๐๐๐ญ๐ญ๐ข๐ง๐ ๐๐ ๐๐ข๐ ๐ก๐ญ ๐ญ๐ก๐ ๐ ๐ข๐ซ๐ฌ๐ญ ๐๐ข๐ฆ๐: ๐๐ซ๐จ๐๐๐ฌ๐ฌ ๐๐ข๐ฌ๐๐จ๐ฏ๐๐ซ๐ฒ, ๐๐๐, ๐๐ง๐ ๐๐ซ๐๐๐ค๐ข๐ง๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง
AI and automation promise efficiency, yet without a clear strategy, they can just as easily create confusion. The biggest pitfall? ๐ ๐๐ข๐ฅ๐ข๐ง๐ ๐ญ๐จ ๐ฆ๐๐๐ฌ๐ฎ๐ซ๐ ๐๐๐๐จ๐ซ๐ ๐ฒ๐จ๐ฎ ๐๐ซ๐ข๐ง๐ ๐๐๐จ๐ฎ๐ญ ๐๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐ฒ.
Before leading any AI initiative, ask: ๐๐ก๐๐ญ ๐๐ซ๐ ๐ฐ๐ ๐ฌ๐จ๐ฅ๐ฏ๐ข๐ง๐ ? ๐๐ก๐๐ซ๐โ๐ฌ ๐ญ๐ก๐ ๐ข๐ง๐๐๐๐ข๐๐ข๐๐ง๐๐ฒ? ๐๐ก๐๐ญโ๐ฌ ๐ญ๐ก๐ ๐๐๐ฌ๐๐ฅ๐ข๐ง๐? If youโre not tracking processes now, you wonโt understand the value later. AI doesnโt just automate work, it amplifies whatโs already there, good or bad.
We saw this play out in the early days of LLMs, when many believed that simply adding RAG models would deliver instant ROI. Yet, without measuring how teams were already accessing and using data, there was no way to quantify the actual impact. If you donโt know how much time or effort was spent searching for information before AI, how can you prove the improvement after? ๐๐๐๐ฌ๐ฎ๐ซ๐ ๐ญ๐ฐ๐ข๐๐, ๐๐ฎ๐ญ ๐จ๐ง๐๐.
Peter Drucker said it best, โ๐ผ๐ ๐ฆ๐๐ข ๐๐๐โ๐ก ๐๐๐๐ ๐ข๐๐ ๐๐ก, ๐ฆ๐๐ข ๐๐๐โ๐ก ๐๐๐๐๐๐ฃ๐ ๐๐ก.โ Rushing into automation without clear metrics leads to wasted effort, costly mistakes, and no real proof of impact. AI agents need to be tracked, tuned, and audited. If youโre not measuring, youโre not managing.
The companies that get this right will move fast. The ones that donโt will be stuck trying to figure out what they actually gained, if anything at all.
๐๐๐ฉ๐ฉ๐ฒ ๐ญ๐จ ๐ก๐๐๐ซ ๐๐๐จ๐ฎ๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐๐ข๐ ๐ ๐๐ฌ๐ญ ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐, ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ ๐๐ข๐ฌ๐๐จ๐ฏ๐๐ซ๐ฒ, ๐๐๐, ๐จ๐ซ ๐ญ๐ซ๐๐๐ค๐ข๐ง๐ ๐๐ ๐ข๐ง๐ข๐ญ๐ข๐๐ญ๐ข๐ฏ๐๐ฌ? ๐๐จ๐ฌ๐ฌ ๐ญ๐ก๐๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐จ๐ฆ๐ฆ๐๐ง๐ญ๐ฌ ๐๐๐ฅ๐จ๐ฐ.
๐ก๐ผ๐๐ถ๐ฐ๐ฒ: The views within any of my posts, or newsletters are not those of my employer or the employers of any contributing experts. ๐๐ถ๐ธ๐ฒ ๐ this? Feel free to reshare, repost, and join the conversation.
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