Introducing Human-Quality Virtual Agents
A 90-minute, demo-led walkthrough of Level AI's Human-Quality Virtual Agent platform and the closed-loop operating model that underpins it.
What You'll Learn
Build Automation Where It Actually Matters
Run Virtual and Human Agents as One System
Measure, Control, and Improve with Human-Grade Quality
What You'll Learn
Unified Agent Operations
Running virtual agents and human agents in one system for seamless customer experiences
Smart Automation Use Cases
Identifying the right use cases to automate with virtual agents live
Measure & Improve
Measuring and improving automation without risking CSAT scores
Meet the Speakers
Learn from industry experts leading the charge in AI-powered customer experience

Sumeet Khullar
Co-Founder and CTO
Level AI

Aron Kurzinski
Director of Enablement
Level AI

Ben Huber
Director, Business Performance Analytics
Topcon Positioning Systems

Corinne Flanagan
Senior Manager, Training, Quality and Operations
Smartsheet
Why Attend?
Get a live, end-to-end look at how human-quality voice automation is discovered, deployed, operated, measured, and improved in production.
Live End-to-End Walkthrough
Watch the full closed-loop operating model in action, from discovery to improvement, anchored on real workflows and real system behavior. No slides. No theory.
Discover the Right Use Cases to Automate
See how teams use Voice of Customer and historical human conversations to identify safe, high-volume automation opportunities and avoid automating the wrong workflows.
Agenda: DISCOVER
Deploy a Governed Virtual Agent
Learn what it takes to move from insight to a working virtual agent with the right knowledge, guardrails, testing, and version control, so deployment is fast but safe.
Agenda: DEPLOY
Orchestrate Humans and AI in One Journey
See how the virtual agent and human agent coordinate in real time, including seamless handoffs with full context, so customers experience one continuous journey.
Agenda: OPERATE
Measure Quality Across AI and Humans
Understand how teams evaluate both virtual agents and human agents using a consistent quality framework, with conversation- and turn-level visibility into performance and failures.
Agenda: MEASURE
Improve Continuously Without Risking CSAT
Learn how closed-loop learning works in practice, how failures are surfaced, and how quality is enforced over time as automation expands, without sacrificing trust or compliance.
Agenda: IMPROVE + Wrap-Up
Expert Q&A
Ask the team questions on voice latency, quality enforcement, safe expansion, and what it takes to move from pilots to production scale.
Agenda: Q&A
Event Agenda
A comprehensive 90-minute journey through the closed-loop operating model
Opening Keynote: Context, Data, and Why Human-Quality Virtual Agents Are Now Possible
Set context on why CX systems break in voice, establish Level AI's human-quality conversation data advantage, and clearly introduce the Virtual Agent product
Foundation: What Human-Quality Virtual Agents Actually Require
Translate the vision into system requirements: shared data, runtime, evaluation, and learning. Introduce the closed-loop model
The Impact: From Pilots to Production
Create urgency by showing how a real closed loop changes business outcomes and enables safe scale
Live Product Walkthrough: Human-Quality Virtual Agents in Action
Walk through the three core pillars that make human-quality voice automation possible
Handling Real Voice Conversations
Show how the Virtual Agent handles complex, interruption-heavy workflows like order number, DOB, ZIP collection, and discuss latency and responsiveness
Integrating with Enterprise Systems
Demonstrate real system integrations (e.g., Salesforce or Zendesk), including reads, writes, and debug visibility
Fireside Chat with Ben Huber
Validate Agentic IQ through real-world experience covering implementation timelines, integrations, and language complexity
Discover, Deploy, Operate, Measure, Improve
Show how insights power the closed loop: discovering use cases, deploying agents, orchestrating journeys, measuring quality, and improving over time
Fireside Chat with Corinne Flanagan
Validate how insights and conversation data help teams identify the right automation opportunities and avoid automating the wrong things
Wrap-Up: The Closed-Loop Model + Q&A
Reinforce the full end-to-end loop and open the floor for audience questions
Ready to Transform Your CX?
Join us on February 26, 2026 for an exclusive look at the future of customer experience automation.