Ep 24 - From Google to AI: The New Rules of Brand Reputation

Ep 25 - Stop Overthinking AI. Start Here Instead.

If you’ve been trying to figure out where AI fits into your business, you’re not alone. Most teams are stuck somewhere between curiosity and overwhelm, unsure of what to prioritize or where to begin. In this episode of Scale Without Chaos, Samantha Riel [https://www.linkedin.com/in/samanthariel/] joins Sarah Evans [https://www.linkedin.com/in/prsarahevans/]of Zen Media and AskSarah.ai on her live show, The Visibility Equation, to answer the 20 most common questions leaders are asking about AI right now. This episode is rapid-fire. Instead of overcomplicating strategy, this episode focuses on clarity, prioritization, and practical application. In this conversation, they cover: * Where to start with AI (without overthinking it) * Why most AI strategies fail before they begin * The difference between AI assistants and AI agents * How to prioritize AI use cases across your business * Why efficiency, not replacement, is the real opportunity * How to train AI to actually produce useful output This is a practical breakdown for business owners and leaders who want to move from experimentation to real implementation.

Ep 24 - From Google to AI: The New Rules of Brand Reputation

If you’ve ever wondered what AI is saying about your company, or why it matters more than you think, this episode will change how you see your brand. In this episode of Scale Without Chaos, Samantha Riel is joined by Sam Michelson, CEO of Five Blocks, to break down how brand reputation is evolving in real time. Search is no longer just Google results. AI tools like ChatGPT, Gemini, and Perplexity are now shaping how customers, candidates, and partners understand your business, and most companies have no idea what those systems are actually saying. In this conversation, they cover: * How AI search is completely different from Google * The new influencers are LLMs, not people * Why your brand narrative is now influenced by multiple AI models * The hidden role Wikipedia plays in AI-generated answers * How companies can track and shape their reputation across AI platforms Real examples of how small changes can dramatically shift perception From Wikipedia strategy to AI-driven reputation tracking, this conversation breaks down what’s actually happening behind the scenes and what leaders need to do now to stay in control of their narrative. This episode is a must-watch for leaders who want to stay ahead of how their brand is being interpreted, not just presented.

Ep 23 - Common Mistakes Businesses Make When Scaling

Scaling a business is often talked about like a strategy problem. In reality, it is usually a people problem. In this episode of Scale Without Chaos, Samantha Riel sits down with Laura Early, founder and CXO of Wise Advise and Assist Team, to talk about what really breaks when companies start growing. From leadership self-awareness to unclear roles and reactive tech decisions, they unpack the patterns that quietly derail scale. Laura also shares the story behind Wise Advise and Assist Team, the company she founded to help businesses systematize operations and scale without taking on full-time employees. The firm supports companies across finance, operations, and administrative functions, helping leadership teams build stronger processes and systems while keeping the day-to-day running smoothly as they grow. The model is shaped directly by Laura’s life as a military spouse. She has moved eight times in the last twelve years, and today she runs the company from Germany while continuing to lead a distributed team around the world. Because military spouses relocate so frequently and face unemployment rates three times the national average, Laura built Wise as a remote-first company designed to create flexible, portable careers that can move with families wherever the military sends them. The result is a business that helps companies operate more efficiently while also creating meaningful opportunities for a highly capable but often overlooked workforce. The conversation dives into the real challenges leaders face when they move from early growth to true scale. It turns out the biggest issues rarely come from strategy alone. They come from unclear expectations, poorly defined roles, reactive hiring, and systems that were chosen as quick fixes rather than long term solutions. Along the way, Samantha and Laura explore: • Why self-awareness is one of the most important leadership skills in scaling a company • How lack of clarity quietly breaks teams as businesses grow • The danger of hiring too fast when growth suddenly accelerates • Why reactive technology decisions create expensive long-term problems • The importance of defining roles, expectations, and decision rights early • How personality differences between teams, especially sales and marketing, create friction during growth • Why documenting processes earlier can protect the future of your business They also discuss the balance between speed and sustainability, and why many companies create unnecessary complexity while trying to grow. One of the most powerful insights from the episode is simple: Self-awareness leads to self-development. For leaders, that means being willing to ask hard questions, listen to feedback, and continuously improve how they lead their teams. If you are navigating growth, hiring during a busy season, or trying to build systems that support your next stage of scale, this episode offers practical perspective on what actually matters. Scaling a company is not just about doing more; it is about building the clarity, leadership, and systems that allow growth to last.

Ep 22 - The Top 6 Customer Success Mistakes Most Companies Get Wrong

Customer success is one of the most misunderstood functions in growing companies. In this episode of Scale Without Chaos, Samantha Riel sits down with Matt Sullivan, head of Customer Success at multiple B2B Tech organizations, to unpack the most common mistakes companies make when trying to retain and grow customers. Matt brings a unique perspective shaped by years in SaaS, account management, partnerships, and even a detour into film production that earned him his own IMDb page. Together, they explore how customer success has evolved from a simple support function into a critical part of a company’s growth system. The conversation focuses on six major mistakes that show up again and again inside B2B organizations. Hiring customer success too late. Treating customer success like support. Failing to define what success actually means for the customer. Waiting too long to detect churn risk. Assuming customers are getting value without verifying it. And perhaps the biggest mistake of all, believing customer success alone is responsible for retention. Here are a few of the biggest mistakes we talked about. * Hiring customer success only after churn becomes a problem * Treating customer success like customer support * Never clearly defining what “success” means for the customer * Waiting for lagging indicators instead of watching early signals * Assuming customers are getting value without actually verifying it * Believing customer success alone owns retention The last one might be the most important. Retention is not owned by one team. If you lead a SaaS company, manage customer success, or work anywhere in the customer lifecycle, this conversation will likely feel familiar. And if your customer success team feels like firefighters, you may want to ask a bigger question about the system they are operating inside. This episode is a practical look at how companies can move from reactive support to true customer success.

Ep 21 - AI in Coworking

AI is moving fast. Faster than most coworking operators expected. In this episode of Scale Without Chaos, Samantha Riel sits down with Taylor Mason, founder of TaleMaker and longtime content strategist in the coworking industry, to unpack what AI adoption actually looks like inside coworking spaces right now beyond the hype. They explore how AI “ages like milk,” why many operators experimented early and then fell off, and what separates the spaces that are seeing real traction from those stuck in the trial-and-error phase. This conversation leans directly into AI in coworking, not theory, but application. You’ll hear: * Why “we need to implement AI” is not a strategy * The biggest AI mistakes coworking leaders are making * How lean teams can use AI to scale content without hiring more headcount * What a mature content system looks like for single-location vs. multi-location operators * How to centralize brand while still localizing messaging * Why two-sentence “magic prompts” don’t work * How content remixing turns one blog, podcast, or case study into a full multi-channel engine * Where AI agents and automation can support lead conversion and member engagement They also discuss the real opportunity inside coworking: using AI to improve margins, increase marketing consistency, speed up SOP documentation, and remove friction from already lean teams. This is not a conversation about replacing humans. It’s about building smarter systems inside coworking businesses so operators can scale without adding unnecessary complexity. If you run a coworking space, support coworking operators, or are trying to figure out how AI fits into a community-driven business model, this episode will give you a practical, grounded roadmap. Because AI in coworking isn’t about chasing tools. It’s about using the right systems to create leverage.