#25 - From $2 Billion to $10 Billion: The AI Advantage

#25 - From $2 Billion to $10 Billion: The AI Advantage

Scaling From $2B to $10B Without Hiring More Staff Using AI What happens when a financial firm fully commits to AI instead of cautiously experimenting? In this episode of Weeks Ahead AI, we sit down with Levi McMellian, CEO of CFO for Life, along with Chase McMellian and William Killeen, to break down how his team is using AI to increase productivity, improve client service, and scale operations without dramatically increasing headcount. From meeting automation to investment workflows, this conversation shows what happens when leadership backs AI adoption and empowers younger team members to build real systems. If you’re a small business owner, executive, or operator looking to scale without burning out your team, this episode gives a real-world look at how AI tools can transform workflows and unlock growth. In This Episode * Why leadership support is the single biggest factor in successful AI adoption * How AI meeting notes transformed client service and internal workflows * The real ROI of investing hundreds of thousands into AI systems * Why hiring AI champions in their 20s can accelerate implementation * How financial firms can scale without hiring additional staff * Why companies that ignore AI risk falling behind competitors Timestamps 00:00 – Welcome to Weeks Ahead AI 02:00 – The Moment AI Became a Business Tool 04:30 – How AI Entered Their Organization 06:00 – Starting With AI Meeting Notes 07:30 – Overcoming Employee Fear of AI 09:00 – Investing Hundreds of Thousands Into AI 10:30 – Faster Client Follow-Up and Better Service 12:30 – Scaling High-Net-Worth Client Services 14:30 – AI as the Small Business Equalizer 16:30 – Operational Gains in Just 90 Days 17:30 – Tax Season Without the Stress 19:00 – The Role of Younger AI Champions 21:00 – Leadership Buy-In Matters Most 23:00 – Reducing Decision Time From Days to Hours 25:00 – What Inning Are We In With AI? 26:30 – Why You Must Start Now Links & Resources * CFO for Life Website:  https://mycfoforlife.com [https://mycfoforlife.com] * LinkedIn (CFO for Life):  https://www.linkedin.com [https://www.linkedin.com/company/cfo4life/] * Levi McMellian [https://www.linkedin.com/in/cfo4lifelevi/] * Chase McMellian [https://www.linkedin.com/in/chasemcmellian/] * William Killeen [https://www.linkedin.com/in/william-killeen-9558551b8/]

#24 - How Smart Companies Are Getting 10x ROI From AI with Matt Rosen

Most business owners are hearing nonstop hype about AI, but very few are getting a practical roadmap for what to do next. In this episode of Weeks Ahead AI, Brad, Mitch, and Terry sit down with Matt Rosen, founder of Allata, to talk about what real AI implementation looks like inside growing companies. Matt has helped more than 50 businesses adopt AI, and he explains where leaders should start, how to think about ROI, why CEOs need to be the champions, and what kinds of jobs and industries will change the fastest. If you are a business owner, founder, executive, or operator trying to figure out how to use AI tools to save time, cut costs, and stay competitive, this episode gives you a practical framework. In This Episode * Why AI adoption works best when the CEO leads from the front * How Allata used AI to save roughly $500,000 a year in performance reviews * The biggest AI opportunities in sales enablement, contract review, and internal knowledge retrieval * Why companies should not wait for “perfect data” before starting * What students, interns, and young professionals should be learning right now * Which careers and industries will be disrupted first Timestamps 00:00 – Intro to the episode and Matt Rosen’s background 02:06 – Why Allata went all in on AI early 03:26 – The challenge of staying on the bleeding edge 04:10 – A real AI ROI example: saving $500,000 annually 05:56 – Using AI to improve company culture 06:40 – Sales enablement and knowledge retrieval 10:20 – AI contract review uncovering missed revenue 11:00 – Biggest areas where AI is driving results 12:28 – Who should lead AI inside a company 13:10 – Why Matt started building AI tools personally 14:22 – Why waiting to adopt AI is risky 15:27 – Expected ROI from AI 16:34 – Avoiding dependency on one AI model 18:54 – What transformation could look like in six months 21:22 – Understanding AI pricing models 23:09 – How founders should start using AI 24:55 – Let AI help identify its own use cases 26:49 – Hiring AI specialists vs developing internal capability 27:25 – Advice for college students 29:10 – Industries most likely to be disrupted 31:03 – Skills that will matter most in the AI era 33:14 – Education adapting to AI 33:55 – Where to connect with Matt Rosen 35:17 – What the future of AI interfaces may look like 36:21 – Why AI adoption is moving faster than past technology shifts Links / Resources Mentioned * Allata [https://www.allata.com/] * Matt Rosen [https://www.linkedin.com/in/mattrosen/] * The Grit Mindset with Matt Rosen [https://www.linkedin.com/company/the-grit-mindset-with-matt-rosen/posts/?feedView=all]

#23 - How One Business Owner Saved 200 Hours a Week With AI

One small business owner shares how he went from zero AI knowledge to saving 200 hours a week. A practical starting point for any business owner who knows AI can help but doesn't know where to begin. Most small business owners know AI can probably help them. They just don't know where to start. In this episode, we sit down with Jeff Edwards, founder of Staff My Agency and LocateHire.com, who was in that exact spot not long ago. Not a tech guy. Not a developer. Just a business owner with a problem to solve and the willingness to hit the button. He figured it out one step at a time and now he's saving 200 hours a week, running leaner, and has tripled revenue over the last three years. If you've been putting off AI because it feels overwhelming, this episode is your starting point. In This Episode * Why you don't need to be a tech person to start using AI in your business * How Jeff identified one specific problem and used that as his entry point into AI * Why automation and AI are different but both can transform how you operate * How a simple LinkedIn outreach campaign turned into a major new client relationship * The honest truth about AI: it's not magic on day one, it takes time to train * Why your next great hire might be a young person who already gets AI Timestamps 0:00 Intro and welcome 0:22 Can AI really save 200 hours a week? 1:00 How Jeff built a staffing business from scratch with no tech background 3:45 Early automation before AI even existed 6:00 Why hiring out of urgency leads to bad hires 8:30 How Jeff found his AI entry point by solving one specific problem 10:00 Why you don't have to figure this out alone 13:00 AI takes time to train and that's completely normal 14:30 LinkedIn automation that landed real business 17:30 Automation vs AI in plain language 19:30 Where to start when it all feels like too much 21:00 Why hiring young AI-savvy employees is a smart move 24:00 The $17,000 bad hire stat and what it means for small businesses 25:30 The race is already on, waiting is the real risk 27:00 Wrap up and how to get started Links and Resources * Staff My Agency: staffmyagency.com [https://staffmyagency.com/] * LocateHire.com: locatehire.com [https://locatehire.com/] * Reach out to the Weeks Ahead AI team if you need help figuring out where to start: weeksahead.ai [https://www.weeksahead.ai/] Call to Action If this episode got your wheels turning, that's the point. You don't need to have it all figured out before you start. Reach out to us if you want help thinking through where AI fits in your business. Subscribe, leave a review, and we'll see you next week.

#22 - The AI Button Tax: What That Click Is Actually Costing You

The Hidden Cost of AI Tools for Small Businesses AI tools promise massive productivity gains for small businesses, but there is a cost most people never see. In this episode of Weeks Ahead AI, the team breaks down how AI token pricing works, why many software platforms mark up AI usage by 10x to 100x, and how business owners can avoid overpaying. If your team is using AI features inside platforms like CRMs, SaaS tools, or coding tools, you may already be paying far more than you realize. Understanding tokens, API access, and efficient AI usage can help you save thousands of dollars while still benefiting from AI automation. This conversation explains the real economics behind AI tools and what every small business owner should know before rolling AI out across their team. In This Episode * What AI tokens are and why they determine your AI costs * Why many software companies mark up token usage 10x–100x * Real examples of hidden AI costs inside SaaS tools * How inefficient prompting and long chat threads burn tokens * Why businesses should bring their own API keys to control costs * A simple strategy for testing AI tools before rolling them out company-wide Timestamps 00:00 – Introduction to Weeks Ahead AI The team introduces the episode and explains why understanding AI costs is becoming critical for business owners. 00:22 – What AI Tokens Actually Are Breaking down the concept of tokens and why they are the unit of cost behind most AI tools. 02:00 – The Hidden Costs Inside SaaS AI Features A real example of how a CRM AI feature consumed an entire monthly credit budget in minutes. 03:30 – The Massive Markup on AI Usage How some platforms charge dramatically higher token prices compared to direct API access. 04:30 – Why Software Companies Are Raising AI Prices How SaaS companies use AI features to drive revenue growth and increase customer spend. 06:00 – How Tokens Are Consumed in AI Conversations Why uploads, attachments, and long chat threads dramatically increase token usage. 08:30 – Building Tools with Your Own API Keys How controlling your own AI infrastructure can reduce costs from hundreds of dollars to pennies. 10:00 – The Idea of “Token Budgets” for Employees Why some companies now treat AI usage like another operating expense. 12:00 – How Inefficient AI Usage Burns Tokens Why continuing long chat threads can multiply costs without users realizing it. 14:30 – Why Short Responses Don’t Always Save Tokens How AI models may still generate long answers internally before summarizing them. 16:00 – Real Examples of Expensive AI Platforms Discussion around CRM and coding platforms that charge hundreds per user per month for AI features. 18:00 – Why AI Costs Are Tied to Energy and Compute Exploring the link between token pricing, electricity usage, and data center demand. 19:30 – Efficient AI Strategies for Small Businesses How to reduce token costs by choosing the right models and controlling API usage. 21:00 – A Smart Way to Test AI in Your Company Why businesses should start with a few AI seats before rolling it out company-wide. 22:00 – Questions Business Owners Should Ask Their Vendors How to review SaaS invoices and understand what you’re actually paying for AI. If this episode made you curious about how much your business is spending on AI, take a few minutes to review your software invoices and AI usage. And if you discover surprising token costs or hidden AI charges, share them with us at weeksahead.ai. We may feature them in a future episode.

#21 - How AI Can Skyrocket Growth In Your Business w/ Tim Hicks

How does AI actually help a construction contractor? In this episode of Weeks Ahead AI, Tim Hicks [https://www.linkedin.com/in/tim-hicks-90559b6/] (T.W. Hicks, Inc [https://www.linkedin.com/in/tim-hicks-90559b6/].) breaks down how AI unlocked faster estimating, better communication, and scalable growth for a service based construction business. In This Episode * What “industrial flooring” really is and why specs are more complex than most people realize * The first AI win that changed everything: estimating speed (hours to minutes) * How AI helped a 60–80 person contractor support 50%+ growth without hiring a bullpen * The “foundation first” approach to AI adoption in a real business * How Slack, Otter AI, Monday.com, and daily reporting create operational visibility * Why small businesses can move faster than enterprise, and win Timestamps * 00:00 Weeks Ahead AI intro and Tim Hicks introduction * 03:00 Tim’s background and 26 years of T.W. Hicks * 06:00 What industrial flooring is, and why it is “hidden” but critical * 09:00 Specs vs reality: intent, budgets, and choosing what actually works * 12:00 Tim’s AI journey begins: forward thinking and the Denton dinner * 15:00 First AI problem solved: estimating, bottlenecks, and standardization * 18:00 The breakthrough moment: an AI button in existing software * 21:00 From 8–10 hours to minutes and what that did to the pipeline * 24:00 Company wide AI workflows: Slack reporting, Otter AI notes, Monday content flow * 27:00 50%+ growth and why AI made scaling easier * 30:00 Job fears vs reality: craftsmanship, Meta glasses, and field visibility * 33:00 Robotics in plants and what Tim is seeing coming next * 36:00 “ChatGPT is yesterday’s news” and why business owners must build structure * 39:00 How to get started: ChatGPT as a thought partner and bottleneck finder * 42:00 Hiring an AI strategist and why owners still must understand their business * 45:00 Small business advantage: “we’re ninjas,” where to find Tim, and closing Links and Resources Mentioned * T.W. Hicks, Inc.: twhicksinc.com [https://www.twhicksinc.com/] * Weeks Ahead AI: weeksahead.ai [https://www.weeksahead.ai/] * Tools discussed: ChatGPT, Slack, Otter AI, Monday.com, Plaud, Meta smart glasses If you are a business owner thinking, “AI cannot help my industry,” this episode is your proof. Start with one bottleneck, one workflow, and one tool. If you want help mapping AI into your business, reach out at weeksahead.ai [https://www.weeksahead.ai/].