How AI Will Evolve the 7 Parts of Your Consulting Business Model

How AI Will Evolve the 7 Parts of Your Consulting Business Model

How AI Will Evolve the 7 Parts of Your Business Model:  Leverage AI to enable you to solely focus on client relationships, belief and the nuances of your work 00:00 The Bold Pricing Vow 01:42 AI Labs Enter Services 03:29 Your Offer Is Not The Moat 05:00 Seven Model Ingredients 06:47 How AI Changes Each Part 15:25 The Evolved Model Blueprint 25:26 Three Breakthrough Signals 29:49 Four Steps To Redesign 36:53 Closing Call To Evolve Substack Version of this podcast:  https://dogoodwork.substack.com/p/how-ai-will-evolve-the-7-parts-of

What Happens When a College Makes Entrepreneurship Mandatory for 100% of Students with Jeffrey Meade

In this episode, I talk with Jeffrey Meade, founding director of entrepreneurship at Paul Quinn College, about the school’s “Every Quinnite is an Entrepreneur” program, where by 2028 every student must launch a real business that generates revenue before graduating. Jeff explains why traditional schools optimize for employment but the job market is changing, making entrepreneurial thinking—creativity, adaptability, and problem-solving—more essential. We dig into what qualifies as a “real business” (no fixed revenue threshold, but real customers, pivots, and an MVP mindset), why they focus on solving a core problem before layering in AI, and the mindset shift first-generation and Pell Grant students must make from “don’t fail” to “fail fast” in a safe learning environment. Jeff also shares how he’s open sourcing the model through case studies and a podcast, plus where to learn more. 00:45 Why Entrepreneurship Now 03:38 Mandatory Student Ventures 04:35 MVPs And First Sales 06:52 AI Tools Problem First 10:31 From Scarcity To Confidence 13:06 Safe Space To Fail 15:18 Open Sourcing The Model 17:29 Where To Learn More Connect with Jeffrey:  * https://paulquinn.edu/entrepreneurship [https://paulquinn.edu/entrepreneurship] * jeff-meade.com [http://jeff-meade.com] * jmeade@pqc.edu [jmeade@pqc.edu] * https://www.linkedin.com/in/jeffmeade [https://www.linkedin.com/in/jeffmeade] Connect with Raul:  • Work with Raul: https://dogoodwork.io  • Free Growth Resources: https://dogoodwork.io/resources [https://dogoodwork.io/free-growth-resources]

Why Calling Your AI "Intelligent" Is a Leadership Mistake with Patrick Rooney, Founder of Leonis Strategy

In this episode, I interviewed Patrick Rooney, a cognitive science–trained AI practitioner and founder of Leonis Strategy, about how founders mischaracterize AI by collapsing “scripted autonomy” (agents doing tasks while you step away) into personhood autonomy (will, rights, interiority). Patrick argues this isn’t just sloppy language but a leadership issue that shapes how teams relate to technology. They discuss why LLMs are plausibility engines rather than truth-seekers, how humans can pursue truth, beauty, and goodness for their own sake, and why leaders must own inputs, outputs, and responsibility instead of outsourcing judgment. We explored why LLM training is text-bound and disconnected from lived experience, the appearance-versus-reality problem behind Turing-test thinking, practical cautions around anthropomorphizing AI, and why doubling down on in-person human connection is a strategic response to AI at scale. 01:53 LLMs Are Plausibility Engines 05:10 Leadership And Culture Values 07:34 Why LLMs Aren't Intelligent 08:54 Turing Test And Training Limits 12:42 Language Detached From Reality 14:48 Personhood Rights And Ethics 19:01 Anthropomorphism Risks 19:34 Human Ownership Mindset 20:25 Outsourcing Your Thinking 22:24 IP Training Fears 24:34 Responsibility Still Human 28:41 Leading In AGI Hype 29:38 Grounding In Real Life Connect with Patrick:  • https://leonisstrategy.com/ [https://leonisstrategy.com/] • https://www.linkedin.com/in/prooney1/ [https://www.linkedin.com/in/prooney1/] Connect with Raul:  • Work with Raul: https://dogoodwork.io/apply  • Free Growth Resources: https://dogoodwork.io/free-growth-resources [https://dogoodwork.io/free-growth-resources]

The Friction With AI Adoption from CEOs Vantage Point with Jim Ristuccia with Vistage

In this episode, I’m joined by Jim Ristuccia, a former US Naval officer, founder/CEO, and Vistage Chair in San Diego who leads peer groups for CEOs of $5M+ companies and small business owners in the $1–10M range. We break down what actually happens inside a Vistage meeting—especially the “issue processing” that surfaces blind spots through uncomfortable but growth-producing questions. Jim shares how AI started showing up consistently after a 2024 speaker session, including a case where an IP law firm put its team through AI bootcamps, tripled personal productivity, and grew revenue 50–60% in a year. We discuss the adoption gap (CEOs vs. leadership teams vs. employees), why employees often feel threatened, and how leaders can create psychological safety. We also dig into practical implementation via AI champions, committees, process mapping, low-hanging-fruit use cases, and measuring ROI through time savings, productivity, and revenue. 01:56 What Vistage Really Is 02:45 Issue Processing Secret Sauce 04:46 When AI Hit the Groups 06:43 Why Some CEOs Lag on AI 08:44 Use Cases vs Business Model Shifts 09:45 AI Readiness and Industry Friction 11:20 Leading Change and Finding Use Cases 13:25 Prompts Training and Psychological Safety 15:01 AI Champion and Process Mapping 16:04 Why People Quit 16:32 Build AI Champions 17:58 Pick Use Cases Fast 18:33 Measuring AI Impact 20:00 Beyond Time Savings 21:02 Culture and Safety 23:48 Compliance and Knowledge 24:32 Jobs and Business Models 27:38 Adoption Takes Time Connect with Jim:  • https://jimristuccia.com/ Connect with Raul:  • Work with Raul: https://dogoodwork.io • Free Growth Resources: https://dogoodwork.io/resources [https://dogoodwork.io/free-growth-resources]

What Actually Happens to Your IP and Labor Costs When AI Gets Cheaper with Thadd Ruszkowski, CTO at Fuzati

In this episode, I’m joined by Thaddius Ruszkowski, CTO at Fuzati, who’s built software platforms for over a decade, from 25-person internal workflow systems to consumer platforms with millions of users. Thadd isn’t just theorizing about AI agents; he’s running a fleet of them in parallel every day across multiple projects. We dig into what happens to value, intellectual property, and labor as production costs collapse, and why efficiency is only the opening round, not the real competitive advantage of AI. We also talk about managing parallel agents without losing your mind, the comeback of hardware, why on-prem/local will matter more than most people think, and why IP is actually more valuable now in a world flooded with slop. Plus, how he built an early chatbot trained on the writings of St. Thomas Aquinas. 03:12 Working With Agents 04:44 Aquinas Chat Origins 10:28 Beyond Efficiency 20:49 Net New Value 24:28 Create Net New Value 25:02 Decouple Labor From Value 27:58 Outcome Value Shift 30:26 Future Digital Assets 34:35 Three AI Futures 37:58 IP And Distribution 40:56 Local Hardware Shift 42:42 Client AI Disclosure Connect with Thadd: https://www.linkedin.com/in/thad-ruszkowski/ [https://www.linkedin.com/in/thad-ruszkowski/] Connect with Raul:  • Work with Raul: https://dogoodwork.io  • Free Growth Resources: https://dogoodwork.io/resources [https://dogoodwork.io/free-growth-resources] • Connect with Raul on LinkedIn (DMs open): https://www.linkedin.com/in/dogoodwork/ [https://www.linkedin.com/in/dogoodwork/]