A leading Workday consulting firm (500+ employees, North America) wanted to speed up and standardize early Workday deployment discovery sessions, where requirements were often captured through manual notes, delayed summaries, or lossy transcripts that created inconsistency, extra cost, and slower configuration. Marlabs built a prototype AI requirements assistant that captures live Q&A, transcribes conversations, and generates structured requirements documents for downstream configuration, and also explored feeding outputs into Excel (XML) and SmartLoader. Delivered through four phases (AI discovery, Q&A capture, documentation automation, SmartLoader integration feasibility) using Python, AWS, OpenAI, and ChatGPT-4o/4o Mini, the result was faster onboarding, lossless knowledge capture, cons

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