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What happens when a small team inside a $1.5 trillion bank has to turn cutting-edge AI and quantum research into governed, production-grade outcomes? Kristin Milchanowski, Chief AI & Quantum Officer and Founding Director of the BMO Institute for Applied AI & Quantum, joins the show to explain how her lean team drives operating leverage at scale... without adding headcount. Kristin shares how BMO measures every AI initiative against business value before a single dollar is budgeted, why trust inverts with generative AI (your system's best month can become your most dangerous), and how scheduling doubt is now a leadership discipline she's brought to the U.S. Army. From a peer forum of 18 Chief AI Officers to the principle that governance is the steering wheel — not the brake — this episode is a playbook for anyone running a focused team inside a massive org. What you'll learn: How BMO converts AI research into trusted business value with a small team inside a $1.5T organizationWhy trust inverts with generative AI — and why your system's best month can become your most dangerousThe principle that governance is the steering wheel, not the brake, and how embedded governance actually accelerates adoptionWhy Kristin schedules doubt as a discipline, and how challenging agreement is now a leadership essentialHow BMO's peer forum of 18 Chief AI Officers is creating shared responsible AI principles across the banking sectorLinks: Kristin Milchanowski on LinkedInBMO Financial GroupSmall Team Big Scale PodcastSubscribe to Small Team Big Scale: scalebrate.com/podcast

Guillaume Moubeche started Lemlist with $1,000 and 30 VC rejections. Five years later, his company Lempire hit $57M ARR with 40% EBITDA margins and zero outside funding. He closed the first 100 customers himself in year one through self-prospecting, built a community that became his growth loop, and sold secondary shares in 2021. In this episode, Guillaume breaks down how "eating your own dog food" became a compounding growth engine, why revenue is a lagging indicator, and how he transitioned from CEO to chairman while building an employee equity model designed to create millionaires. He also shares why valuation numbers mislead and what he's investing in through Clifton Family Office. What you'll learn: How self-prospecting landed the first 100 customers with zero sales teamWhy growth loops beat paid acquisition — and how Lemlist's community became the engineRevenue is a lagging indicator: why what you do now shows up six months laterThe trust triangle: credibility, reliability, and emotional connection in founder-led growthFrom CEO to chairman: how Guillaume structured employee equity to create millionairesLinks: Guillaume Moubeche on LinkedInLempireLemlistSmall Team Big Scale PodcastSubscribe to Small Team Big Scale: scalebrate.com/podcast Supported by Zapier

Hoda Helmi started as a team of one inside Corteva Agriscience — a $17.4B agricultural company with 21,500 employees across 110 countries — and built an AI and decision-science practice that now shapes how the enterprise makes its most consequential decisions. She didn't start with a data platform or an AI lab. She started with one decision and built outward. She introduces the "digital decision twin" — a living model of enterprise decisions, constraints, and possible futures — and explains why starting with the decision (not the data) is the fastest path to measurable value. Along the way, she shares the Name, Fame, Same, Aim, Game framework for introducing yourself and your work, the franchise model for scaling small teams inside large organizations, and why asking the right questions beats knowing all the answers. What you'll learn: Why decisions — not data or tools — are the true leverage point for scaling teams How to build a digital decision twin that models enterprise decisions and constraints The Name, Fame, Same, Aim, Game framework for introducing yourself and your work Why starting with one consequential decision beats building a massive platform How to balance operating model structure with team flexibility and innovation Links: Hoda Helmi on LinkedIn Corteva Agriscience Small Team Big Scale Podcast Subscribe to Small Team Big Scale: scalebrate.com/podcast

Collin Stewart built Predictable Revenue on Aaron Ross's legendary Salesforce cold calling 2.0 playbook — then pivoted to go-to-market consulting because the outsourcing work didn't align with what founders needed. Now he helps small teams build outbound sales engines that don't depend on the founder, and is launching predictable.ai to codify those plays. He introduces the 10/2 gap framework (importance vs. satisfaction) that reveals whether a problem is worth building a company around, explains the "day in the life" customer development interview, and shares why "closed lost" should never exist in your CRM. What you'll learn: Why customer development should continue past product-market fit — don't stop asking for feedback at $1M ARR The 10/2 gap: find high-importance, low-satisfaction problems worth building around How to turn customer discovery calls into a natural sales pipeline without bait-and-switch Why "closed lost" is a myth — replace it with closed nurture and Follow-Up Fridays The biggest startup killer: premature go-to-market scale before you know your real customers Links: Collin Stewart on LinkedIn Predictable Revenue Founders Edition Newsletter The Terrifying Art of Finding Customers Subscribe to Small Team Big Scale: scalebrate.com/podcast

A 12-person data science team driving AI transformation across a $50B+ global conglomerate. Shashank Kadetotad, Global Sr. Director of Enterprise Data Science and AI at Mars, reveals how his lean team accelerates outcomes across hundreds of brands by building composable "accelerator" modules, defining criteria for failure before they start, and staying vendor-agnostic in a rapidly shifting AI landscape. Shashank shares how Mars went from weeks-long deployments to days using standardized forecasting and optimization accelerators, why governance is the biggest enabler of scale rather than a bottleneck, and how the AI Lab they built provides a safe space for experimentation with built-in failure criteria. From pizza-team principles borrowed from Amazon to the discipline of killing pilots early, this episode is packed with practical lessons for any team trying to punch above its weight. What you'll learn: How a 12-person AI team serves an organization of 100,000+ across supply, demand, finance, and HRWhy governance is your biggest enabler of scale, not a bottleneckThe "accelerator" approach: 15 reusable Lego blocks that cut deployment time from weeks to daysHow defining failure criteria upfront prevents pilots from dragging on for yearsWhy staying vendor-agnostic and systematizing processes is the key to long-term AI adaptabilityLinks: Shashank Kadetotad on LinkedInMarsSmall Team Big Scale PodcastSupported by: This episode is sponsored by qBotica — helping enterprises move beyond AI pilots and into real execution. Through qubi, its Agentic AI platform, qBotica brings together intelligent agents, automation, enterprise systems, and human oversight to transform complex workflows across healthcare, banking, insurance, real estate, and more. Learn more at qBotica.com → Subscribe to Small Team Big Scale: scalebrate.com/podcast

MacPaw built 15 products with ~500 people and zero venture funding. Co-founder Vira Tkachenko started in a Kyiv dorm room in 2008 and now leads technology and innovation across a multi-product portfolio that includes CleanMyMac and Setapp — proving a lean team can scale globally from Ukraine. Vira explains why MacPaw invests in AI tokens instead of headcount, how the company went from 5 people to 200 engineers, why B2C founders struggle to raise money compared to B2B, and the counterintuitive advice to be a co-founder rather than a solo founder because diversity of thought beats AI agreement every time. What you'll learn: How MacPaw grew from 5 co-founders in a dorm to ~500 people across 15 products with zero VC fundingWhy MacPaw now invests in AI tokens over new hires — keeping headcount flat while scaling outputThe B2C funding challenge: why investors favor B2B and how MacPaw stayed profitable from day oneHow starting globally from Ukraine shaped a bootstrapped company selling to 100+ countriesWhy "be a co-founder" is Vira's top advice — diversity of thought beats solo founder ambitionLinks: MacPawVira Tkachenko on LinkedInCleanMyMacSetappSubscribe to Small Team Big Scale: smallteambigscale.com/podcast

Geoff Roberts, Co-founder of Outseta, has built a profitable seven-figure business serving over 1,000 SaaS companies with a team of just five people working four to five days a week, all without taking a dollar of outside funding. In this episode, he explains how Outseta's unusual equal-compensation model and Growth by Elimination philosophy keep the team small, focused, and profitable over a 15-year horizon. Geoff shares why Outseta deliberately chose bootstrapping over venture capital, how eliminating management layers and traditional sales actually accelerated growth, and how existing customers organically moving through pricing tiers drove 70% year-over-year revenue growth. The conversation covers the organizational structure designed to let five people build an ambitious platform product, the philosophy of "life profitability," and what it means to work on something durable enough to sustain a 15-year commitment. What you'll learn: How a team of 5 people built a profitable 7-figure SaaS platform without venture capitalWhy Outseta's equal salary and equity model was designed to keep the team small over 15 yearsHow Growth by Elimination — removing investors, management, sales, budgets, and forecasts — actually accelerated revenue growthWhy 70% year-over-year growth came from existing customers expanding, not new customer acquisitionHow Outseta provides "core feature parity" across UI, API, and AI agentsWhat "life profitability" means and why work should enable a better life, not consume itLinks: OutsetaGrowth by EliminationOutseta Equal Compensation ModelPayment Structure & Organizational DesignSeven-Year UpdateNine-Year Update (Equity, Expenses, Growth)SaaS Operating AgreementGeoff Roberts on LinkedInOutseta on LinkedInSubscribe to Small Team Big Scale: smallteambigscale.com/podcast

Muriel Touati, Founder & CEO of Exit 3D Studio, has reviewed over 100 acquisition deals — and the pattern is clear: most founder-dependent businesses sell for 1–3x revenue instead of 4–6x. In this episode, she breaks down the Valuation Gap and shows how small teams can close it by building decision leverage, not just operational leverage. Muriel shares what buyers actually look for, why predictable revenue is the foundation for acquirability, and how systematizing decisions — not just tasks — transforms a founder-dependent operation into a transferable asset. Her new book "The Valuation Gap" launches July 27, the day after this interview. What you'll learn: Why founder-dependent businesses consistently sell for 1–3x instead of 4–6xHow to build decision leverage that reduces dependence on any single personWhat acquirers actually evaluate in 100+ deal reviews — and what most founders missHow predictable revenue systems create transferable business valueThe difference between operational leverage and decision leverage in scaling teamsFree resources: exit3dstudio.com/scorecard and exit3dstudio.com/the-valuation-gapLinks: Exit 3D StudioThe Valuation Gap (first chapter free)Business ScorecardMuriel Touati on LinkedInExit 3D Studio on LinkedInExit 3D Studio on YouTubeSubscribe to Small Team Big Scale: smallteambigscale.com/podcast

Mahesh Vinayagam, Founder and CEO of qBotica, joins Ron Schmelzer to discuss how a team grew from just 3 people to deliver enterprise-grade agentic AI and automation to Fortune 500 companies and government agencies. With 335% revenue growth and a Deloitte Technology Fast 500 ranking, qBotica has evolved from traditional RPA services into a full Agentic AI platform — and Mahesh's founder journey embodies the Enterprise Intrapreneur playbook for building leverage products at scale. From RPA to autonomous AI agents, Mahesh shares why enterprise AI initiatives stay stuck in pilots, how small teams can use AI agents and automation to dramatically expand their capacity, and what he's learned about building a global company with a "bold, deep, and kind" culture. Whether you're selling automation to enterprises or looking for ways to productize your own leverage, this episode reveals how qBotica turns service delivery into a scalable platform. Key Takeaways Why enterprise AI initiatives get trapped in pilot mode — and what it takes to move them into productionHow qBotica grew 335% by productizing automation expertise into Qubi and DoqumentAIThe journey from RPA services to Agentic AI — and what it means for lean teamsSelling to Fortune 500 enterprise buyers with a ~200-person teamHow qBotica uses its own AI agents internally to deliver more with lessBuilding a global "bold, deep, and kind" culture while scaling rapidlyWhat Automation as a Service looks like as a business model for leverageLinks and Resources qBotica websiteQubi Agentic AI PlatformqBotica NewsroomMahesh Vinayagam on LinkedInRequest a Conversation or DemonstrationqBotica offers qualified Small Team Big Scale listeners a complimentary 30-minute Agentic AI Opportunity Assessment. The discussion helps identify 1–2 operational workflows where AI agents and automation could create measurable capacity, efficiency, or customer-experience improvements. Use the qBotica contact page and mention the podcast when submitting your request. Subscribe: scalebrate.com/podcast

Every decision you're making right now carries a six-figure price tag, and you're making most of them alone. Whether you're a founder at $2-10M or a team lead inside a larger org, the wrong hire, the wrong pivot, the wrong tooling bet, or the wrong reorg can each cost you $100K+ in time, money, or momentum. Ron Schmelzer explains why your peer set is broken at this stage: pre-revenue founders can't relate, VC-backed founders play a different game, and corporate peers don't share your trade-offs. The real product is decision quality and peer access. What happens when we stop making these decisions blind? Decision quality improves when someone pressure-tests your reasoning. Decision drag decreases when you're not carrying the weight alone. And the leaders who break through are the ones who understand that the real product at this stage isn't a framework or a playbook, it's peer-calibrated, stakes-matched, relevant advice from people who've walked the same path. What you'll learn: Why $100K+ decisions are the norm at $2-10M: and inside any small team in a big orgFour categories of expensive decisions: hires, pivots, tooling bets, and reorgsHow the peer set gap leaves founders and team leads making consequential calls aloneWhy decision quality improves when someone pressure-tests your reasoningHow decision drag slows you down and peer calibration speeds you upLinks: ScalebrateSmall Team Big Scale PodcastRon Schmelzer on LinkedIn

Your team grew. Budget grew. But output per person stayed flat ... or declined. That's the leverage leak, and it hits every small team regardless of what metric defines success: revenue, sprint velocity, OKR attainment, or budget efficiency. Ron Schmelzer maps four places where leverage leaks: leaders doing low-leverage work, hires that duplicate effort instead of removing it, tooling debt (especially when you're stuck with enterprise tools), and overhead that scaled because it could. This episode is for anyone running a small team: founders, directors, engineering leads, product managers who feels the gap between headcount and results. WHAT YOU'LL LEARN: • Why bigger teams often produce less per person ... and it's not an effort problem • Four leverage leak categories that apply to any metric, not just profit • How leaders doing delegable work becomes the #1 drag on team output • Why duplicative hires create invisible redundancy that kills velocity • The embarrassment nobody names, and why naming it is the first step to fixing it LINKS: • Scalebrate: https://scalebrate.com • Small Team Big Scale Podcast: https://scalebrate.com/podcast • Ron Schmelzer on LinkedIn: https://www.linkedin.com/in/rschmelzer/

You hired the team. 5, 10, 15 people. Revenue grew. But every meaningful decision still lands on your desk. The team runs the business, but you drive it, and that's the bottleneck hiring was supposed to fix. In this episode, Ron Schmelzer reframes the founder-bottleneck as a leverage problem, not a hiring problem. Hiring solved execution drag but created decision drag. The bottleneck moved from "you doing the work" to "you deciding what work gets done." Using the Scalebrate Leverage Framework: Systems, Team Output, Revenue Architecture, and Time Autonomy, Ron walks through why adding headcount doesn't create output multiplication, and what leverage-first scaling actually looks like. This is Episode 2 in a 4-part solo discovery series. No experts with all the answers, just operators living it. If you're a $2-10M founder still making every call, this one's for you. What you'll learn: Why revenue per employee goes down after your first hires — and what that signal meansHow hiring solves execution drag but creates decision dragThe Leverage Framework: four dimensions that multiply output without multiplying headcountWhy systematizing decisions matters more than systematizing tasksHow revenue architecture determines whether growth is linear or leveragedTime autonomy: recovering hours isn't enough — you need systems that run without youThe discovery ask: what operational fire do you re-fight every month? Links: Scalebrate: https://scalebrate.comSmall Team Big Scale Podcast: https://scalebrate.com/podcast

$2M ARR. 2 People. 70% Margin. And I still got leverage wrong. Ron Schmelzer built ZapThink to $2M ARR with just 2 people and 70% margin, the kind of high-leverage small-team business every SMB founder wants. But when he looks back honestly, the numbers masked real problems: founder bottleneck, unsystematized decisions, and operational drag that the margin ratio hid. In this solo episode, Ron breaks down what actually produced that leverage, what leaked even at 70% margin, and why he's rebuilding the question from scratch, talking to founders running $2-10M companies right now, in this market, with these tools, instead of leaning on a playbook that's 10+ years stale. This is the first in a 4-episode solo discovery series where Ron is figuring out what operational fires $2-10M SMB founders re-fight every month. No experts with all the answers, just operators living it. The headline numbers ($2M ARR, 2 people, 70% margin) were real: high margins, tiny team, domain expertise as moat, operator-led growth produced genuine leverageWhat went wrong: Ron was still the bottleneck despite the team size, decisions weren't systematized, and operational drag was masked by impressive unit economicsThe market, tools, and decision stakes have changed fundamentally in 10+ yearsThe discovery frame: asking current SMB founders what they re-fight every month, building the question from real conversations instead of assumptionsScalebrate · Small Team Big Scale Podcast · Ron Schmelzer on LinkedIn Subscribe to Exponential Scale: scalebrate.com/podcast

Presented by Zapier, the AI automation company Kirk and Jacob McKinney bought a $4,000 pickup truck in 2021 and turned it into a $3 million junk removal business — Junk Teens — while still in high school. No funding, no tech platform, no professional crew. Just two brothers, local teens, and a refusal to dump everything in a landfill. They hit $120,000 in year one with a single truck, rebranded to Junk Teens in 2022, and now run 8 dump trucks with over 35 people doing 40–50 jobs a day. In this episode, the McKinney brothers break down how they use GoHighLevel + Jobber and built a custom internal app to manage hundreds of daily leads, why their first $600,000 came from zero paid ads, how repurposing and donating items instead of dumping became a competitive edge, and why running lean forces better systems. What you'll learn: How two teenagers hit $120K in year one with a $4,000 pickup truck and zero fundingWhy their first $600,000 in revenue came entirely from word of mouth and referralsThe back-office stack — GoHighLevel, Jobber, custom app, QuickBooks — that runs 40–50 daily jobsHow donating and repurposing items instead of dumping became a brand and cost advantageWhy running lean forces you to build better systems before you scaleDump fees range from $200+/ton in Massachusetts to $30/ton in Florida — what that means for expansionPivoting with momentum beats planning for months and never starting Links: Junk TeensKirk McKinney on LinkedInJacob McKinney on LinkedInSubscribe to Small Team Big Scale: scalebrate.com/podcast

Presented by Zapier, the AI automation company Startup job creation peaked at 7.9 jobs per 1,000 people in 1997. Today it's 5.3 — a 33% decline — even as startup formation hits record highs. Donna Harris, CEO of Builders + Backers and six-time entrepreneur with multiple exits, joins the show to explain why "more startups = more jobs" is no longer true, and why that might be the signal small-team founders have been waiting for. Donna breaks down Kauffman Foundation's latest data showing entrepreneurship is broadening while job creation per startup is falling, why people without a high school diploma now start businesses at 2× the rate of college graduates, and how AI is accelerating a shift the ecosystem infrastructure hasn't caught up with. She argues we should optimize for durability — not just quantity — and that the next era belongs to lean, leverage-first teams. What you'll learn: Why startup job creation dropped 33% since 1997 even as new business formation roseThe data flaw: gig workers and solo founders inflate "startup" counts while employer-firm jobs keep shrinkingWhy people without a high school diploma start businesses at 2× the rate of college graduatesHow AI makes business-building tools dramatically more accessible for solo foundersWhat ecosystems should optimize for instead of raw startup quantityWhy durability — not venture scale — should be the new startup metricLinks: Builders + BackersBuilders Field Guide (Substack)Donna Harris: "More Startups. Fewer Jobs."Donna Harris on LinkedInDonna Harris on XKauffman Foundation: Rate of New Entrepreneurs