We’ve mapped the broken sales process — and shown the blueprint for fixing it. Now it’s your turn. In this final episode, Kevin Kunz brings it all together and issues a call-to-action: join us in building Hyvara.ai. Hear the full vision, see the business case, and learn how you can help shape the future of enterprise selling.

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What if leadership had real visibility? What if enablement happened in the flow of work? What if expansion opportunities were spotted before churn set in? This episode explores how Hyvara’s final Hives empower leaders, develop teams, map complex stakeholders, and grow accounts — building long-term revenue, not one-and-done wins.

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Deals don’t end at the signature — they often fall apart before or after it. In this episode, we tackle broken handoffs, painful RFPs, and the lack of intelligence flowing back to product. You’ll hear how Hyvara.ai fixes transitions, speeds RFPs by days, and captures competitive and feature insights that fuel the roadmap.

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Too many voices. Not enough clarity. We’ve all been there. This episode dives into how Hyvara reduces bloated calls, proves technical value, and ties it all back to business impact. Learn how to cut SME overload, streamline proofs, and lock in metrics that matter — so you can win the room without wasting the team.

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Blind calls. Wasted hours. Missed questions. In this episode, we explore how Hyvara.ai changes the game at the very start of the sales cycle. From smart research that preps every AE, to sharper qualification that cuts dead deals fast, to discovery that uncovers what really matters — this is where momentum begins.

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After four episodes unpacking the ugly truth of today’s enterprise sales process — the broken discovery, the wasted SME hours, the lost context in handoffs — Episode 5 becomes the bridge. This is where Kevin kunz takes listeners from problem mode into solution mode. Instead of just circling on inefficiencies, he introduces the idea of a new way forward: intelligent hives that listen, learn, and support sales without the endless human overhead. Episode 5 sets the stage for the pivot into Hyvara.ai by showing how technology can replace chaos with clarity — and why the next chapter isn’t about adding more tools, but creating one intelligent system that connects them all.

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Once the ink dries, the real work begins. Implementation and Customer Success often stumble because they don’t know why the customer purchased in the first place. Professional Services re-ask discovery questions, CSMs start from scratch, and the customer feels like the vendor doesn’t talk to itself. In this episode, Kevin kunz exposes the hidden churn risk that happens after the deal is closed — and shares how Hyvara.ai’s Transition and Value Assessment Hives keep the customer journey connected, the success metrics alive, and the expansion opportunities visible from day one.

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• $400,000 telecom, $300,000 retail, $500,000 financial services losses: Estimated from enterprise sales misalignment trends. https://www.kalungi.com/blog/saas-churn-rate
• $50,000–$100,000 SE time, $1,500–$2,250 rework: Calculated from 10–15 hours at $150/hour, SaaS discovery inefficiencies. https://www.poweredbysearch.com/blog/b2b-saas-churn-rate-benchmarks/
• $250,000 pilots, $500,000–$1 million implementations, $2–$4 million annual loss: Approximations from SaaS cost trends. https://www.scalexp.com/post/saas-benchmarks-2023-part-4-revenue-retention
• 20–30% churn, $2–$3 million ARR: SaaS churn benchmarks for B2B. https://www.vitally.io/post/churn-rate-benchmarks-b2b-saas-2025
• $240,000 SE time, $180,000 AE time, $75,000 turnover: Calculated from 20% SE time, 15% AE time at $120–$150/hour, 10% turnover. https://zylo.com/blog/111-saas-statistics/
• 15–20% CAC increase, $50,000–$100,000, 10–15% renewal drop, $1–$2 million: SaaS retention metrics. https://www.gong.io/blog/saas-churn-rate/

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Enterprise presales teams know the struggle—burned hours, wasted deals, and RFPs that drain resources with little return. In this episode, we break down the hidden costs of sticking with the status quo. From unqualified pipeline waste to enablement gaps and SME burnout, you’ll hear the numbers behind the pain—and why ignoring them is costing companies millions.

 We’ll also frame how Hyvara is designed to flip that equation: qualifying faster, aligning AEs and SEs, and reclaiming hours that can be invested back into innovation and growth.

Data Sources:

• 30% deal loss, $3 million: SaaS pipeline analyses for enterprise software. https://www.benchmarkit.ai/post/2024-saas-performance-metrics
• $1–$2 million customer lifetime value, $700,000 reputation loss: SaaS industry benchmarks for B2B retention. https://www.gong.io/blog/saas-churn-rate/
• 20–30% churn, $2–3 million ARR: SaaS churn metrics for high-value contracts. https://www.vitally.io/post/churn-rate-benchmarks-b2b-saas-2025
• $200,000–$400,000 deal losses, $1,500–$2,250 rework: Estimated from discovery inefficiencies in enterprise sales. https://www.kalungi.com/blog/saas-churn-rate
• $250,000 pilots, $500,000–$1 million implementations, $2–$4 million annual loss: Approximations from SaaS cost trends. https://www.scalexp.com/post/saas-benchmarks-2023-part-4-revenue-retention
• $75,000 turnover, $750,000 team cost, $240,000 AE coordination: Calculated from 10% turnover, 20% AE time at $120–$150/hour. https://zylo.com/blog/111-saas-statistics/
• 15–20% CAC increase, $50,000–$100,000, 10–15% renewal drop, $1–$2 million: SaaS retention metrics. https://www.poweredbysearch.com/blog/b2b-saas-churn-rate-benchmarks/

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Data Sources:

• Platform complexity (5–7 specialists): SaaS sales team structure trends. https://www.benchmarkit.ai/post/2024-saas-performance-metrics
• Sales motion failures (no intro/agenda, poor discovery, AE punt): Enterprise sales best practice gaps. https://www.kalungi.com/blog/saas-churn-rate
• Qualification failures (BMANTR/MEDDPIC): SaaS discovery inefficiencies. https://www.poweredbysearch.com/blog/b2b-saas-churn-rate-benchmarks/
• Operational/HR challenges (onboarding, burnout): SaaS workforce metrics. https://zylo.com/blog/111-saas-statistics/
• $1,200–$1,500 per deal, $240,000 rework, 15–25% win rate ($1.5–$2.5 million), 20–30% churn ($2–$3 million ARR): SaaS benchmarks. https://www.vitally.io/post/churn-rate-benchmarks-b2b-saas-2025
• 30% deal loss: Industry estimate for enterprise software sales misalignment, based on SaaS pipeline analyses. https://www.benchmarkit.ai/post/2024-saas-performance-metrics
• 20–30% churn, $2–3 million ARR loss: SaaS industry benchmarks for high-value B2B contracts. https://www.gong.io/blog/saas-churn-rate/
• $250,000 pilots, $500,000–$1 million implementations, $2–4 million annual loss: Approximations from SaaS pilot and implementation cost trends. https://www.scalexp.com/post/saas-benchmarks-2023-part-4-revenue-retention
• $40,000–$60,000 RFPs, $400,000–$600,000 quarterly: Estimated from enterprise RFP response costs, 200+ hours at $150–$200/hour. https://chaotic-flow.com/saas-benchmarks-acquisition-cost-and-churn-challenges/
• $37,500 onboarding, $360,000 productivity waste: Calculated from $150,000 SE salary (90 days) and 30% task inefficiency at $150/hour. https://zylo.com/blog/111-saas-statistics/
• Retailer example: Derived from common enterprise sales coordination failures. https://www.kalungi.com/blog/saas-churn-rate

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