Building Frontier CX Agents | Interrupt 26

In this keynote from Interrupt 2026, Cisco Customer Experience Fellow and Chief Architect Carlos Pereira pulls back the curtain on how one of the world's largest enterprise organizations is building and scaling frontier AI agents for its Customer Experience (CX) division. Carlos walks through Cisco's real-world journey from early chatbots and the "Agentic Foundation" to a fully AI-native "Renews Teammate" running in production across a $26B+ recurring revenue business. He shares candid lessons learned: why 95% accuracy wasn't enough for adoption, how bolting AI onto broken workflows can actually accelerate failure, and why the key to scaling agentic systems is keeping supervisors lean, introducing domain-specific planners, and building in self-correction by default. You'll come away with a practical architecture playbook—covering supervisor graphs, nested subgraph planners, deterministic task workflows, routing-first design, and long-term memory—plus an honest look at the organizational challenges of getting people to actually use these systems. Building Frontier CX Agents | Interrupt 26 00:00 Introduction & Cisco CX Overview 01:22 The Land, Adopt, Expand & Renew Model 02:36 From ChatGPT Hype to B2B Agentic AI 03:16 Why 2026 Is the Year of AI-Native Business Workflows 04:18 The Problem with Bolting AI onto Broken Workflows 05:01 The Agentic Foundation (Built in 2025) 05:49 Evolving to the "Renews Teammate" Concept 06:29 Architecture Deep Dive: Supervisor, Planner & Agent Layers 07:51 Introduction of the Planner Node 10:21 Zooming In: How the Supervisor Handles Complex Queries 12:14 Dynamic Replanning & Self-Correction Loops 14:43 Deterministic Task Workflows vs. LLM Reasoning 16:57 The Adoption Plateau: Why Users Ghosted the System 18:11 Forced Curiosity & Evolving from Chatbot to Teammate 18:50 Flipping the Mindset: Humans Help Software, Not Vice Versa 20:29 Key Features: Long-Term Memory, Scheduling & Proactive Intelligence 20:53 Lessons Learned: System Level 21:56 Lessons Learned: Agentic Infrastructure 23:15 Closing Remarks Extra resources: • Everything we shipped at Interrupt: https://www.langchain.com/blog/interr... • Meet LangSmith Engine: https://www.langchain.com/blog/introd... • About LangChain: https://www.langchain.com/

n8n Course for Beginners – Build Complex Workflows & Master AI Integration
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n8n Course for Beginners – Build Complex Workflows & Master AI Integration

The Agent Development Lifecycle: Build, Test, Deploy, Monitor | Interrupt 26
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The Agent Development Lifecycle: Build, Test, Deploy, Monitor | Interrupt 26

Introducing Managed Deep Agents | Interrupt 26
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Introducing Managed Deep Agents | Interrupt 26

From Canary To Global: Unified Progressive Delivery for Hybrid Cloud With... Zhuang Zhang & Ryan Wu
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From Canary To Global: Unified Progressive Delivery for Hybrid Cloud With... Zhuang Zhang & Ryan Wu

Opening Keynote: Lead in the Agentic Era
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Opening Keynote: Lead in the Agentic Era

How to build agents when the smartest AI isn't smart enough
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How to build agents when the smartest AI isn't smart enough

Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026
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Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026

Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman
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Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman

Software engineering at the tipping point
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Software engineering at the tipping point

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

The Future of AI Agents: What Will Interrupt 2027 Look Like? | Interrupt 26
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The Future of AI Agents: What Will Interrupt 2027 Look Like? | Interrupt 26

Jensen Huang & Satya Nadella on unmetered intelligence | Microsoft Build 2026
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Jensen Huang & Satya Nadella on unmetered intelligence | Microsoft Build 2026

Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic
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Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic

Nvidia’s Jensen Huang on the AI revolution, job losses and what drives him | Full interview
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Nvidia’s Jensen Huang on the AI revolution, job losses and what drives him | Full interview

Most Enterprise Agentic Projects Are Doomed, Here's Why — Jess Grogan-Avignon & Jack Wang, Accenture
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Most Enterprise Agentic Projects Are Doomed, Here's Why — Jess Grogan-Avignon & Jack Wang, Accenture

How We Built LangSmith Engine | Interrupt 26
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How We Built LangSmith Engine | Interrupt 26

What Karpathy Joining Anthropic Actually Means For Claude
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What Karpathy Joining Anthropic Actually Means For Claude

Anthopic, OpenAI Should Not Be Allowed to IPO, Says Ed Zitron
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Anthopic, OpenAI Should Not Be Allowed to IPO, Says Ed Zitron

Building Agentic AI Applications on Snowflake: From Query to MCP | BUILD 2025
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Building Agentic AI Applications on Snowflake: From Query to MCP | BUILD 2025

The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory
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The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory