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  "documentTitle": "Accenture Tech Vision 2025",
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      "text": "In just one day, Cal and the agent took an idea through market research and planning to be near-ready for implementation. They quickly draft a proposal and send it to their lead for review. They can't wait for tomorrow—maybe they'll build something else brand new.",
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      "text": "Cal works in operations for a national pizza chain. One morning over coffee, they're listening to a colleague complain about how boring it was charging their car at a station last night. An idea sparks: What if bored—hungry—people could order pizza to their cars while charging? How many EV charging stations don't have easy access food nearby? It could open a whole new market for the company! But first, Cal needs to prove the market exists—and they're going to do it with the company's AI agent.",
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      "text": "They ask the agent to estimate potential demand using the stations' occupancy data as well as the pizza company's own sales data from local stores. The agent responds that some EV networks provide occupancy information while others don't, so it requests permission to find satellite data from another agent to fill those gaps. Cal okays the move, and the agent works with a satellite imagery company's agent to determine each station's occupancy over the last six months. Then it logs all EV data and combines it with local pizza sales data, which it has access to via an internal microservice.",
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      "text": "From there, the agent shifts from market research to planning. Using machine learning, it creates a predictive function for the company's pizza chain locations near select EV stations. It forecasts potential pizza demand, so stores can deliver the perfect number of pizzas and customers can get the pies fresh without long waits.",
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