Leap to Scale

In this episode of Leap to Scale, Justin Davis and Greg Ross-Munro sit down with Dr. John Licato, CEO of SquarePak and Associate Professor at the University of South Florida, to explore one of AI’s biggest unsolved challenges: trust. They discuss why hallucination-resistant AI matters in high-stakes environments like contracts and legal reasoning, how adversarial systems can improve AI decision-making, and why “I don’t know” may be one of the hardest capabilities for AI to develop. The conversation also dives into the future of professional services, the risks of replacing junior talent too quickly, and what business leaders should be thinking about as AI reshapes how expertise is developed and delivered.

In part two of this prototyping series, Justin Davis and Greg Ross-Munro focus on what happens after you build the prototype: getting meaningful feedback, iterating with intention, and knowing when something is ready to move toward production. They explain how to run effective feedback sessions without getting distracted by surface-level opinions, why mental models matter more than button placement, and how fidelity should increase alongside certainty. The conversation also tackles a modern challenge: when AI-built prototypes blur the line between experiment and product, and how to decide when to bring in professional help.

In this episode, Justin Davis and Greg Ross-Munro break down why prototyping is one of the most important steps in building software-driven products or improving service business operations. They explain how prototypes help test whether an idea actually solves a problem before investing serious time and money into building it. The discussion covers practical ways to prototype quickly using spreadsheets, forms, automation tools, and AI-assisted development. They also explore the difference between prototypes and proof-of-concepts—and why entrepreneurs must avoid becoming emotionally attached to early versions of their ideas.

Choosing a tech stack can feel like walking into a storm of buzzwords: languages, frameworks, and “best practices” that change every year. Justin and Greg break down a practical way for service-business leaders to choose technologies without getting paralyzed. They explain what a “tech stack” actually is, why performance usually isn’t the deciding factor, and what matters more: hiring market, community support, and long-term maintainability. Plus, a clear rule of thumb for mobile apps: when to go cross-platform with React Native or Flutter.

Greg and Justin dive into why speed, not size, determines success in service industries. From automating field operations and digitizing workflows to cutting billing cycles and error rates, they show how even small tech upgrades can drive major efficiency gains. Real-world examples prove that smarter processes boost margins and competitive edge.

Professional services firms are trapped in the hours-for-dollars model, but they do not have to be. In this episode, Greg and Justin break down how to increase margins by productizing the work you already do, using process, automation, and AI. They explain why service businesses struggle to scale, how to identify bottlenecks, and where technology can unlock recurring revenue without replacing your team. If you want higher margins without adding headcount, this episode gives you a practical roadmap to start.

In this episode of Leap to Scale, Justin Davis and Greg Ross-Munro tackle one of the biggest blockers to AI adoption: fear around safety and data security. They break down what’s actually risky, what’s mostly overblown, and how paid AI tools differ from free tiers when it comes to privacy and legal protection. The conversation covers real-world trade-offs, from anonymizing sensitive data to running models on your own infrastructure. The big takeaway: don’t panic, but don’t wing it either—clear policies and practical guardrails matter.

Greg and Justin break down the handful of metrics that really move a service business: proposal-to-close time, win rate, conversion from site visit to “get a quote,” jobs-per-day, and collections cycle. They show how software (not spreadsheets) unlocks extras like proposal views and automated nudges—and why tracking over time reveals where to push next.

Greg and Justin cut through the buzz around AI to talk about what it really means for service-based companies. They explore why adoption has been slow, where businesses can find low-risk, high-value applications, and how to start experimenting safely. The conversation is packed with real examples, from automating invoices to improving meeting notes, and ends with a call to action: start small, start now.

In this episode of Leap to Scale, Justin Davis and Greg Ross-Munro break down Model Context Protocol (MCP) and explain why it is such a powerful shift in how AI interacts with real business systems. Starting with a simple explanation of APIs, they explore how MCP allows AI to securely connect to tools like CRMs, time tracking, and project management software so teams can ask questions, automate workflows, and take action using natural language. If you want a practical look at how AI can move beyond chat and become a true partner in scaling your business, this episode is a must-listen.