In this conversation, I speak with Marcus, the Vice President of Delivery at Junction, about the evolving landscape of AI agents and automation. They discuss the importance of transparency and control in AI implementations, the challenges of scaling these systems, and the need to identify and overcome bottlenecks in automation processes. Marcus shares insights on building flexible automation systems that adapt to client needs and the considerations involved in selecting AI models, including cost and micro tuning. The conversation concludes with a focus on mapping AI agents to existing business processes to enhance efficiency.
Chapters
00:00 Introduction to Junction and Client Success
02:30 AI Agents and Their Purpose
04:51 Understanding Client Needs and Automation
07:36 Scaling Automation Systems
10:01 Identifying Bottlenecks in Processes
12:46 Data Integration and Workflow Automation
14:50 Long-term Growth and Platform Agnosticism
17:15 Cost Considerations in AI Implementation
19:40 Micro Tuning vs. Fine Tuning
22:01 Mapping Automation to Business Processes