-term tenants. Both projects wrapped in 2021.
Over the next couple of years, the couple expanded to 10 doors. As of March 2025, they have two more under construction and expect to have a total of 12 completed doors by mid-2025. They’re all long-term rentals except the beach house. BI viewed owner statements to verify his property ownership.
The short-term rental is “just about break even,” he said. “So, in a sense, the cash flow is paying the mortgage down. And, it’s appreciated. It’s doubled in value.”
Cash flow wasn’t the primary objective of this project, he added: “It came down to, we wanted to have a beach house, and really the only way we could do it was if we made it a rental and stayed in it a couple of weeks a year.”
The long-term rentals have each produced positive cash flow from the get-go — “I wouldn’t do them unless they did,” he said — and, as of 2025, are profiting, on average, $330 a month per door. That’s about $40,000 a year of relatively passive income, as his properties are new builds and don’t require much maintenance or attention.
He doesn’t think he’d get close to those numbers if he bought pre-existing properties: “The resale market is a little bit harder to pencil out and work financially.” Plus, he’ll be able to pass on newer properties to his family. “If I’m building brand new and I’m leaving that legacy for the family, by the time I’m gone, these properties are only 25 to 30 years old. They’re still in great condition, versus 70- or 80-year-old properties, so that’s another factor. This is a long-term plan for my heirs.”
Investing in real estate vs. the stock market
For Potts, who set a lofty goal and was working with a relatively tight timeline, investing in real estate rather than the stock market made more sense.
“I had a goal to get to financial freedom in my 50s, and I knew I couldn’t do it any other way but through real estate,” he said. “If you do this well, it’ll take about 10 years. You can get to financial freedom much quicker versus using a 401(k), which is 30-plus years.”
Courtest of Brannon Potts
He’s also seeing much higher returns than he would if his money was in a fund tracking the S&P 500, for example.
“I was wanting at least 10% cash-on-cash return,” he said. Once he finishes doors 11 and 12, “my average cash-on-cash return is 27%.”
He expects to hit financial independence and have the option to retire — he still runs his property management company — once he gets to 20 doors, which he plans to do in the next five years.
“It’s a much quicker path,” he said. “Plus, the asset produces cash flow to pay the bills so you don’t have to sell the thing that you own as equity to pay the bills — it’s producing the cash flow, versus, with stocks and bonds and a 401(k), you’re going to have to sell the stock to create the cash. And, the cash flow is usually tax-free. The IRS tax code is written for owning rental properties.”
Once he retires, Potts envisions himself spending more time at the beach and with his kids while growing his YouTube channel, Build2Rent Investing and Financial Talk, and helping others use real estate investing as a wealth-building tool. Part of the reason he fell behind on retirement savings in the first place was a lack of financial literacy, he said: “I just got it together probably in my 40s, and I feel like I really got it together well, but we didn’t do well because we weren’t taught.”
He’s learned the importance of holding his money “accountable,” he said. “That’s what people that reach financial freedom do. If you treat your money well, it’ll come back with friends. If you treat your money poorly, it’ll leave and go to somebody else who treats it better. So, I want to treat my money well. I want to hold it accountable to making good returns.”
For a company navigating one of the most consequential transformations in its history, financial clarity is not optional—it is essential. Natura &Co, the Brazilian personal care and cosmetics group behind iconic brands such as Natura and Avon, has long been committed to combining purpose-driven business with commercial performance. After a period of strategic portfolio reshaping, including the divestiture of its Aesop and The Body Shop holdings, the company is now sharpening its focus on profitability and operational excellence across Latin America and global markets.
At the center of that effort sits a deceptively complex challenge: understanding, in real time, which revenue and cost factors are driving or eroding gross margin across a highly diversified business. For years, answering that question meant manual reporting, delayed insights, and finance teams spending valuable time on data gathering rather than analysis.
That’s now changing, thanks to a co-innovation initiative developed together with SAP and Numen, a global SAP partner specializing in digital transformation and enterprise software implementation.
From manual reporting to proactive decision intelligence
The project’s goal was to replace a labor-intensive gross margin analysis process with a generative AI application embedded directly into Natura &Co’s financial workflows. Built on SAP Business AI Platform, SAP’s unified foundation integrating business technology, data, and AI capabilities, the application connects directly to data in SAP S/4HANA to provide finance teams with automated insights and narrative recommendations in real time, without the need for manual data pulls or offline reporting.
The application enables users to explore revenue, cost, and margin drivers interactively, identifying at a glance which elements are protecting or eroding margin performance across markets and product lines. Crucially, human oversight remains central to the design: the AI application generates insights, while finance professionals retain full control over interpretation and decisions.
“The implementation of gross margin analysis using AI in SAP S/4HANA marked an inflection point in the analytical capability of our finance area,” said Rogério Dias Garcia, tech manager, ERP Latam, Natura &Co. “We overcame delays and raised the standard of insights by integrating margin analysis from SAP S/4HANA with a large language model connected via the SAP AI Core layer. This architecture allowed us to provide, in an agile, secure, and completely anonymous manner, a stratified and precise view of gross margin offenders and protectors—discriminating exactly which revenue or cost elements were driving market performance.”
A collaborative architecture for scalable AI adoption
Natura &Co’s application derived from a prototype SAP partner Numen created in early 2024 at SAP’s global Hack2Build on business AI, leveraging the generative AI capabilities of SAP Business AI Platform. The solution was designed and developed through close collaboration between Natura &Co, Numen, and SAP. From the outset, the approach was to align AI adoption with concrete business priorities, ensuring the application would be scalable and production-ready rather than a standalone prototype.
Numen brought deep SAP implementation expertise to the project, combining knowledge of SAP S/4HANA architecture with hands-on experience in building solutions on SAP Business AI Platform. The technology stack—SAP S/4HANA, SAP AI Core, SAP Fiori, and SAP Business Technology Platform—provided the secure, integrated foundation needed to connect financial data with generative AI capabilities in an enterprise context.
“SAP enabled the transformation by providing the technological foundation and expert support,” said Carlos Aravechia, head of Data Design & Intelligence at Numen.
The success of the project has validated a broader conviction at Natura &Co: that generative AI, embedded directly in ERP workflows, can fundamentally reposition finance from a transactional function to a strategic business partner.
A blueprint for other businesses
The Natura &Co project demonstrates a pattern that other organizations can replicate, particularly those running SAP S/4HANA. The combination of structured ERP data with the contextual reasoning capabilities of large language models creates a foundation for decision intelligence that goes well beyond traditional business intelligence tools.
The project was built within a six-month co-innovation sprint and went live in August 2025. It is currently in use across Natura &Co’s Equador operations.
Looking ahead, Natura &Co is already planning the next phase: integrating Joule Agents to further automate the extraction of standard analytical content and deepen the AI-driven optimization of financial processes.
“The success of this initiative validates the transformative potential of embedded AI within our ERP,” Dias Garcia noted. “We are now ready to move forward—deepening these insights and integrating the capability of Joule Agents to maximize the extraction of standard content and further optimize our business decisions.”
For SAP customers evaluating how to move from AI experimentation to AI in production, the Natura &Co project offers a concrete, replicable model: start with a high-value, well-defined business process, embed AI directly into existing workflows, and build in human oversight from the start.
A girl from a disadvantaged rural family in central China topped this year’s gaokao, attracting numerous live-streamers eager to finance her education, which she declined.
The home of 18-year-old secondary school graduate Han Yaping in a Henan province village was recently bustling with live-streamers.
This attention came after Han achieved an impressive score of 699 out of 750 in the gaokao, China’s national college entrance exam.
She has received offers from China’s two leading universities, Tsinghua University and Peking University.
Han’s accomplishment is particularly remarkable given her family’s impoverished circumstances.
Her mother suffers from ankylosing spondylitis, an inflammatory arthritis affecting the spine, preventing her from working. Her father, who earns a living through farming and odd jobs, serves as the family’s sole provider. Han also has a younger sister.
The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.
The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”
The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.
Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.
The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted. Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.
The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.
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