As a UX designer, I need to map the emotional landscape of our target user persona, 'Sarah, a busy marketing manager,' throughout her typical daily workflow, from morning commute to end-of-day wrap-up. For each stage of her journey (e.g., checking emails, attending a virtual meeting, reviewing analytics, responding to client requests), identify potential points of frustration, delight, confusion, and satisfaction. Then, suggest specific UI/UX elements or content strategies that could enhance positive emotions and mitigate negative ones. Assume Sarah is using our new project management SaaS product.

I am an operations manager looking to streamline inter-departmental workflows. Given a scenario where the 'Sales' team closes a deal, the 'Finance' team needs to invoice, the 'Operations' team needs to provision services, and the 'Customer Success' team needs to onboard. Design a blueprint for an AI-driven automated workflow that seamlessly passes relevant data and triggers actions between these departments. Specify the types of AI agents or functions required (e.g., data extraction, sentiment analysis for initial client contact, task assignment, automated report generation) and the key integration points.

Generate a series of five complex ethical dilemma scenarios that an AI development team might face when building and deploying a new AI system for autonomous vehicle navigation. Each scenario should present a novel ethical conflict, such as unforeseen edge cases in decision-making, data privacy implications during real-time learning, or potential biases in algorithmic responses. For each scenario, briefly outline the core ethical tension and suggest potential mitigation strategies or policy considerations the team should address during development and testing.