I need a Python-driven workflow that uses AI assistance (Copilot/GPT) to read customer data contained in up to five Excel workbooks, transform what it finds, and automatically lay everything out in a polished PowerPoint deck. The solution must detect the relevant columns in each file, perform any required aggregation or cleanup with pandas/openpyxl, and then generate slides through python-pptx (or an equivalent library). Each deck has to include three key elements drawn from the spreadsheet content: data-driven charts and graphs, well-formatted tables, and short text summaries that highlight insights. I plan to reuse this repeatedly, so the code should be modular, clearly commented, and easy to point at a new batch of spreadsheets without rewriting anything. If you use Jupyter notebooks during development, bundle a standalone .py entry point as well. Deliverables: • Clean, documented Python source (ready to run locally). • One example PowerPoint produced from sample input so I can see the formatting. • A brief read-me explaining setup, required libraries, and how to swap in new Excel files. I’ll test the hand-off by dropping fresh customer spreadsheets into the input folder and confirming the script renders a deck that mirrors the specified charts, tables, and narrative. Once that passes, the engagement is complete.