Week 4 Blog: Individual Contributions

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 This week, I presented four ideas during our Discord meeting, exploring how AI could transform simple inputs into actionable business intelligence. Two of these became finalists that I’m particularly invested in.

AI Customer Service Quality Checker (Idea 4) is designed to analyze staff communication in customer interactions, providing managers with data-driven insights to improve service quality. The system processes conversation transcripts—whether from phone calls, live chats, or recorded in-person interactions—and evaluates key performance dimensions. It measures tone and sentiment to ensure professionalism and empathy, checks compliance with company policies and scripts, assesses response accuracy, and identifies coaching opportunities for staff. The AI then generates detailed performance reports that help managers recognize top performers and target training needs, turning subjective assessments into measurable data.

Walkthrough Auditor with AI Insights (Idea 2) is an inspection assistant aimed at simplifying manual audits across industries. Users conduct audits by walking through sites—restaurants, retail stores, or facilities—capturing observations and photos. AI identifies patterns or anomalies in these images, such as hygiene issues or maintenance problems, and compiles an actionable report with prioritised recommendations. An integrated chatbot provides contextual support, letting users ask questions about findings or standards. This tool reduces paperwork, standardises reports, and improves time efficiency while maintaining operational quality.

My top preferences are ideas 4 and 7, which balance innovation and strong real-world application. However, I also see clear merit in idea 2 for its operational efficiency and ease of implementation. I look forward to finalising our direction during our Week 5 meeting.

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