If you lead a bootstrapped or funded B2B tech company and need revenue to be predictable, not just possible, this podcast was built for you. Predictable B2B Success is the only show built exclusively for CEOs at seed-to-Series C tech companies who are ready to replace random acts of growth with a scalable, repeatable revenue system from first dollar to $50M+ ARR and beyond. Each week, host Vinay Koshy sits down with elite revenue operators, GTM leaders, and founders who have solved the hardest problem in funded B2B tech: turning chaotic, unpredictable growth into something structural, a system that holds under investor pressure, market shifts, and scale. What you will walk away with every episode: Operating frameworks for building predictable revenue pipelines Real playbooks from founders who have scaled B2B companies from seed to Series C and beyond GTM, RevOps, demand generation, and category design insights built for C-suite decisions, not marketing teams Strategies that compound across your organisation, not one-off tactics that fade Why 500+ episodes and a 5.0-star rating? This is not a show about inspiration. It is a show about operating clarity. Every guest is chosen because they have built systems in sales, content, community, product, or customer success that made revenue predictable. After 500+ episodes, the patterns are unmistakable. This archive is your competitive advantage. Trusted by founders and CEOs at bootstrapped and funded B2B tech companies across SaaS, cleantech, AI, and enterprise software. Rated 5.0 stars on Apple Podcasts. Ranked top 5 B2B podcast by Feedspot (2026). 500+ episodes since 2020. Subscribe now and get a new episode every week, turning your revenue from a moving target into a scalable system. Show notes, frameworks, and transcripts: sproutworth.com Subscribe to The Inclined, the weekly newsletter for funded B2B tech CEOs: sproutworth.com/newsletter Connect with Vinay Koshy on LinkedIn: linkedin.com/in/vinaykoshy
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Predictable B2B Success is a business podcast hosted by Unknown Host, with 552 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Unknown Host hosts Predictable B2B Success, a business show with 552 episodes published.
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Episode #553
Every Software Is an LLM Wrapper, And It Doesnt Matter
Sep 1, 20261h 13m
This episode focuses on the seismic changes AI has brought to business, and what happens when the very foundation a company builds is suddenly available to everyone almost for free. Three years ago, Sembly AI’s Artem Koren predicted that artificial intelligence would become the new “building material” for the enterprise, like carbon fiber for modern aviation. What he didn’t foresee: within 18 months, that material would be commoditized, and everything his team had engineered over four painstaking years transcription engines, smart meeting bots would be accessible out of the box. A key theme that emerged was what truly makes a product defensible and valuable in a landscape where the raw tech is no longer enough. The discussion explored the nitty-gritty difference between a “good enough” AI-generated deliverable and one that can genuinely bear your company’s name. Several points were raised, including the pitfalls of generic outputs, where consistency comes from, and why context and brand are the new moats. Expect insights about the future of work, what AI should (and shouldn’t) be trusted with, and lessons learned from missteps in both pricing and product design. If you’ve ever wondered what you can really put your name on in the age of AI, this episode is for you. Some topics we explore in this episode include: AI’s shift from premium technology to a commodity is reshaping business value. How Sembly AI’s pivot from transcription to client-ready documents brought operational challenges and new lessons. The impact of widespread access to core AI on competition and innovation. What happens when cheap, universally available AI services like transcription disrupt business strategies. Why true product value now depends on branding, context, and completeness, not just the underlying AI. The challenge of building high-quality client deliverables with AI and overcoming platform shortcomings. How smaller players are carving out a niche against AI giants like Microsoft and OpenAI. Why consistency, repeatability, and data traceability are critical for professional AI use. The debate between usage-based versus subscription pricing models for AI products. The importance of ethical boundaries, privacy, and consent when deploying AI in sensitive business decisions.
AI Adoption: 54% of Workers Bypass the Tools You Bought
Aug 25, 20261h 25m
While it may seem your team is not using your new AI tools, they may be leveraging AI in ways you have not anticipated, often outside the systems you have implemented. In this episode of Predictable B2B Success, host Vinay Koshy interviews Tom Gersic, whose experience includes SaaS adoption at Salesforce, large-scale AI deployments in global banks, and, as founder of ux.ai, developing advanced sales tools. Tom Gersic discusses his experience with “Lightning Adoption,” a major initiative that reported directly to Marc Benioff. He examines the shortcomings of traditional adoption strategies, the limitations of customer logo-based targets, and misconceptions about executive sponsorship. Drawing on extensive experience, he provides a candid perspective on why superior products do not always gain traction and why initial enthusiasm for new technology often fades before its value is realized. This episode offers valuable insights for founders preparing for board meetings and revenue leaders seeking to measure the true value of AI. Listen to learn what truly drives and hinders adoption in the current AI landscape. Some topics we explore in this episode include: Product Adoption Strategies : Focus on user workflows, not just product features, to drive real adoption. Monthly Active Users (MAU) as Key Metric : Moving from vanity metrics to MAU for measuring true engagement. User Experience and Performance Issues : How usability and perceived speed barriers affect adoption. Executive Sponsorship : The critical impact of hands-on leadership on rollout success. Hype Cycle and Disillusionment : Persevering through the “trough of disillusionment” when initial excitement fades. Enthusiasm vs. Sustained Adoption : Why excitement isn’t enough for long-term, meaningful use. Shadow AI Use and Governance : Risks of unapproved AI tool use and the enabling role of strong governance. Embedding AI in Workflows : The imperative to deeply integrate AI into daily business processes. Measuring Productivity and Value : Aligning metrics to true business outcomes instead of surface-level activity. AI in Regulated Industries : Unique challenges and lessons from deploying AI in sectors like finance and insurance.
Decision-Making Frameworks: The $56M Call a CEO Almost Got Wrong
Aug 18, 20261h 2m
Imagine making a single decision where the wrong answer could trigger a blackout or put lives at risk. Our guest today, Nissim Titan, is no stranger to this high-stakes environment. As founder and CEO of 4cast, an $8 million decision software company aiming for $30 million. He builds platforms for people whose choices have real-world, sometimes life-or-death consequences: defense units, emergency managers, and utilities. This episode isn’t about tech specs or software demos. Instead, we dive into the art and science of decision-making itself. Nissim Titan reveals how he filters daily noise to focus on what truly drives company goals and revenue, lessons from environments where failure isn’t an option, and why even with AI’s rise, human judgment remains indispensable. You’ll hear stories like how a $56 million price tag can become a bargain and why the biggest bottlenecks in scaling a business might be hiding in plain sight. If your organization’s complexity is outgrowing your ability to decide or you’re curious how leaders pinpoint decisions that move the needle, this episode is for you. Step inside the high-pressure world where the cost of a bad call is measured in more than lost dollars. Some areas we explore in this episode include: Critical decision-making frameworks: How to identify and prioritize key decisions in high-stakes industries. Human versus AI in decision intelligence: Why human judgment remains essential alongside AI. Sales and scaling challenges: Analyzing bottlenecks like sales execution and delivery. Data quality in AI recommendations: Why accurate source data is crucial for reliable outcomes. Enterprise sales cycle strategies: Shortening long cycles with proof-of-value projects. Partner-driven growth: The dynamics and challenges of selling through major partners. Product adoption and onboarding: Ensuring new tools provide value and get used. Lessons from crisis behavior research: Applying crowd behavior insights to planning. Scaling beyond founder-led sales: Moving to consultant and partner networks to grow. Explaining and justifying big investments: Helping leaders understand and act on large financial decisions.
Why B2B Deals Arent Lost on Price: Theyre Lost on Strategy
Aug 11, 20261h 25m
Most B2B tech founders blame lost deals on price, but what if that is rarely the real reason? In this episode of Predictable B2B Success, host Vinay Koshy speaks with Alex M.H. Smith, author of "No Bullshit Strategy" and founder of Basic Arts, to challenge common misconceptions about strategy, value, and what it takes to create breakthrough growth. Alex highlights a fundamental problem in the industry: most companies think they have a strategy but are really just chasing goals and optimizing tactics. The result is unpredictable revenue, generic messaging, and a business indistinguishable from competitors. He explains why improving sales, marketing, or even product execution rarely delivers lasting results, and how the real issue starts upstream, in the strategic fog lingering at the very top of the organization. Alex explains why being “better” is never enough, why distinctiveness trumps marginal improvements, and how even funded startups must make the uncomfortable choice to be the only, not merely the best option for their market. If you want to break out of the "vortex of mediocrity," rethink your company’s value, and create lasting advantages, this conversation is your invitation to see B2B strategy in a totally new light. Some topics we explore in this episode include: Lost deals and unpredictable revenue are caused by poor differentiation, not price. Most companies confuse goals with real strategy. The ‘better trap’: Trying to outdo competitors instead of being unique. Strategic fog at the top leads to confusion in sales and marketing. Effective strategy requires motivating and aligning the team. B2B value creation is complex with different stakeholders to satisfy. Unique value often comes from non-product advantages. Strategic breakthroughs happen in informal conversations, not workshops. Deliberate weakness enables standout strengths and focus. Leaders must relentlessly communicate strategy as companies grow.
Deflection Rate Is the Wrong AI Metric. Heres What Replaces It
Aug 4, 202644 min
If your company has implemented a chatbot or AI agent in the past two years, you may be focusing on the wrong objectives, potentially resulting in significant revenue loss. In this episode of Predictable B2B Success, we interview Dvir Ginsberg, founder and CEO of Encore, whose innovative approach challenges traditional AI deployment strategies. Many organizations rely on deflection rate, which measures how many customers an AI handles without human intervention. However, as Dvir Ginsberg explains, this metric can undermine customer satisfaction and obscure growth opportunities. Focusing solely on deflection rate overlooks more meaningful outcomes such as conversion and value. Encore’s approach, known as “interaction mining,” analyzes real customer conversations before any automation occurs. This process uncovers hidden revenue, process gaps, and compliance risks, enabling AI to learn from top human performers and deliver more effective results. This episode examines how compliance concerns differ across industries such as finance, retail, and manufacturing. It also explores the distinction between chatbots that only “sound” human and those that truly “act” human. We outline essential steps every business should take before their next AI rollout and offer new perspectives on achieving AI success. Some topics we explore in this episode include: Deflection rate as a flawed metric Importance of interaction mining Revenue leakage from missed opportunities Training AI on top performer behaviors Compliance and liability risks of AI Shortcomings of prompt-based deployment AI unlocking new business models Need for continuous post-launch improvement Regulation accelerating AI adoption Organizational and cultural change for AI success
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