Why agencies are giving AI a seat in their org chart
Briefly

Why agencies are giving AI a seat in their org chart
AI is increasingly used inside business functions rather than treated as an experimental side tool. Many organizations already rely on AI for routine tasks such as summarizing meetings, drafting content, and analyzing data. Adoption has grown quickly, with a large share of U.S. adults using generative AI. Internal practices like prompt-sharing sessions can evolve into practical demonstrations of AI used in real workflows. Examples include an AI agent automating competitive research and a project lead using AI to generate project timelines from start and end dates and work descriptions. Individually small time savings can collectively create more capacity for creativity. Formalizing AI roles helps recognize AI as part of the operating model.
"According to McKinsey, 88% of organizations regularly use AI in at least one business function. It's clear that AI isn't sitting off to the side anymore. It's being embedded in the work we do. THURSD-AI At Quantious, we see this every week in our internal "Thursd-AI" sessions. What started as a casual forum for sharing prompts has turned into something more practical: people showing how they're actually using AI inside real workflows."
"One marketing producer set up an AI agent to automate competitive research that used to take hours. A project lead uses it to build out project timelines. By just providing start and end dates and describing the work to be done, it builds out all milestones and shares the timeline with the team for approval. Individually, the gains are small, but collectively they've started to provide the team with more breathing room for creativity."
"More teams are defining distinct roles AI performs across their business. These are three reasons why it actually makes sense. 1. AI IS ALREADY IN THE WORKFLOW AI isn't experimental anymore; for many teams it's just how work gets done. It's embedded in everyday tasks like summarizing meetings, drafting content, and analyzing data."
"AI Adoption has been relatively fast. Roughly 55% of U.S. adults are already using generative AI, a faster adoption curve than both the internet and personal computers at the same stage. Inside organizations, it's eve"
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