AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.


What happens when AI meets the chaos of real-world customer support?

In this episode of Eye on AI, we sit down with Ryan Wang, co-founder and CEO of Assembled, to unpack how AI is transforming the future of customer service, without replacing humans.

Ryan reveals how Assembled went from a workforce scheduling tool to a full-stack AI support platform used by companies like Stripe, Robinhood, and Honeylove.

You’ll learn how conversational AI agents are handling up to 75% of support inquiries, why voice is the next big frontier, and how AI copilots are helping human agents become 15% more productive.

But this isn’t just hype. Ryan shares the hard economic truths behind automation—why humans aren’t going away, how companies are navigating global workforce optimization, and why hybrid AI + human systems are here to stay.

This episode gives you a front-row seat into how the smartest companies are rethinking support at scale.

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(00:00) Preview and Intro
(01:37) Ryan Wang’s Journey from Stripe to Assembled
(04:55) Launching Assembled
(09:49) From Scheduling Tool to AI-Powered Support
(12:11) Who Uses Assembled: Companies vs. BPOs
(14:57) Building Conversational and Voice AI Agents
(21:10) Competing with Zendesk, Salesforce & Crescendo
(23:07) How Assembled Integrates with Customer Support Stacks
(25:40) The Niche Power of Workforce Management Tech
(31:16) Why the Customer Support Market Is Ripe for Disruption
(33:47) How Assembled Swaps Between OpenAI, Claude & Others
(37:56) Evaluating LLMs with Golden Datasets and 'Vibe Checks'
(41:20) Multilingual Support and the Challenge of Europe
(45:11) Industry Focus vs. Complexity Focus
(47:43) Voice AI: The Next Big Frontier?
(50:18) The Truth About AI Replacing Jobs in Support
(54:39) The Automation Paradox: Why Labor Isn’t Shrinking

What if the biggest challenge in AI isn't how fast chips can compute, but how quickly data can move?

In this episode of Eye on AI, Nandan Nayampally, Chief Commercial Officer at Baya Systems, shares how the next era of computing is being shaped by smarter architecture, not just raw processing power. With experience leading teams at ARM, Amazon Alexa, and BrainChip, Nandan brings a rare perspective on how modern chip design is evolving.

We dive into the world of chiplets, network-on-chip (NoC) technology, silicon photonics, and neuromorphic computing. Nandan explains why the traditional path of scaling transistors is no longer enough, and how Baya Systems is solving the real bottlenecks in AI hardware through efficient data movement and modular design.

From punch cards to AGI, this conversation maps the full arc of computing innovation. If you want to understand how to build hardware for the future of AI, this episode is a must-listen.

Subscribe to Eye on AI for more conversations on the future of artificial intelligence and system design.


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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI


(00:00) Why AI’s Bottleneck Is Data Movement
(01:26) Nandan’s Background and Semiconductor Career
(03:06) What Baya Systems Does: Network-on-Chip + Software
(08:40) A Brief History of Computing: From Punch Cards to AGI
(11:47) Silicon Photonics and the Evolution of Data Transfer
(20:04) How Baya Is Solving Real AI Hardware Challenges
(22:13) Understanding CPUs, GPUs, and NPUs in AI Workloads
(24:09) Building Efficient Chips: Cost, Speed, and Customization
(27:17) Performance, Power, and Area (PPA) in Chip Design
(30:55) Partnering to Build Next-Gen Photonic and Copper Systems
(32:29) Why Moore’s Law Has Slowed and What Comes Next
(34:49) Wafer-Scale vs Traditional Die: Where Baya Fits In
(36:10) Chiplet Stacking and Composability Explained
(39:44) The Future of On-Chip Networking
(41:10) Neuromorphic Computing: Energy-Efficient AI
(43:02) Edge AI, Small Models, and Structured State Spaces

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

Grammarly is no longer just a writing assistant. It's building an AI productivity platform that could rival Microsoft Copilot. In this episode, Luke Behnke, VP of Enterprise Product at Grammarly, shares how the company is moving beyond grammar correction into intelligent agents, enterprise workflows, and real-time AI tools.

We dive into Grammarly’s new Authorship feature, why AI fluency is becoming essential at work, how Grammarly is integrating tools like Coda and Superhuman, and what the future of multi-agent systems looks like.

If you're curious about where AI at work is really heading, this conversation will give you a clear and powerful glimpse.

(00:00) Preview and Intro
(03:37) Meet Luke Behnke
(05:00) Grammarly's Origin Story and Early Vision
(09:11) Grammarly’s UX Advantage
(13:30) Competing With Microsoft Copilot and Built-In Assistants
(17:48) What Is “Authorship” and Why It Matters
(20:31) AI Detection vs Authorship Tracking
(25:05) The Future of AI Transparency
(27:43) Why AI Fluency Will Be a Job Requirement
(32:04) Grammarly's Agentic Vision
(34:11) The Rise of Context-Aware Enterprise Agents
(38:24) Use Cases: Automating Tasks Across Tools with AI
(40:21) The Coda Acquisition & Building the Agent Platform
(44:48) The Future of Interoperable AI Agents
(47:43) Why Agent Oversight Is Crucial in Enterprise AI
(55:57) Measuring Grammarly’s ROI in the Enterprise