Last week I spent time inside the actual mechanics of AI delivery. Day 1. It always stays Day 1. Day 2 is stasis. (Bezos is right.)
What I worked through: Vector embeddings. Generative AI Hub (SAP AI Core) with HANA as the vector store. Model Context Protocol (MCP). Similarity search and how Joule and AMS copilots use it to retrieve the right SAP Note or past incident. Retrieval-Augmented Generation (RAG) pipelines. The real difference between ADA-002 and Nomic on performance and auditability. Token ceilings across Mistral, GPT-5, Claude. The SAP BTP AI Core constraints nobody mentions in the keynote. Layered context to stop the model hallucinating. Data quality, context, uniqueness. Traceability from the start, not as an afterthought. GDPR and data residency.
Leading in the age of AI is is much more than a cost reduction exercise. It requires committing to lead differently. Building capability, leading with small, highly skilled teams that outperform large armies.
Not being a ๐๐๐ฟ๐ฎ๐ป๐ด๐ฒ๐ฟ. To your clients. Your team. Your partners.
๐ก๐ผ๐ ๐๐ฎ๐ธ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ต๐ผ๐ฟ๐๐ฐ๐๐ ๐ผ๐ณ ๐ผ๐ณ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐ฏ๐ ๐น๐ฒ๐ฎ๐ป๐ถ๐ป๐ด ๐ผ๐ป ๐ฏ๐๐๐๐๐ผ๐ฟ๐ฑ๐, ๐ท๐ฎ๐ฟ๐ด๐ผ๐ป, ๐ฎ๐ป๐ฑ ๐๐๐ฝ๐ฒ๐ฟ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐น๐ฒ๐๐ฒ๐น๐ ๐ผ๐ณ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ๐ถ๐ป๐ด.
Because if it does?
You cannot tell a client what is real and what is vapor. You will be treated as a talking brochure. You will remain a ๐๐๐ฟ๐ฎ๐ป๐ด๐ฒ๐ฟ who is fluent in the vocabulary and a ๐๐๐ฟ๐ฎ๐ป๐ด๐ฒ๐ฟ to the substance.
๐ช๐ต๐ฎ๐ ๐๐ผ๐ ๐ป๐ฒ๐ฒ๐ฑ ๐ถ๐ ๐๐๐ฟ๐ผ๐ป๐ด ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ๐ถ๐ป๐ด ๐ผ๐ณ ๐๐๐๐ถ๐ป๐ฒ๐๐. ๐ง๐ฒ๐ฐ๐ต. ๐๐ฎ๐๐ฎ. ๐๐. ๐ก๐ผ๐ ๐ผ๐ป๐ฒ ๐ผ๐ฟ ๐๐ต๐ฒ ๐ผ๐๐ต๐ฒ๐ฟ. ๐๐ป๐ฑ ๐๐ต๐ฎ๐ ๐ฐ๐ผ๐บ๐ฏ๐ถ๐ป๐ฎ๐๐ถ๐ผ๐ป ๐ต๐ฎ๐ ๐ป๐ผ ๐๐ต๐ผ๐ฟ๐๐ฐ๐๐.
From there a genuine and interactive dialogue. Built on curiosity. Focusing in your client's real business problems and opportunities, industry trends. Not your sales objective. Latter will follow anyhow as I always say. Industry trends in automotive like supply chain resilience. In retail inventory productivity. In CPG demand forecasting and OTIF. In utilities asset reliability and revenue assurance.
๐๐ณ ๐๐ผ๐ ๐ผ๐๐ป ๐๐ต๐ฒ ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐, ๐๐ผ๐ ๐ต๐ฎ๐๐ฒ ๐ป๐ผ ๐ผ๐ฝ๐๐ถ๐ผ๐ป ๐ฏ๐๐ ๐๐ผ ๐ผ๐๐ป ๐๐ต๐ฒ ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ฑ๐ฎ ๐ฎ๐ป๐ฑ ๐ฑ๐ฟ๐ถ๐๐ฒ ๐ถ๐. You cannot lead an AI-enabled transformation you only understand from the surface.
It is hard work. For those who are hungry, it is the best kind. ๐ฅ
Don't be a ๐๐๐ฟ๐ฎ๐ป๐ด๐ฒ๐ฟ.
Have a great week ahead. ๐