From AI Pilots to Trusted Agentic Systems
Join senior technology and business leaders for an exclusive dinner and guided conversation exploring what it really takes to make AI agents work across the enterprise - securely, strategically, and at scale.
Moving Beyond Experimentation: Operationalizing Autonomous AI with Confidence
Agentic AI represents a fundamental paradigm shift in how global enterprises operate, compete, and innovate. However, the path from successful proof-of-concept to enterprise-wide adoption presents a critical bottleneck: trust.
When autonomous agents begin taking action rather than simply answering questions, traditional monitoring and governance fall short. Trust among humans, underlying infrastructure, and autonomous systems is the single factor that determines whether an AI initiative scales into a core competitive advantage or stalls in development.
Join senior engineering leaders, enterprise architects, and AI pioneers in Seattle for an evening of candid, peer-level discussion on what it truly takes to build, deploy, and govern agentic systems you can trust with real business operations.
The Core Discussion: Four Questions Every Leader Faces
The roundtable will address the critical hurdles in moving from isolated experimentation to enterprise-scale adoption with confidence.
The Human-Agent Trust Boundary - Where does autonomous action end and oversight begin?
Defining the escalation thresholds, blast radiuses, and approval gates required to safely delegate execution to autonomous systems.
System Reliability & Architecture - How do you maintain stability in non-deterministic workflows?
Implementing the full-stack observability needed to diagnose multi-step agent reasoning, tool calls, and cross-system dependencies in production.
Continuous Evaluation & Transparency - How do you ensure ongoing predictability post-deployment?
Establishing automated runtime evaluation and tracing frameworks to prevent behavioral drift and maintain operational trust over time.
Governance & Strategic Alignment - How do you ensure agent decisions strictly mirror business intent?
Building enterprise policy controls and governance models that keep autonomous agents operating securely within commercial and compliance guardrails.
Join the Conversation
Join a select group of engineering, data, and technology leaders for an exclusive executive dinner in Seattle. Explore how trust-centric design enables organizations to safely operationalize agentic AI, overcome production bottlenecks, and turn isolated pilots into scalable enterprise systems.
Over dinner, exchange perspectives with industry peers and experts from Dynatrace, Arize AI, and Microsoft on the frameworks, architectures, and governance models required to ensure autonomous systems behave reliably, transparently, and in alignment with business intent.