AI research in action
You've just joined the finance team at Roadline Motors, a fast-growing company in the motoring industry.
As a financial analyst, you've been asked to produce a forward-looking research brief on the automotive sector's performance and investment outlook.
Rather than manually compiling information from reports and articles, you'll use an AI research agent that can analyze, interpret, and synthesize insights across multiple credible sources.
Apply the the STOA prompting framework (Scope, Timeframe, Output, Assumptions) to structure your query and generate an evidence-based summary of the motoring industry's near-term financial outlook.
This exercise is part of the course
AI for Finance
Exercise instructions
Navigate to the agents pane, and under Agents, click on Researcher.,Type and submit you research prompt into the prompt box - to research the 12 month outlook for a market or sector of your choice.,Copilot will respond and offer to refine its research. Type "Go ahead" once you're ready.,The Researcher agent will kick-off a deep research process.,Submit your exercise even if the research process is not complete.
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