Predictable B2B Success

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.