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...
Sapphire 2026 – What SAP actually did for CX
SAP Sapphire 2026 was a major platform announcement, a competitive shot at ServiceNow, a coherent acquisition story across Reltio, Dremio and Prior Labs. It featured an Anthropic partnership that puts Claude at the center of the SAP Business AI Platform. For anyone who cares about customer experience, it was also a missed opportunity dressed up as ambition. If you watched only the keynote, you concluded SAP barely talks about CX. Klein did finance with JP Morgan. Herzig demoed pharma pricing. Industry AI showcased RWE wind turbines. The named flagship was the Autonomous Close Assistant. CX got line items. That reading is incomplete. Here is what actually happened for CX at Sapphire 2026, what it means competitively, and what SAP and SAP CX customers should do about it. What SAP actually shipped for CX On the same day as the keynote, Balaji Balasubramanian, SAP’s CX President and Chief Product Officer, published a substantive announcement listing ten named Joule Assistants for CX. Marketing gets Content and Campaign Assistants. Commerce gets Merchandising, Shopping and Order Management Assistants. Sales gets Sales, Deal Qualification and Deal Closing Assistants. Service gets Case Management and Service Management Assistants. The supporting announcements are the part most analyst coverage missed. A Google partnership brings Gemini into SAP CX, plus adoption of the open Universal Commerce Protocol. Vercel handles storefront development. SAP Unified Payment runs on Adyen, with Checkout.com and PayPal configurable. Expanded Parloa and Amazon partnerships cover voice and digital service. A new SAP Commerce Cloud, cloud ERP edition targets mid-market. Two Industry AI scenarios for CX: Autonomous Revenue Growth Management and Unified Commerce. All of it planned...