Founder | Agentic AI...ย โขย 2h
Most companies are missing these AI shifts. I've explained each one in simple below. ๐ฆ๐๐ฒ๐ฝ 1 โ ๐ง๐ฒ๐ฎ๐บ๐ โข Work was done only by humans. โข Every role depended on people executing tasks. ๐ก๐ผ๐: AI agents join teams as workers. ๐ก๐ผ๐๐ฒ: AI doesnโt replace teams. It changes them into ๐ต๐๐บ๐ฎ๐ป + ๐ฎ๐ด๐ฒ๐ป๐ ๐๐๐๐๐ฒ๐บ๐. ______________ ๐ฆ๐๐ฒ๐ฝ 2 โ ๐ง๐ฟ๐๐๐ โข Businesses relied on metrics and dashboards. โข Outputs were accepted if numbers looked good. ๐ก๐ผ๐: Results must come with evidence. ๐ก๐ผ๐๐ฒ: AI isnโt trusted by scores. Itโs trusted by ๐ฝ๐ฟ๐ผ๐ผ๐ณ, ๐๐ฟ๐ฎ๐ฐ๐ฒ๐, ๐ฎ๐ป๐ฑ ๐ฎ๐๐ฑ๐ถ๐ ๐น๐ผ๐ด๐. ______________ ๐ฆ๐๐ฒ๐ฝ 3 โ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ โข Managers assigned tasks and checked progress. โข Execution was closely monitored. ๐ก๐ผ๐: Managers supervise AI processes. ๐ก๐ผ๐๐ฒ: Leaders stop micromanaging work. They manage ๐ฟ๐ถ๐๐ธ, ๐ฒ๐๐ฐ๐ฎ๐น๐ฎ๐๐ถ๐ผ๐ป, ๐ฎ๐ป๐ฑ ๐ผ๐๐๐ฐ๐ผ๐บ๐ฒ๐. ______________ ๐ฆ๐๐ฒ๐ฝ 4 โ ๐๐ป๐๐ฒ๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป โข AI worked as chatbots. โข It answered questions on demand. ๐ก๐ผ๐: AI becomes an autonomous operator. ๐ก๐ผ๐๐ฒ: Real AI value comes when systems ๐ฎ๐ฐ๐, ๐ป๐ผ๐ ๐ท๐๐๐ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐ฑ. ______________ ๐ฆ๐๐ฒ๐ฝ 5 โ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ฒ๐ โข SOPs lived in PDFs and docs. โข Updates were slow and manual. ๐ก๐ผ๐: Processes turn into adaptive playbooks. ๐ก๐ผ๐๐ฒ: Static workflows fail in dynamic systems. AI improves processes using ๐ฟ๐ฒ๐ฎ๐น ๐ผ๐๐๐ฐ๐ผ๐บ๐ฒ๐. ______________ ๐ฆ๐๐ฒ๐ฝ 6 โ ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ โข Daily ops were run manually. โข Humans coordinated tools and platforms. ๐ก๐ผ๐: Agents lead operations. ๐ก๐ผ๐๐ฒ: AI handles execution. Humans focus on ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ ๐ฎ๐ป๐ฑ ๐ฒ๐ ๐ฐ๐ฒ๐ฝ๐๐ถ๐ผ๐ป๐. ______________ ๐ฆ๐๐ฒ๐ฝ 7 โ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐๐ฐ๐ฐ๐ฒ๐๐ โข Employees searched and read documents. โข Decisions were slow. ๐ก๐ผ๐: AI retrieves evidence and acts. ๐ก๐ผ๐๐ฒ: Work shifts from ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐ป๐ด โ ๐ฒ๐ ๐ฒ๐ฐ๐๐๐ถ๐ป๐ด. ______________ ๐ฆ๐๐ฒ๐ฝ 8 โ ๐ช๐ผ๐ฟ๐ธ ๐ฆ๐๐๐น๐ฒ โข Work happened inside individual apps. โข People switched tools constantly. ๐ก๐ผ๐: Work becomes process-first. ๐ก๐ผ๐๐ฒ: Apps are no longer destinations. They are ๐๐ผ๐ผ๐น๐ ๐ถ๐ป๐๐ถ๐ฑ๐ฒ ๐ฎ๐๐๐ผ๐บ๐ฎ๐๐ฒ๐ฑ ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐๐. Most organizations still apply old operating models to AI. The earlier they adapt, the faster they can grow today. โ Repost so more teams design AI for real enterprise work.

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