The Middle Path to AI Strategy: Experiments That Actually Pay Off

UX Court is officially in session. Greg Ross-Munro and Justin Davis put three real-world service apps on trial to decide when frustrating UX is a reasonable business tradeoff and when it crosses the line into a dark pattern. Using complaints involving Lyft, Instacart, and restaurant reservation platforms, they examine support mazes, cancellation fees, grocery substitutions, phantom reservations, and the tension between operational efficiency and user trust. Along the way, they explore practical ways service businesses can design better software without sacrificing margins or scalability.

AI skills could change how service firms automate work, capture expertise, and scale without adding headcount. In this episode, Justin Davis and Greg Ross-Munro unpack what AI skills are, how they differ from prompts and custom GPTs, and why their portability and ability to execute repeatable processes make them so powerful. They explore practical examples ranging from financial reporting to infrastructure setup, and explain how firms can identify repetitive work that is ready to become an AI-powered skill.

AI coding tools like Claude Code, Codex, Cursor, Lovable, Replit, and Bolt are making it possible for non-engineers to build real internal software. But when does an AI-built app become risky enough that you need a professional software team to review it? In this episode, Justin Davis and Greg Ross-Munro break down the difference between low-risk internal tools, high-risk production systems, and the tricky middle ground where business value, customer data, integrations, and security all matter. They also explain why “vibe coding” is evolving into “agentic engineering,” and how service firms can use these tools safely without creating avoidable technical, operational, or legal risk.

AI agents are becoming remarkably easy to add to customer service workflows, but easy installation does not mean safe deployment. A customer-facing automation that works perfectly during a demo can still hallucinate, access the wrong information, claim to have completed actions it never performed, or trap customers in frustrating conversations with no clear route to a human.In this episode, Greg Ross-Munro and Justin Davis introduce the FRAME framework, a practical way for service businesses to evaluate AI-powered automation before putting it in front of customers. FRAME stands for Funnel Stage, Risk, Authority, Mechanism of Truth, and Escalation. They explore how each factor affects the amount of autonomy an AI system should receive, why the potential “blast radius” of a mistake matters, how to create reliable connections to systems of record, and why human handoffs, testing, logs, and audit trails need to be designed into the system from the beginning.

AI is changing how companies hire, but not in the way most people think. In this episode, Justin Davis and Greg Ross-Munro unpack why AI agents are replacing tasks, not entire jobs, and what that means for service firms trying to scale efficiently. They explore how modern AI workflows can automate reporting, proposals, market research, and other repeatable operational work using tools like Make.com, N8N, and GPTs. The conversation also covers where non-technical teams can go surprisingly far on their own, and when it’s time to bring in software professionals to productionize and secure these systems for real client use.

What happens when software stops looking like software? In this episode, Justin Davis and Greg Ross-Munro explore the future of interfaces in an AI-first world and ask whether traditional SaaS dashboards, menus, and feature-heavy applications are headed for extinction. From spreadsheets and mobile apps to conversational AI and composable interfaces, they unpack how businesses may soon interact with technology through voice, chat, and intelligent agents instead of clicks and forms. Along the way, they debate whether “UX” is disappearing entirely or simply evolving into something stranger, more creative, and potentially more human than ever before.

Many service firms run their entire business on industry-standard software they cannot change, customize, or differentiate. In this episode, Justin and Greg explain why middleware is the missing layer that unlocks real competitive advantage without rebuilding core systems like payroll, ERPs, or industry-specific platforms. They break down how middleware works, where it fits between brittle automation tools and heavyweight enterprise platforms, and how it enables automation, AI, and IP creation. If you want to scale smarter without taking on massive technical risk, this episode shows where to start.

Most service firms fall into one of two AI traps: endless experiments that go nowhere, or total paralysis from too many options. In this episode, Justin and Greg lay out a practical middle path for building an AI strategy that actually delivers results. They explain how to set boundaries, design small but meaningful experiments, and fail in the right direction. If you want to use AI without wasting time, money, or trust, this episode gives you a clear, repeatable approach.

In this episode of Leap to Scale, Justin Davis and Greg Ross-Munro sit down with Aaron White, CEO and co-founder of Outbound.com, to discuss the unconventional path he took from running an agency to building an AI-powered advertising platform. Aaron shares why he acquired a professional services agency before building the software, how his team identified the highest-value automation opportunities, and what it really takes to turn services into scalable systems. The conversation dives into AI-assisted advertising, operational efficiency, culture versus process, and why now may be the best time ever to build a software-enabled business.

In this episode of Leap to Scale, Justin Davis and Greg Ross-Munro sit down with Doug Smith, Director of AI Operations at Element 451, to explore how AI is transforming the way service businesses operate, automate, and scale. The conversation covers everything from hidden operational data and AI-driven workflows to rapid prototyping with tools like OpenClaw and AI agents. Doug shares practical advice for identifying automation opportunities, avoiding “AI slop,” and using data exhaust to uncover growth opportunities hiding inside everyday business systems. It’s a candid and highly tactical discussion about where AI is genuinely creating leverage today and what firms need to do to stay competitive as the technology evolves.