Predictable B2B Success

Why do customers who praise your demo end up not buying? In this striking episode of Predictable B2B Success, Vinay Koshy interviews Dan Mosher, CEO and co-founder of DealGround, about the awkward gap between using a state-of-the-art product and trusting it when it really counts.

Since Dan Mosher knows the kind of thing it takes to gain a foothold in difficult markets, having been involved in growing companies such as Postmates, Brightroll, and Presto, and usually getting there a bit too early, he is now addressing the trust gap in commercial real estate, a field in which agents enjoy using AI tools but seldom actually use them to close deals.

In this episode, you'll learn why many excellent products stall at the "pilot" stage and what shifts a customer's mindset from curiosity to confidence. You'll learn how Dan Mosher turned a deeply skeptical person into a fan in just one demonstration, and why building trust has nothing to do with features and everything to do with reframing expectations, embracing failures, and quickly bringing forward the "aha!" moments.

If you're struggling with market timing, finding it hard to turn trials into trust, or considering your own move from a corporate job to startup life, you won't want to miss the practical advice and hard-earned lessons in this discussion.

Some topics we explore in this episode include:

• Why B2B buyers use but rarely trust AI and what flips the switch
• The double standard: Human error vs. AI mistakes in business decisions
• How AI hype sabotages adoption and how to set expectations that build trust
• Where commercial real estate agents actually waste the most time
• Turning product demos into “aha” moments that change hardened minds
• Walking the privacy line: When valuable data becomes “too personal”
• Leveraging strategic partnerships to punch above your startup's weight
• Accuracy promises: How to win deals without overpromising on AI
• Why startups fail when tech builds for industries they don't understand
• The first 90 days: How smart leaders validate ideas before leaving their day job

So why do so many medical device startups fail to account for a danger that could bring their whole business crashing down? In this episode of Predictable B2B Success, Vinay speaks to Christian Espinosa, the founder of Blue Goat Cyber, about the little-known aspects of cybersecurity in the medtech field a risk that is so badly underestimated that even the best industry articles and founder discussion forums fail to touch on it. Nevertheless, Christian Espinosa has built a successful, bootstrapped business by charging as much as $150,000 per engagement to address this oversight, having supported more than 250 FDA submissions in the process.

Why is cybersecurity still treated as something added at the end rather than an essential part of device design? What are the consequences when a shortcut costing $5,000 turns out to cost $500,000? How do you achieve steady revenue and provide a written guarantee on your website when prospects only realize they need you after regulators have said "no"?

Vinay puts Christian Espinosa on the spot on pricing, positioning, industry reactions, and lessons from a previous exit that went wrong. If you care about security, entrepreneurship, or overcoming market indifference, you won't find this point of view anywhere else. Listen in for valuable insights under pressure, useful takeaways, and a frank look at the challenges facing the overlooked medtech sector behind the scenes.

Some topics we explore in this episode include:

• An invisible threat that few startups discuss: why is cybersecurity omitted from the vast majority of medtech failure post-mortems, and might your industry be ignoring a similar risk?
• The demand for things that no one is actually buying: how do you promote a solution for CEOs who don't (at this stage) think they need it? Learn about unorthodox methods to build awareness and create urgency.
• What really occurs when essential compliance work is delayed until the 11th hour? Regulatory surprises that cause product launches to fail
• Can you carry out bold positioning campaigns without losing sight of your company's values?
• Why will some customers pay 20 times as much in a commodity market, and how can you design your offerings so that competitors can't realistically match them?
• Security (or indeed any technical service): could the actual value lie in the paperwork that goes uncredited?
• How failing to address security early can blow up your timeline: a real account of thousands of vulnerabilities discovered right before launch. When is your 'oh no' moment?
• Should you assess risk based on what matters most to your customers, or are you merely following industry dogma?
• Can offering your best tools for free generate more leads than lead magnets and email campaigns?
• What would you do differently if you had trusted the wrong people to be promoted, or if you realized that your highly praised exit had, in fact, not been a success?

You've seen the report saying organized retail crime is causing serious damage to stores and behind almost half of all inventory losses. Yet what if that idea is nothing more than a myth? In this episode, Vinay invites Russ Hawkins, president and CEO of Agilence, someone who has, for nearly twenty years, assisted retail, grocery, and restaurant chains in identifying the true causes of loss, which are often overlooked and hidden in plain sight.

Russ Hawkins uses concrete figures and industry insights to refute the stories that have long shaped loss prevention priorities. He shows that losses from employee theft and operational mistakes exceed those caused by high-profile professional theft rings, and explains how companies can use their current data to identify leaks they weren't aware of.

You'll get honest accounts from the front lines regarding the surprising situations that arise when you ask your competitors for advice, how to redevelop a product around AI without losing the trust (or the contracts) of its 180 enterprise customers, and what actually changes when a company "graduates" from venture capital to private equity.

This is an eye-opening masterclass on finding growth and resilience when others aren't even looking, whether you run a multi-location chain or a B2B software business aiming for steady growth.

Some topics we explore in this episode include:

• The facts about retail shrink and why industry myths persist.
• How Agilence tackles invisible losses like employee theft and errors.
• Unexpected insights from interviewing competitors.
• The difficulties involved in moving from hardware to SaaS and in selecting cloud partners.
• What truly enables a business to be scalable and what prevents growth.
• How to demonstrate return on investment when industry data is not trustworthy.
• Rethinking customer success to increase retention and loyalty.
• The process of turning software into modules: lessons concerning upselling and pricing.
• Introducing AI to an established product without disrupting what's already working.
• The actual effect of switching from venture capital to private equity.

Imagine establishing a successful and profitable B2B software business serving hundreds of customers in more than 25 countries without using paid advertisements, making sales calls, running referral programs, or securing venture capital. That is what Varun Jain, co-founder and CEO of ComplyJet, aims to demonstrate. In this episode of Predictable B2B Success, Vinay Koshy examines a bold "subtraction" approach: eliminating certain channels, turning down large enterprise deals, stopping discounts, and focusing entirely on content-driven growth.

As Varun Jain makes clear, their path has been neither traditional nor straightforward. To maintain velocity, they declined deals worth more than $50,000, chose transparency over sales tactics, and built customer trust in an environment where no one publishes retention figures. We will examine the cost of serving each customer, reveal how they cut the sales cycle in half while increasing deal size, and explain how the founders spend up to 30% of their time providing direct customer support.

Could this bold, focused strategy achieve the hard-to-reach goal of 1,000 customers without sacrificing margins or service? Listen as we examine ComplyJet’s revenue engine and discover what can be accomplished by choosing what you won't do to attain 1,000 SaaS customers by means of content alone, without using any advertisements, partners, or referral programs.

Some topics we explore in this episode include:

• What was the reason why Varun Jain risked everything by subtracting products, channels, and segments rather than adding more?
• What does a marketing channel need to prove to ComplyJet before it is scaled? Do experiments and data suffice?
• What is the result when you choose to reject large enterprise contracts in order to concentrate on speed and efficiency?
• How will ComplyJet cope with sudden spikes in support demand, and can its well-known quick responses to customers be maintained at scale?
• How can transparent pricing and careful use of AI maintain strong gross margins even if there is no funding?
• What is it about ComplyJet's sales cycle that is making it shorter when those in the industry are seeing theirs lengthen—and how are they managing to maintain high deal conversion rates?
• What is the real cause of customer churn in the SaaS sector when it comes to early-stage customers, and why doesn't Varun Jain pursue every dollar?
• How can a nine-person software company win the trust of large enterprises in a sector built on credibility?
• Isn't the future of B2B security buying already upon us, with AI handling trust and compliance negotiations rather than people?

Is everything you know about software pricing about to change? In this episode of Predictable B2B Success, Vinay Koshy interviews Kevin Surace, tech innovator, CEO of Appvance, and inventor with patents licensed by Apple and Amazon. They discuss why the per-seat SaaS model is becoming obsolete and what is replacing it.

Find out how Kevin Surace navigated the transition from seat-based pricing to results-based models, tackling the psychological and organizational challenges businesses face. By citing examples from billion-dollar companies, AI-native platforms, and his own investments, Surace shows that selling 'outcomes' has become an essential ability for B2B software companies.

Why do the majority of companies weaken their own AI launches? What questions should you put to a company that describes itself as "AI native"? If the future of software is going to be a simple text box, what becomes of the current complex interfaces and the jobs associated with them?

If you are a founder who is having problems with pricing or who would like to know how AI is changing business, then you should join us to find out why an outdated business model might be the greatest risk in the SaaS industry today.

Some topics we explore in this episode include:

• Why moving away from per-seat pricing is essential to future-proof your business.
• How to implement outcome or usage-based models: Pricing based on measurable business value or actual use can better align your offerings with customer needs.
• How AI can automate QA: Leveraging AI reduces manual work and costs in software testing while increasing efficiency.
• How to deal with resistance from an organization: Study the methods for managing and overcoming fear-driven opposition from those teams affected by automation.
• To win the support of executives: Focus on executive leaders to accelerate acceptance of transformative AI solutions.
• How to distinguish true AI from "AI washing": Use practical questions to identify genuine AI products versus imitators.
• Set a benchmark for productivity equal to ten times the current level: make sure that investments in AI result in significant and measurable improvements by setting a goal of achieving a tenfold increase.
• Leveraging the Right Market Timing: Know when the market is ready for your innovation so you don't launch it too early or too late.
• Embracing Next-Generation Interfaces: Plan for future product positioning by considering AI-powered, natural-language, or on-demand interfaces.
• Practical steps for SaaS founders to develop and implement new pricing strategies that capture customer value and protect revenue by incorporating customer feedback.

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.

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.

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.

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.

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