This whitepaper explains how AI copilots can boost enterprise productivity by acting as collaborative assistants that understand context, adapt to user preferences, and integrate into familiar interfaces, while still keeping humans accountable for decisions. It outlines the foundations in generative AI and large language models, then gives practical guidance for building copilots: define goals and limits, use high-quality data, design for usability and accessibility, and embed security, privacy, and ethical safeguards. It presents an iterative development cycle from use-case scoping and model selection (prebuilt, fine-tuned, or custom) through prompt engineering, deployment, and continuous monitoring for accuracy, bias, and user feedback. It also covers integration challenges (data compati

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