John Overton is an engineer, podcast producer, and graduate of the Round Table Recording Arts program. He is the founder of Popular Rapture, a podcasting company, and is responsible for co-production and recording of the Follow D$ Podcast, Conversation Piece Podcast, and North Indy Podcast. In addition to podcasting, John's expertise extends into voice-over work, audiobook recording, mixing, and mastering. He is also an artist and composer, specializing in Hip-Hop, Rock, Pop, and Electronic.

AI is changing how customers find and choose a business, but the fundamentals of good marketing haven't gone anywhere. Knowing what problem you solve, who you serve, and how to make it easy for someone to trust and pay you is still the foundation everything else sits on. The businesses winning right now aren't the ones chasing every new tool. They're the ones who nailed the basics first and then layered AI on top with a plan.

Stacie Porter Bilger, Founder and President of Proof Digital, sits down with John Overton to talk through what that looks like in practice. She walks through why your website and social content now have to speak to AI bots as much as to humans, why she treats AI like a new salesperson who needs training and context, and why Claude has become her favorite platform for coding and safety even as Gemini and ChatGPT hold their own ground. Stacie also gets specific about cost, the data points that actually prove a marketing effort is working, and the AI policy every business should have in place before a team starts using these tools. It's a grounded, practical look at where AI genuinely helps small businesses and where the old rules of marketing still apply.

In this episode of Proof Point, recorded in partnership with Round Table Recording Company, host John Overton interviews Stacie Porter Bilger, Founder and President of Proof Digital, on building AI into a small business marketing strategy without losing what makes that business trustworthy in the first place.

Nicole Donnelly is the Founder and globally recognized AI Adoption Specialist at AI Smart Ventures, a company dedicated to helping teams integrate AI with clarity, confidence, and real‑world impact. As an award-winning prompt engineer, she has nearly two decades of entrepreneurial leadership experience combined with over a decade of guiding organizations to adopt AI effectively. Dedicated to making AI transformational, Nicole trains professionals and delivers hands‑on workshops, consulting, and strategy to streamline processes and drive growth. Her work has helped thousands adopt AI and saved millions of productivity hours.

AI is evolving rapidly, and teams across industries are experimenting with tools at every level of business. However, many of these experiments fail to deliver real, tangible results. To truly harness AI's potential, companies must transform scattered tools and ideas into cohesive systems that drive growth. But what does it take to build an AI stack that your team can consistently use and scale?

Nicole Donnelly, a global AI speaker and entrepreneur, says the answer starts with practical implementation — using AI to simplify workflows, strengthen marketing, and create scalable systems that actually deliver results. She explains that businesses must think in three layers: AI-powered SEO for visibility, generative AI for daily productivity, and autonomous agents for advanced automation. The real impact comes when teams combine these tools with strong systems and human oversight, ensuring their unique strengths aren't lost in automation. Nicole also emphasizes that early AI adoption provides a competitive edge, especially by structuring content and data in ways AI can easily discover and prioritize. Ultimately, success with AI isn't about using more tools — it's about using the right ones effectively and consistently across the organization.

In this episode of Proof Point, Stacie Porter Bilger sits down with Nicole Donnelly, Founder and AI Adoption Specialist at AI Smart Ventures, to discuss building an effective AI stack. Nicole details some AI tools for workflow automation, tactics for AI-driven SEO and content strategy, and how to drive team adoption. She also shares advice on training teams and maintaining a human touch in AI-powered systems.

Ken McLoud is the Founder of Laconic Tech, a technology company focused on helping businesses harness the power of artificial intelligence and custom software to streamline operations, boost efficiency, and unlock growth. Drawing on his experience in AI engineering and strategic consulting, he partners with clients to design solutions that integrate smoothly with existing systems and deliver measurable business results. Prior to founding Laconic Technology, Ken worked as a Design Engineer at Ruger Firearms, where he leveraged his technical expertise to develop innovative products.

AI is everywhere, and it's not slowing down. But most companies are still struggling to use it in a way that actually drives results. It's easy to get caught up in the hype, tools, and trends without seeing real impact. So how can businesses integrate AI in a way that truly supports people, improves workflows, and creates meaningful growth?

Ken McLoud, an engineer with over 15 years of experience building complex systems, explains that the most effective way to integrate AI is by using it to enhance human capability — not replace it. He emphasizes focusing on workflows instead of roles, identifying bottlenecks, and automating repetitive tasks to increase output without expanding teams. He also highlights the importance of aligning AI initiatives with real business problems, not chasing trends. The result is more efficient operations, better decision-making, and scalable growth. By combining strategy, implementation, and follow-through, businesses can turn AI into a practical advantage rather than a distraction.

In this episode of Proof Point, Stacie Porter Bilger sits down with Ken McLoud, Founder of Laconic Tech, to talk about the right way to integrate AI into your business. They explore using AI to enhance teams, building custom solutions for workflows, and avoiding the trap of trend-driven adoption. Ken also shares advice on identifying the right AI opportunities for long-term growth.