Mastering AI Agents for Customer Service with Fin
Build and optimize Fin-powered customer service agents with reliable knowledge, controlled escalation, performance metrics, and safe rollout practices.
- Beginner
- 8 lessons
- 1 hr 1 min
- Taught by Brian Byrne
What you'll learn
- Plan a Safe Rollout Choose focused use cases, success criteria, rollout scope, and ownership before turning on an AI agent.
- Train With Control Connect reliable knowledge sources and write clear guidance that controls tone, behavior, escalation, and edge cases.
- Design Support Workflows Build multi-step flows that troubleshoot issues, use customer context, collect details, and hand off with the right information.
- Test Before Launch Validate responses with targeted testing, scoped audiences, and channel-specific checks before customers rely on them.
- Measure Performance Track resolution, handoffs, abandonments, topic trends, and customer experience signals to find improvement opportunities.
- Optimize Continuously Prioritize updates to content, data access, integrations, and automation based on evidence from real support conversations.
Lessons 8 lessons · 1 hr 1 min
Every lesson comes with Pro, $29 a month.
- Lesson 1: Introductions and workshop overview 4 min
- Lesson 2: How AI agents are changing customer support 7 min
- Lesson 3: Live demo: troubleshooting and proactive support 10 min
- Lesson 4: Training, testing, and deploying Fin 11 min
- Lesson 5: Performance analysis and optimization 6 min
- Lesson 6: Common rollout pitfalls to avoid 15 min
- Lesson 7: Deployment framework and best practices 6 min
- Lesson 8: Q&A and closing remarks 2 min
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