Georgia Potgieter’s Post

Good points made. Although at times least fun and exciting, good governance is often key to unleashing value. In terms of opportunity cost, a small investment in governance often return dividends in future potential for organisations. Its key to remember a crumbly foundation will always be difficult to build on. Speed of build won't fix that underlying instability.

𝗧𝗵𝗲 𝗔𝗜 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗿𝘁 - 𝟮𝟬𝟮𝟱 𝗘𝗱𝗶𝘁𝗶𝗼𝗻. 𝗕𝗶𝗴 𝘃𝗶𝘀𝗶𝗼𝗻𝘀 𝗮𝘁 𝘁𝗵𝗲 𝘁𝗼𝗽. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗮𝘁 𝘁𝗵𝗲 𝗯𝗼𝘁𝘁𝗼𝗺. Everyone talks about agents. Everyone chases the next new tool. Everyone wants autonomous workflows. But look inside most companies and you see a very different reality. → A CEO saying "Let’s do Agentic AI". → A CTO saying "We built a prototype". And below that? No data foundations. No governance. No workflows. No ownership. Just PDFs, scattered CSVs, legacy ERPs, and a dozen SharePoint folders with conflicting truth. You can’t deploy real agents when: → Data is fragmented, duplicated, and undocumented → Governance isn’t part of the design process → Processes are tribal knowledge → Workflows aren’t instrumented end-to-end → No one owns the lifecycle of “AI in production” → Teams rely on manual handoffs that break every week Agentic AI demands maturity. Clear data contracts. Structured processes. Unified systems. Strong governance. Cross-functional ownership. And an operating model built for machines and humans working together. Most companies want the outcome. Very few are ready for the requirements. Kudos to John Wernfeldt. The picture below nails it. ↓ 𝗜𝗳 𝘆𝗼𝘂 𝗳𝗼𝘂𝗻𝗱 𝘁𝗵𝗶𝘀 𝘂𝘀𝗲𝗳𝘂𝗹, 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗼𝘃𝗲 𝗺𝘆 𝗻𝗲𝘄 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿. 𝗪𝗲𝗲𝗸𝗹𝘆 𝗱𝗿𝗼𝗽𝘀 𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁’𝘀 𝗻𝗲𝘅𝘁. 𝗬𝗼𝘂 𝗰𝗮𝗻 𝗷𝗼𝗶𝗻 𝟮𝟱𝗸 𝗿𝗲𝗮𝗱𝗲𝗿𝘀 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲: https://lnkd.in/dbf74Y9E

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