Beyond the Hype: Unlocking GenAI ROI in the Enterprise
My past two column articles on CustomerThink dealt with how to determine the return of agentic investments and whether agentic AI delivers at all. The question of ability to deliver is particularly interesting for me, as I am researching measurable results other than cost savings in contained business areas for some months now, and regularly find a very strong focus on customer service and marketing, with customer service functions being best able to report measurable results. This is evidenced by the number of success stories I find, supported by the publication of a recent TEI of Zendesk customer service study. However, most of this is anecdotal evidence, or vendor sponsored/commissioned. And which vendor likes to speak about failures? Similar for buyers who understandably do not like to be in the spotlight with investments that turned out to be less than successful. There hasn’t been too much in depth research on whether generative and/or agentic AI deliver to promise or not. Luckily, there has been at least some research evaluating the capabilities of LLM based AI agents in business environments published this year. CRMArena-Pro by Salesforce Research naturally has a focus on CRM tasks across B2B and B2C scenarios. The authors identified nineteen tasks commonly executed in CRM systems and categorize these tasks in the four business skill categories database querying and numerical computation, information retrieval and reasoning, workflow execution, and policy compliance and includes a confidentiality awareness evaluation. TheAgentCompany on one hand covers a wider area along the business value chain but on the other hand has a narrower focus on software engineering companies. One other main difference between...
Microsoft Layoffs: Profits, CEOs, and a Culture of Fear?
This will be a rant, but a rant with roots in the belief that employee experience fosters customer experience. As it should be well-known by now, Microsoft fired around 9,000 employees in July, after doing some smaller layoff rounds already in 2025, totaling more than 15,000 employees according to the TechCrunch comprehensive list of 2025 tech layoffs. This continues a trend from 2023 and 2024. Now, I get it. Companies need to be and stay profitable, reorganize and, if needed, lay off employees. As such, there is nothing wrong with this. Where things start to get wrong is when at the same time two other things can be observed: strong and successful growth in revenues as well as profits, and very generous payments to the C-suite. Microsoft is immensely successful. For a long time now, we see record revenue and profits every quarter, which means strong growth. Looking at the most recent Q4/25 numbers, this is poised to continue and made Microsoft the second $4 trillion company after Nvidia. Consequently, Satya Nadella as the company CEO, receives an enormous total compensation ($ 79.1M in 2024). To compare this number, the average total compensation of a Microsoft employee is $220k with a median compensation of around $192k. This is a factor of 400. And no, this is not me being jealous. Microsoft’s written down corporate values are respect, integrity, and accountability. What triggered this text is the dissonance between all this that is also evident in Satya Nadella’s mail to the employees titled “Recommitting to our why, what, and how” that got published on the corporate blog on July...
Zoho goes all in with AI – bold or inevitable?
The news On July 17, 2025 Zoho launched Zia LLM and deepened its AI portfolio with agents, an agent builder, MCP support and an agent marketplace. Key announcements from the press release include: In-House LLM: Zoho has developed its own large language model, Zia LLM, which comes in three sizes (1.3B, 2.6B, and 7B parameters) to optimize for different business use cases. This allows customers to leverage AI while keeping their data within Zoho’s ecosystem, ensuring privacy. The three models allow Zoho to always optimize the right model for the right user context, striking the proper balance between power and resource management. This focus on right-sizing the model is an ongoing development strategy for Zoho. Speech-to-Text Models: The company also unveiled two proprietary Automatic Speech Recognition (ASR) models for English and Hindi, with plans to support more languages in the future. Prebuilt AI Agents: To facilitate immediate adoption, Zoho has introduced a range of AI agents that are integrated directly into its products. These agents are designed to automate tasks for various business roles such as sales development, customer support, and account management. Global and Private Cloud Deployment: The new Zia LLM will be deployed across Zoho’s data centers in the US, India, and Europe. Continued Support for Other Models: While promoting its own AI, Zoho will continue to support integrations with other popular large language models like ChatGPT, Llama, and DeepSeek. Zoho will continue to scale Zia LLM’s mode sizes. A2A capabilities are on the roadmap. The bigger picture Enterprise software has been a platform game for a long time. AI, in particular generative and agentic AI, have...