Reliability in the Age of Agentic AI
Sound familiar?
"My AI demo hallucinated in front of the client."
"The RAG pipeline worked in testing, broke in production."
"Voice AI failed 4 out of 10 calls in a live pilot."
"The agent looped for 47 seconds and returned garbage."
"Eval scores looked great. Users still hated the output."
You've built with AI. You've shipped. And you've been burned.
The enterprise world runs on deterministic systems. Generative AI is probabilistic by nature. That gap is where demos die, pilots stall, and production breaks at 2 AM.
This is a tightly curated, no-fluff gathering for people who are past the hype operators actively shipping AI and firefighting reliability every single day. We're talking hallucinations, eval frameworks that actually work, observability blind spots, guardrails for agentic workflows, and the ugly truth about taking AI from "cool demo" to "production-grade."
No keynotes. No sales pitches. Just real builders sharing real war stories, what broke, what worked, and what they'd never do again.
If you're living these problems, this room is built for you.
What to Expect
🎯 Interactive Session :
Hands-on explorations of reliability patterns, eval frameworks, and observability architectures for agentic systems.
💬 Panel Discussion :
Real practitioners sharing battle-tested insights on:
Why your eval scores lie and what to measure instead
Making probabilistic AI behave in deterministic enterprise environments
Building reliability layers into agent workflows before they spiral
Observability strategies that actually catch failures in production
🤝 Curated Networking :
Connect with builders, engineers, and product leaders solving the same problems you are.
Featured Speakers & Panelists :
Janani Sridharan - Product Manager, Navana AI
Pranav Rathi - Customer Success Manager, Eleven Labs
Bhuvanesh Ram - CTO, Voxy AI
Imaya Bharathi - Founding Engineer, RavenMail
Hemanth - CoFounder, DinoDial
Who Is This For?
AI/ML Engineers building production agentic systems
Product Managers owning AI-powered products
Engineering Leaders implementing reliability architectures
Operators actively dealing with AI observability and eval challenges
If you're building, breaking, and fixing AI systems — you belong here.
Limited seats.