by Elena Dimitrova
Most AEC podcasts talk about buildings. We talk about building companies. Not just another “tech trends” or "architecture" show… It’s about modern entrepreneurship. It’s about scalable business growth. It’s about leveraging AI and business intelligence to build future-proof companies. AEC + AI + Entrepreneurship = NextGen Leadership.
Language
🇺🇲
Publishing Since
12/10/2025
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
June 18, 2026
<p>In this episode of <strong>NextGen Studio</strong>, I speak with <strong>Angeley Mullins</strong>, founder and CEO of <strong>Ateris Ventures</strong>, about the future of AI, go-to-market strategy, founder-led sales, and what it really takes to scale a startup in today’s market.</p><p>Angeley shares her experience, having helped scale high-growth startups and worked with major technology brands. She explains why founders cannot rely on product features alone, why AI tools are not a go-to-market strategy, and why critical thinking is becoming one of the biggest competitive advantages in the AI era.</p><p>The conversation explores how startups move from product-market fit to scalable growth, the difference between Series A and Series B GTM challenges, where AI creates real ROI in sales and marketing, and why the brand is still the original revenue driver.</p><p>Angeley also shares her perspective on women in tech leadership, the importance of building a personal brand, and why founders and CEOs need to use their voice, tell better stories, and build trust before the market is ready to buy. </p><p><br></p><p><strong>Topics covered in this episode:</strong></p><ul><li>AI in GTM strategy</li><li>Founder-led sales and startup growth</li><li>Product-market fit and scalability</li><li>Why AI tools are not a strategy</li><li>Inbound vs. outbound marketing in the AI era</li><li>Brand as a revenue driver</li><li>Series A vs. Series B GTM challenges</li><li>Women in tech and leadership</li><li>Why founders need to build visibility and trust</li></ul><p><strong>Listen to this episode if you’re a founder, CEO, startup operator, marketer, or growth leader thinking about how to use AI, branding, and go-to-market strategy to scale smarter.</strong></p><p><br></p>
June 11, 2026
<p>In this episode, I speak with <strong>Brian Fletcher</strong>, co-founder of the AI-first consultancy <strong>FM</strong> and fractional CTO for growth-stage companies.</p><p>Brian shares why the traditional agency and consulting model is being disrupted, how AI-assisted development is making custom software more accessible, and why many companies are starting to question whether renting SaaS tools still makes sense. The conversation explores the rise of small senior teams, outcome-based consulting, AI automation, knowledge systems, and the future of technical leadership in an AI-driven business world.</p><p>We also discuss the difference between the “work of knowing” and the “work of deciding,” why AI can handle research, synthesis, reporting, and operational knowledge work — but human judgment, accountability, taste, and strategic decisions still matter.</p><p>This episode is especially relevant for founders, CTOs, business owners, consultants, and mid-market companies exploring how to use AI to improve workflows, automate processes, build smarter systems, and move faster without scaling headcount too early.</p>
June 4, 2026
<p>In this episode, I sit down with Steven Dickens, CEO and Founder of HyperFRAME Research, to explore what enterprise AI adoption looks like beyond the hype.</p><p>Steven is a leading industry analyst and one of the most trusted voices at the intersection of enterprise technology, AI strategy, and business transformation. HyperFRAME Research recently published the State of the Enterprise AI Stack 2026 report, based on insights from 544 senior technology and business leaders.</p><p>Together, we discuss the enterprise AI execution gap - why 78% of organizations say AI is strategically important, yet only 37% have a structured process to deploy it. The conversation explores what prevents companies from turning AI ambition into real implementation, including data quality, legacy infrastructure, security, cost, talent shortages, governance, and shadow AI.</p><p>Steven also shares practical insights on where companies are seeing real AI ROI today, including software development, customer support, call centers, SaaS tools, and personal productivity. The conversation covers AI readiness, large language model strategy, agentic workflows, the future of SaaS, AI governance, and why successful AI adoption is ultimately a people, process, and technology challenge.</p><p>If you are a founder, business leader, technology executive, or growth-focused person trying to understand how AI will reshape enterprise workflows, this episode offers a clear and grounded perspective on how to move from AI experimentation to real deployment.</p><p>Listen to the full episode to learn how business leaders can close the enterprise AI execution gap and build a more practical, secure, and scalable AI strategy.</p>
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
Most AEC podcasts talk about buildings. We talk about building companies.
Not just another “tech trends” or "architecture" show…
It’s about modern entrepreneurship. It’s about scalable business growth. It’s about leveraging AI and business intelligence to build future-proof companies.
AEC + AI + Entrepreneurship = NextGen Leadership.
This podcast updates daily.
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Yes, this podcast regularly features guests.
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.