Control, Observability, and Human-Centered AI with Logan Kelly

Agent Governance in Production: Control, Observability, and Human-Centered AI with Logan KellyLogan Kelly, CEO and co-founder of Waxell.ai, discusses building a governance, observability, and runtime control layer for AI agents in production so autonomous systems remain reliable, auditable, and aligned with business and ethical constraints. Drawing on experience running autonomous sales agents at scale, he argues governance should sit above agents to avoid boilerplate, prevent bypasses, and let operations, finance, security, and frontline teams shape behavior without shipping new code. The conversation covers how governance can start with cost and quality controls, expand into runtime enforcement, and help organizations move faster through better visibility and safer adjustments. They also address risks of employees bringing third-party agents into corporate environments, the need for organizational ownership and culture, and a future focused on augmenting humans with multiple agents rather than replacing workers.00:00 Agent Governance Overview00:53 Formative Lessons in AI03:39 Why Governance Sits Above05:50 What Customers Want First07:07 Governance Helps You Move10:19 Shadow Agents and Security12:44 Who Owns the AI15:26 AI Hype and Economics19:32 Augmentation Not Replacement25:42 Outcomes Over Process28:58 Orchestration Over Copilots30:02 Building The AI Foundation31:05 Who Owns AI33:12 Adoption And Culture36:04 AI Needs Imagination38:01 AI As A Skill41:11 Guiding Teens For AI48:53 Human Communication Edge50:21 Five Year Agent Future52:52 Cycling And Ambitionshttps://waxell.ai/