The Autonomous Enterprise: How AI Agents Will Restructure Knowledge Work
📝 Event Details
How top AI builders design, deploy, and scale autonomous multi-agent workflows.
Most enterprise AI discussions stay high-level. This panel focuses on ground-truth engineering: what breaks when you move agents from local prototypes into multi-step production workflows across enterprise systems.
We are bringing together founders and engineering leaders building agent runtimes, search APIs, and autonomous vertical tools.
They will break down the architectures they use to run hundreds of thousands of autonomous actions, how they handle context retrieval at scale, and where current agent stacks fail.
⚙️ What We Will Cover
Real Production Architectures: How top teams structure agent loops, sandboxed execution environments, and tool-calling interfaces.
Solving Context and Retrieval Bottlenecks: Why standard RAG fails for multi-step reasoning, and how search APIs, structured memory, and graph architectures provide reliable grounding.
Handling Failure Modes: Concrete patterns for error recovery, loop detection, cost control, and latency reduction in production agent fleets.
Commercial Value in the Agent Stack: Where economic value is concentrating between foundation models, agent frameworks, retrieval infrastructure, and vertical applications.
🙋♂️ Who Should Attend
Technical founders and CTOs deploying autonomous agents AI infrastructure engineers and platform architects Product leaders building AI-native workflows Expect candid technical breakdowns, practical engineering takeaways, and direct discussion with builders tackling the same scaling challenges.
⏰ Agenda / Time Schedule
5:30 PM – 6:00 PM: Check-in, drinks, and light dinner
6:00 PM – 7:00 PM: Panel discussion and architecture tear-down
7:00 PM – 7:200 PM: Open Q&A (attendees bring real engineering bottlenecks)
7:20 PM – 8:30 PM: Builder networking
📍 AWS Loft Venue Policies & Important Info
Age & ID: All attendees must be 18 or older. Please have a valid, physical ID ready for check-in at the door.
Transportation: For safety and accessibility, non-ADA vehicles (including bicycles, e-scooters, etc.) are not permitted on-site.
Sponsored by Querit
Special thanks to Querit for supporting this event. Querit provides real-time search APIs built specifically for AI agents and LLMs, delivering clean, structured web context that increases response accuracy while significantly reducing token consumption and scraping overhead.
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