𝐂𝐚𝐥𝐢𝐛𝐫𝐚𝐭𝐞𝐝 𝐓𝐫𝐮𝐬𝐭: Building Enterprise AI Agents That Deliver

Calibrated Trust: Building Enterprise AI Agents That Deliver
Your organization is moving toward AI agents. How do you know when to trust them?
Agentic AI promises speed, autonomy, and scale. But in real enterprise environments, most agents stall long before they become dependable. The challenge isn't intelligence or tooling. It's designing systems that people can understand, govern, rely on, and recover from when things go wrong.
Join the Loudoun AiGile Network for a practitioner-focused session with Noble Ackerson, a leader in responsible AI product strategy and enterprise deployment.

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About This Session
This session introduces the Five Pillars of Calibrated Trust, a battle-tested framework for building agentic systems that move beyond demos and into real enterprise use. Drawing from real production deployments, Noble will share what actually works when engineering trust across autonomous systems.

You'll learn:

• Why optimizing for accuracy and task completion often undermines enterprise adoption
• How transparency, reasoning traces, and source attribution enable appropriate reliance
• Why UX design, from human-in-the-loop to human-on-the-loop, drives adoption more than model performance
• How consequence tolerance and task decomposition support adaptability and auditability
• What calibrated trust looks like in practice: matching user reliance to real system capability

You'll walk away with:

• A clear framework for evaluating whether AI agents are enterprise-ready
• Practical patterns for designing trust, transparency, and governance into agentic systems
• Strategies for managing imperfection as a feature, not a hidden risk
• A grounded approach to building AI agents that teams trust enough to depend on

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This is the conversation your team needs to have before your next AI deployment.
Register now to save your seat.