You're running 44 locations across Raleigh, Charlotte, Atlanta, and DC. You've been at this since 2012, merged partnerships in 2025, and every new site is a serious bet. Here's what purpose-built AI could look like for Legacy Swim Group.
Legacy Swim Group started with neighborhood, hotel, and gym pools in 2012, opened the first brick-and-mortar Aqua-Tots in Cary in 2013, expanded to Charlotte in 2014, Atlanta in 2016, and DC in 2021. A 2025 merger brought the group to 44 locations. The franchisor brings curriculum, marketing playbooks, and the Aqua-Tots app. But the work of actually running and growing a group this size sits on the operator's shoulders, and that's where the biggest leverage is.
These aren't hypotheticals. Each one maps to something you're already doing by hand, or something the franchisor doesn't do for you. The first three came out of our conversation; the next three came out of looking at how multi-unit swim school operators actually spend their time.
Replace the "upload data, get a different answer each time" cycle with a structured evaluation framework that scores locations against fixed, weighted criteria and gets sharper with every deal.
An agent that checks the franchisor's listing database and commercial listing feeds once or twice a week, filters by your target cities and parameters, and sends you a digest instead of making you chase brokers.
Automated monitoring of competitor openings, expansions, and closures across your current and target markets. Adjust your marketing before a new competitor opens, not after families start leaving.
You mentioned using AI for lease review already. A purpose-built agent would cross-reference every new lease against your portfolio: flag terms that deviate from your best deals, surface landlord history, and catch escalation clauses before they compound.
A single view across all 44 locations: enrollment trends, instructor utilization, retention curves, lesson-slot efficiency. The franchisor gives you the app; this gives you the operator's eye across your whole portfolio.
Your construction and development experience distilled into a repeatable, tracked system. From permit to grand opening, every task sequenced with dependencies, milestones, and the institutional memory of every build you've done.
The problem you described on our call is real and common: you upload demographics, the AI says yes. You upload comps, it says no. You add something else, it says yes again. That's not intelligence; it's a model with no framework reacting to whatever landed last.
Each chat session starts from scratch. There's no scoring rubric, no weighted criteria, no memory of what worked at Cary vs. what struggled in a different market. Every data upload is treated as the whole picture, so the assessment swings with every new document.
A structured framework with your actual decision criteria, weighted by what has predicted success in your existing portfolio. Demographics are one input, not the input. The agent accumulates context across sessions, and its scoring rubric stays fixed until you change it.
Every location you build teaches you something. The challenge is making sure that lesson is available to the next build, the next GM, the next marketing push. AI isn't replacing your judgment; it's making sure your hard-won experience doesn't leak out through turnover, scattered spreadsheets, and tribal knowledge.
Site selection, listing monitor, and competition watch create a continuous growth pipeline. You see opportunities earlier, evaluate them faster, and catch competitive threats before they affect enrollment.
Cross-location dashboards, scheduling intelligence, and seasonal forecasting turn 44 separate P&Ls into one optimized portfolio. What worked at Cary becomes a playbook for every new market.
Launch playbooks, lease intelligence, and vendor tracking mean your 45th build runs smoother than your 44th. The contractor bankruptcy you survived at one location becomes a risk flag for every future build.
This is the difference between a group that happens to own 44 locations and one that has a system learning from all 44. The franchisor gives every franchisee the same playbook; your edge is what you build on top of it.
This isn't a software product with a login and a support ticket. It's a partnership with someone who understands your business, builds the tools around how you actually work, and keeps them running and improving.
Site-selection agent, listing monitor, competition watch, lease analyzer. Built for Legacy Swim Group's specific markets, criteria, and workflow. Not a generic dashboard with your logo on it.
Every deal you evaluate, every location you open, every lease you negotiate teaches the system something. Monthly reviews to tune the criteria, add new data sources, and expand to the next use case.
Start with site selection (the highest-stakes decision you make) and layer on operations, competition monitoring, and launch playbooks as each one proves its value. No big-bang commitment.
The tools get better because you use them.
This isn't about replacing what you've learned since opening those first satellite pools in 2012. It's about making sure that knowledge works for you systematically, not just when you happen to remember the right thing at the right moment.
Coffee next week. I'll bring a laptop, you bring the real questions. No pitch deck, no proposal. Just a conversation about what would actually move the needle for Legacy Swim Group.
jason@wyth.ai