Min Kim

Min Kim is Staff Designer at ASAPP. She designs agent-facing products like AutoCompose and AutoSummary that help agents achieve maximum productivity with AI, all for the best Customer Service. Prior to ASAPP, she was at Verily (Google Life Sciences) and LinkedIn, solving for exciting UX challenges in healthcare and social media. She believes that well-crafted products can improve people’s lives for greater good. She’s an advocate for minimalist, intentional, and sustainable design.

Designing AutoCompose

Min Kim

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Discover how the HILA approach to human-in-the-loop boosts CX, increases resolution rates, and unlocks scalable AI performance.

As AI agents scale, CX shifts from labor optimization to service system design. Learn how to restructure teams, metrics, and operations.

Explore how true end-to-end resolution, human-AI collaboration, and enhanced CX can dramatically compound your ROI over time.

The old CX model is broken. Explore how agentic AI is reshaping service delivery, workforce strategy, and the future of customer experience operations.

Containment rate isn’t enough. Learn how to measure AI agent performance using goal completion, accuracy, guardrails, and experience quality.

What airlines and JetBlue teach us about building agentic customer experience, where AI and humans work together to handle complex service interactions.

How an agentic platform improve customer service in travel and hospitality by enabling proactive support, personalization, and seamless omnichannel experiences.

ASAPP's FinOps journey: how we reduced cloud costs by 45% in two years and built a culture of accountability, optimization, and continuous improvement.

"Everyone's transforming with AI." Only 34% actually are. Here's what real enterprise AI progress looks like.

ASAPP’s agentic CX platform unifies AI and human workflows to build trust, orchestrate customer journeys, and drive scalable growth, ROI, and better experiences.

During a historic US winter storm, an agentic CX platform helped an airline scale instantly, rebook passengers, and boost satisfaction.

Why the fastest path to enterprise AI isn't speed—it's choosing the right use case first. Learn the framework that separates successful pilots from stalled ones.

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