Your Sales Funnel Is an Architectural Disaster, And How to Change This
Every single week, I sit through pitches from enterprise software vendors boasting about the next iteration of their ” AI-powered sales pipeline optimization platforms”. They promise to auto-magically turn cold leads into closed contracts while minimizing human intervention. That sounds great on a slide deck designed to pump the stock price before an earnings call. In reality, however, these systems are automating an architectural flaw that has plagued B2B organizations since, well, forever: the linear sales funnel. Let me be clear here. The classic sales funnel is not an asset; it is a structural failure. It assumes a predictable, straight line where marketing captures raw interest, tosses a lead over a wall to a sales development representative, who then passes it to an account executive to close the deal. Once the contract is signed, the customer disappears from the pipeline, and is handed off to an underfunded customer success department that operates like a glorified complaints department. This system assumes that buying journeys have a finite endpoint. The B2B buying journey does not end when a contract is signed. By treating marketing, sales, and service as isolated phases with independent processes and technology stacks, enterprise organizations create massive amounts of friction. Norbert Schuster, a veteran B2B strategist who joined us in the latest episode of the CRMKonvos podcast, summarized this beautifully when he described the classic setup as the “Currywurst-Pommes effect“. Individually, a sausage or a plate of chips is acceptable; combined, they become something functional. Yet, in most organizations, marketing automation platforms and CRM instances do not communicate well. They sit side by side as poorly connected line...
The Sales Automation Mirage: Why More AI Means Less Signal
The contemporary B2B sales landscape is currently drowning in its own engineering achievements. For the past decade, the holy grail of outbound sales development was scale: how many touches could an automated sequence tool squeeze out of a Sales Development Representative (SDR) per day? The answer was always “more”. With the mainstream infiltration of generative artificial intelligence and LLMs, the marginal cost of creating more text collapsed to zero, well, almost. Predictably, this did not produce a renaissance of enlightened business communication; it merely triggered an existential crisis in the recipients’ mailboxes. TL;DR If you want to watch the full CRMKonvo, please go ahead here (optimized for smartphones) or here (optimized for tablets/computers). Else, be my guest and continue to read. Or do both … When any entry-level sales rep can prompt a system to instantly parse a prospect’s digital footprint and draft a customized icebreaker, personalization is no more a competitive differentiator. As Ganesh Iyer of ASPR AI succinctly observes, personalization is officially the new spam. It has morphed into a meaningless background drone: a highly polished, entirely hollow manifestation of lazy marketing that enterprise decision-makers have naturally trained their brains to screen out completely. The structural mistake is confusing personalization with relevance. A cold email congratulating a Chief Revenue Officer on their recent round of series-B funding feels automated, even if an LLM wrote it dynamically. Why? Because one hundred other vendors are hitting the exact same spot with identical messages. Genuine relevance requires more: it needs a deep, mechanical understanding of the prospect’s actual current internal operational challenges. If a vendor can trace that the target...
Zendesk’s Specialist Bet Is the Right One; and Here’s What Would Make It a Moat
If you only read the press releases, Zendesk Relate 2026 told a strong, clean story. The era of the chatbot is over. Welcome the Autonomous Service Workforce. Resolution replaces deflection. Outcome-based pricing is the new norm. Specialization beats generalist orchestration. That’s strong. Really strong. If you also watched the customer panel, listened to the day-two keynote, and had the chance of having analyst one-on-ones, you got a richer story. One in which the strategic bets are well-placed, the customers describe a more nuanced reality than the slogans, and three specific refinements over the next twelve months that would turn a strong position into a durable moat. I came home quite positive. Here is why, and where I think the next twelve months are important. What Zendesk announced and why it lands The headline product story was the Autonomous Service Workforce: a network of specialized AI agents working alongside humans, orchestrated through what Zendesk now calls the Resolution Platform and improved continuously by the Resolution Learning Loop. Agent Builder gives customers a no-code interface to build bespoke agents. The Copilot suite expanded to four personas: Agent, Admin, Knowledge, Analyst. Voice AI handles 60+ languages mid-conversation. Employee Service AI agents from the Unleash acquisition live inside Slack and Teams. Knowledge Graph spans SharePoint, Google Drive, Notion, Guru, Contentful and Document360. Model Context Protocol support is bidirectional. Quality Score evaluates every interaction. This is quite a handful. Two of these messages are more powerful than the others. The first is resolution over deflection. Zendesk charges only when a resolution is verified by a second AI evaluation model; outcome-based pricing as the natural...