As Go-To-Market teams move past basic automation, building high-impact AI workflows requires designing dynamic agents capable of reasoning, executing complex tasks, and adapting to real-world operations. This session explores how to identify where AI workflows deliver the highest operational leverage, how to structure agent behavior, and how to successfully manage the transition to automated execution.

Key Discussion Areas:

• High-Impact Workflow Discovery: Frameworks for analyzing GTM processes to isolate the exact bottlenecks where AI agents create maximum business impact.
• Agent Workflow Architecture: Exploring how hybrid reasoning models combine structured business logic with language model capabilities to execute complex tasks.
• Operational Handoffs & Change Management: Strategies for embedding human-in-the-loop oversight, managing edge cases, and guiding revenue teams through agent adoption.

Session Resources: Attendees will gain access to a GitHub repository featuring high-impact workflow templates, a library of agent skills, and agent tools