Rajesh Sabbani

Here are key takeaways from “How to Make Enterprise Gen AI Work” (HBR, Sept 2025) with a practical implementation guide, plus real-life use cases. If you like, I can tailor the steps to a specific industry you care about. --- Key Takeaways 1. Move beyond ad-hoc experimentation Many companies are using generative AI in an informal or pilot mode (e.g. employees using ChatGPT to draft emails), which yields learning but rarely produces significant enterprise-scale bottom-line impact.  2. Need for structure, measurement, and governance To scale Gen AI, organizations need frameworks: how to pick use cases, measure value, manage risk, set governance around data, ethics, security etc. Without these, efforts stay fragmented.  3. Alignment with strategic goals Gen AI initiatives have to be tied to organizational strategy. Which business problems will AI help solve? What value (cost saving, revenue, customer experience, etc.)? Otherwise, Gen AI becomes a toy rather than tool.  4. Ca...

Here are the key takeaways from “Why Employees Prefer AI Over Their Managers: The Impact On Leadership” (Forbes, published September 6, 2025) by Dr. Diane Hamilton, along with a practical, step-by-step guide for implementation and real-life use cases : Key Takeaways (with sources) AI delivers a more empathetic experience in tone and timing Employees—especially Gen Z—report that AI tools respond in warm, consistent, emotionally aware ways: “It sounds like you’re frustrated, and I want to help,” without impatience or distraction. AI communicates judgment-free and reliably Phrases like “That makes sense” or “Let me make sure I’ve got this right” help users feel heard and respected, building trust through tone and timing. Empathy from AI creates expectations for human leaders With bots delivering polished empathy, employees now expect the same or better from managers, who may fall short if distracted or emotionally unavailable. Empathy isn’t programmed—it comes fr...