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...
The AI Ferrari: Why Your CX Strategy is Stuck on Concrete Blocks
We have reached a point in the hype cycle where “AI” is being sprinkled on enterprise software like a seasoning on a cheap steak: it masks the poor quality of the underlying meat but doesn’t make it more nutritious. In the latest CRMKonvo, Bhawani Shankar and the CRMKonvo team tore into the reality of what it actually takes to make “Agentic AI” work in a Customer Experience (CX) environment. The analysis? Most enterprises are trying to drive a Ferrari without wheels. Bhawani used this metaphor that I find particularly apt: the AI model is the shiny red car that gets the CEO excited; but the data is the wheels, the engine, and the fuel; and they come as options. If you buy the car without ensuring the wheels are attached and the tank is full of high-octane, verified data, you aren’t going anywhere. You are just sitting in an expensive garage making engine noises. 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 … The Death of the “System of Record” For decades, we have worshipped at the altar of the “System of Record.” The goal was simple: get the data into the CRM. It didn’t matter if the data was messy, duplicated, or six months out of date; as long as it was “in the system”, leadership was happy. But as Bhawani correctly pointed out, we need to be moving from a system of record to a system of context. In the old world, a...
The AI Content Trap: Multiplying Mediocrity at Scale
The AI Content Trap: Multiplying Mediocrity at Scale Marketing has always suffered from a volume addiction; however, the advent of generative AI has turned a bad habit into a terminal condition. In the recent discussion with Volker Hildebrand in our CRMKonvo, we explored the uncomfortable reality that while AI has made marketing faster and cheaper, it has largely failed to make it better. The cynical view, which I happen to hold is that marketers frequently confuse the amount of content produced with the actual impact on the customer. We are now in an era where everyone has the same tools to flood the market with what in the words of Volker just “multiplies mediocrity” – or in mine creates instant mediocrity. The core problem is that generative AI multiplies mediocrity by definition. It ingests existing data and spits out an average of what is already there; consequently, when every startup uses these tools to build their websites and social posts, they all end up saying the same. If you look at the CRM space today, the messaging is often nearly indistinguishable. Everyone promises “revolutionary” efficiency and “seamless” integration. As Volker noted, this is a trap for startups; if they cannot differentiate their story, they simply will not survive the noise. 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 … The Productivity Mirage Vendors love to sell AI based on productivity gains. They promise you can save 20 percent of your time on content creation. But...