thomas.wieberneit@aheadcrm.co.nz
SAP belittles its CX chops – and why this is dangerous

SAP belittles its CX chops – and why this is dangerous

Cloud Wars’ Bob Evans recently did an excellent and very interesting interview with SAP CEO Christian Klein about SAP’s priorities, which include integrating generative AI with SAP Business AI “to address complex business challenges an drive holistic transformation by optimizing processes like quote to cash”. Klein repeatedly referred to end-to-end (E2E) and SAP’s great library of E2E processes that gives the essence of or at least a standardized framework for the value streams within a business. Not surprisingly, and correctly so, Klein also repeatedly emphasized the value of AI and, in particular, generative AI, to create customer value. This happens via Joule’s ability to orchestrate different agents across the value chain, i.e., different E2E processes. Joule is SAP’s Ai assistant. He also emphasized on the value of the suite and on the importance to “in the core business” not run with “agents of 100s of different tech companies”. This is where “the suite is winning”. Evans writes that SAP had “significant growth in applications, outpacing competitors. Klein attributes this to SAP’s suite approach, which provides a comprehensive solution for core business processes. He talks about the importance of integration and extensibility, allowing customers to choose the best solutions for their needs.” This is technically a correct statement. I am fairly sure that SAP will report another outstanding year on January 28, 2025. In the first three quarters of FY 2024 SAP certainly outpaced the cloud business applications competition, including Salesforce. However, there is a caveat to it. This growth is largely attributable to S/4HANA cloud. Don’t get me wrong, doing this is no mean feat. SAP profitably grows while...
Agentforce 2.0 – Champ or Chump?

Agentforce 2.0 – Champ or Chump?

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...
From Hype to ROI: Navigating Generative AI, CRM, and CX in 2025

From Hype to ROI: Navigating Generative AI, CRM, and CX in 2025

It is hard to believe but another year just flew by. It was a year that was defined by considerable hope and hype about generative technologies. It also means that another year lies ahead of us, a year that may or may not bring change. It also means that I get asked again for my outlook for CRM, CX and AI, and what are relevant industry trends to observe. As said, last year everything revolved around generative AI and I consequently looked at what’s going to happen on the front of CX and generative AI. Let’s look at how good my glass ball did work before looking at 2025. In summary, I postulated that there will be More success stories (partly right) more sophisticated use cases (partly right, although I didn’t really look at agentic AI) a flurry of more specialized models (yep) more companies starting to look at the ROI of implementations (partly right again, as there is still a lot of experimentation going on) a strong platform play going on (spot on, but this, frankly, wasn’t too hard to postulate) But what will come in 2025? What do some of the big dogs say about gen AI? As a little side note to the adoption and ROI topics, there are two interesting studies, one from the Wharton School and the Forrester Research predictions. The Wharton study basically indicates that 2024 has been a year of experimentation while 2025 will more be a year of adoption and deployment, with rather slowing growth of investment. The study authors suspect that this is a sign that companies are still looking...

Salesforce, Agentic AI, and You

Salesforce told us its agents were coming, and it was still a surprise when the agents arrived.If you’ve been conscious for the past year, you know how much news (or noise) there has been about artificial intelligence. Salesforce billed Dreamforce24 as “the largest AI event in the world.” It caught me a bit off guard when I heard Marc Benioff say it, but it probably shouldn’t have; Salesforce has invested heavily in AI for the past few years, ever since it introduced Salesforce Einstein (now Tableau CRM) in 2016. Its latest effort is Agentforce, and the company is really leaning into it.The topic of AI erputed in 2023 once ChatGPT was unleashed upon the general populace, and it’s only fair that a business would leverage the popularity of the topic. While 2024 seemed poised to be “the Year of the Copilot,” since a number of vendors introduced AI copilot apps—digital assistants that automate routine tasks—the fanfare was to be short-lived. Today, the talk is about agents, or agentic AI—AI that acts on its own to accomplish tasks and achieve goals, reaching into the knowledge stored in linked apps as necessary.Marc Benioff declared, “Agents are the third wave of AI.” It’s hard to argue against this. AI agents have great potential to increase productivity and customer satisfaction, and mark a leap forward in AI capabilities. Benioff stated that one of the goals of this year’s Dreamforce was to get 1,000 customers to deploy Agentforce, a goal which I believe they achieved. It’s too soon for there to be any tangible results that anybody can talk about, so we’ll have to...
Zoho – ready for enterprise prime time? What do customers say?

Zoho – ready for enterprise prime time? What do customers say?

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...