Why this matters in practice
The difficult part of an enterprise agent is often access to data and unwritten operating knowledge, which is why engineering must stay close to the workflow.
Chapters
- 00:00Intro
- 01:11Meet Leo Maier
- 01:46Building Ramp FDE
- 02:43Why FDE Exists
- 04:23Early Mandate Fires
- 06:07FDE and Core Engineering
- 07:48Enterprise Bet Pays
- 11:10Ramp Monetization
- 16:05Services Are the New Software
- 18:11AI Agents and APIs
- 23:11Pricing for Outcomes
- 26:35Human Labor TAM
- 32:50VCs and Rollups
- 36:50Common AI Workflow Pain
- 38:04Agent Data Context
- 38:55Go-to-Market Motion
- 40:36Customer Engagement Lifecycle
- 43:51Finance Intelligence Layer
- 47:20Who You Compete Against
- 48:09The Future of Consulting
- 51:44Will Humans Still Code?
- 54:37How Engineering Teams Will Evolve
- 57:36Hiring Change
- 59:36Should You Study Computer Science?
- 01:06:10The Bull Case and the Risks
- 01:13:44Why Ramp
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