by twieberneit | Jan 7, 2025 | Blog |
SaaS is dead! It will be replaced by agentic systems that replace coded business logic by AI agents that autonomously interact to bring said business logic to life, just smarter. Satya Nadella said it – or at least something in these lines, if I believe all the pundits around. His words lit up the Internet. And Satya Nadella being the CEO of a 3 trillion dollar company is the ultimate fount of truth and wisdom, when it comes to business applications. Is he not? So, what should we take from his statements? After all, the words of the CEO of one of the top 3 valuable companies on this Earth carry some weight. Let me start straight. I call BS! SaaS, first of all, is a delivery model of logic that also had some implications on vendors‘ business models and their approaches to pricing. For a variety of good and not so good reasons this delivery model succeeded vs. the prevalent model of on-premises software. Some of the more important reasons have been “no lock in by vendors”, “only pay for what you use”, “reduction of own infrastructure cost”. Of course, there are more. All of them being true – or not so much. One thing is for sure, SaaS led to a considerable centralization of compute resources. Hyperscalers emerged. Vendors took over the management of the application stack for their clients. It is very hard to envision that this gets reverted any time soon, even in a world with increasing trust issues and a good argument for edge computing. What SaaS is not, or only marginally, is a way...
by twieberneit | Dec 20, 2024 | Analysis, Blog |
The News On December 17, 2024, Salesforce announced Agentforce 2.0 after introducing Agentforce 1.0 during the company’s Dreamforce event. With it, it repositions Agentforce as a “Digital Labor Platform” that is capable of supplying businesses with an infinite workforce. This way, they shall be able to address internal challenges like labor shortages, fixed capacity, stalled productivity, or burnout. In addition, they increase their ability to work with increasing customer demands like no patience, their wish for personalization and empathy and with a knowledgeable expert, etc. “Agentforce 2.0 is the newest version of Agentforce and the first digital labor platform for enterprises — a complete AI system for augmenting teams with trusted, autonomous AI agents in the flow of work. This new release introduces a new library of pre-built skills and workflow integrations for rapid customization, the ability to deploy AI agents in Slack, and advancements in agentic reasoning and retrieval augmented generation (RAG) – enabling teams to scale their workforce with a custom Agentforce capable of handling complex, multi-step tasks with even more precision and accuracy.” Agentforce 2.0 comes with a library of prebuilt skills, which are jobs that digital agents can perform. These skills do not only cover Salesforce software but also cover partner software and, with the help of Mulesoft, any other system. The agent builder, that is part of Agentforce 2.0 enables the building of new agents/skills using natural language. New agents can be built using the skill library or custom logic. Agentforce 2.0 is live and will get additional capabilities throughout Q1/2025. The Bigger Picture AI has hit an inflection point. We came from rule-based...
by twieberneit | Jun 28, 2024 | Blog, Case Study, Sponsored |
Zoho is well-known as a technology vendor for the SMB market. The company has products that support the whole range from single proprietors to larger companies. This range in itself is remarkable. For some time now, the company is diligently working on moving upmarket and to also support enterprises. This is not in the least, as with a growing customer base, more and more existing customers grow into the enterprise segment. The transition from SMB to enterprise is far from trivial. Sales models change, messaging, consulting approaches, support infrastructure, even the demand for the size and structure of the ecosystem are different in the enterprise sector. So, how does Zoho fare? To find out, I had a conversation with Parl Johnson, “Chief Nerd” at Nuvia Smiles. You can find our complete conversation on YouTube. Interview with Parl Johnson, Chief Nerd at Nuvia Smiles Nuvia Smiles is a dental implant company and currently has 1,500 Zoho seats. The company has more than 30 locations across the United States. Its specialty is to provide a 24-hour turnaround time to get permanent teeth into the patient’s mouth. This way, they do not have to wait long periods of time to get dental replacements. This requires a very rigorous process and having a lab at every location. Decision making is highly decentralized to support this fast process. The challenge with this degree of decentralization is that there are many disconnected applications and with that also very decentralized data. Nuvia Smiles identified 80 different applications with a scope of consolidation across the 30 locations. While this initially facilitates fast growth, it can become a...
by twieberneit | May 2, 2024 | Analysis, Blog |
The News On April 15 to April 18, 2024, Zendesk held its annual Relate event, including a half day analyst track on April 15. The event was attended by around 1,600 customers, partners and analysts. It was about Zendesk’s strategy, which revolves around – no surprise here – AI to deliver better customer experiences. As part of this strategy, Zendesk also made clear how the past twelve month’s acquisitions of Klaus, Ultimate, and tymeshift get integrated into Zendesk’s customer service offerings, enriching and rounding them off. The company is betting big on AI, working on the assumption that interaction volumes between customers and companies are continuing to increase very fast. As a conclusion of this, service needs to become AI driven to accommodate this scale. Secondly, Zendesk sees AI as the technology underlying the necessary high degree of personalization. Together, this is estimated to increase the market size available to CX solutions that automate CX labor tremendously. At the event, Zendesk had three key announcements. They were AI agents to improve self service solutions, a copilot that helps agents solve incoming tickets faster and provides insight to further optimize the service and a workforce engagement solution that helps improve the productivity of digital and human agents as well as the quality of conversations. Behind all this lies the recognition that customer service is very much conversational. Customers and partners that I talked with had a keen interest in learning more about AI use cases. Many of them had started to use AI but estimated themselves still in early stages. The bigger picture The customer service software market has become...
by twieberneit | Mar 8, 2024 | Blog, Case Study, Sponsored |
As part of my series of customer interviews, I recently had the chance of speaking with Keith Cooper, vice president of customer experience at Bergen Logistics. Bergen Logistics is a global third party logistics provider, based in North Bergen, New Jersey. It primarily serves the luxury fashion and home goods segments but is available in other verticals, too. In Keith’s words “When you order something from a company’s website online, the order comes to us. We pull the order, we pack the order, we ship the order, and it arrives to you in most cases the next day.” If you prefer to watch the interview, you can do so here. Bergen Logistics started to search for a CRM solution with the original focus on the-lead-to-order process. The trigger was the owner of the company inquiring for the status of a lead that he had given to sales a while ago – because the prospect was inquiring. At that time, “there was a belief [in the sales organization] that it was okay to take three or four days to respond to a client when they wanted to talk to us because we’re very bespoke; the salespeople sort of have this view that they would wait.” Not only did this risk the company reputation but additionally, available data showed that 40 percent of the prospects didn’t want to wait that long. They were trying to resolve a business issue. This translated into loss of business. The company did research and narrowed down the competition to Salesforce and Zoho. They did an in-depth analysis and went for Zoho. “Between Zoho and Salesforce...