AI Summary
5 min readGreg, the host, opens with a striking claim: forward-deployed engineers (FDEs) are earning million-dollar salaries because they can drive $5 million to $25 million of value for companies by deploying AI agents. He brings on Voss from Varick Agents to deliver what he promises is the first detailed, public breakdown of how this actually works—moving past the usual high-level talk into concrete client examples, process maps, and the psychology of selling AI transformation to skeptical executives.
Voss immediately reframes the core problem. His article, "Don't Apply AI," argues that AI is not a coat of paint you slap onto a business. Real transformation requires deep process re-engineering. The opportunity is already visible in the private equity playbook: firms like Thrive Holdings buy people-heavy companies (accounting firms, law practices, IT shops), embed FDEs, and rebuild workflows from the ground up. The results are measurable—tax returns processed 30% faster with 98% accuracy, gross margins at call centers hitting 60% and above. When a PE firm buys a company for $1 billion and doubles its margin through AI, the entire valuation scales.
The real work: process mapping before any code is written
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What you'll learn
- 1 (00:04) **Why $1M/yr FDEs Exist** - The episode frames the economic case: deploying agents that drive $5-25M in value justifies a six-figure salary.
- 2 (00:36) **Guest Introduction: Voss from Varick Agents** - Voss is brought on to share inside details from real client engagements that are not publicly available.
- 3 (01:37) **Sponsored Segment: Voice AI Toolkit** - A 60-second breakdown of Google's voice AI tools, including Gemini 3.8 Live, 3.5 Training, 3.8 Text-to-Speech, and Speech-to-Speech.
- 4 (03:55) **The Core Problem: AI Can't Be Applied Like Paint** - Voss introduces the central thesis: AI requires deep process re-engineering, not a simple application layer.
- 5 (05:33) **The AI Roll-Up Playbook** - Explains how private equity firms are buying people-heavy firms and deploying FDEs to transform them.
- 6 (09:57) **The FDE Methodology: Process Mapping** - The first critical step in the FDE playbook: understanding the current system before building anything.
- 7 (14:13) **Concrete Example: The 20-Step Sales Process** - A real engagement with a $5B public software company reveals the gap between perceived and actual workflow.
+ Full timestamped outline available in the app
Show Notes
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In this episode, I talk with Vas from Varick about what it takes to put AI to work inside a real company. Vas makes the case that AI pays off through process reengineering, and he walks me through the exact method his forward deployed engineers (FDEs) use: interviews, process mining, step sorting, and agents built inside existing systems of record. We go through real engagements, including a $5B public software company and an accounts payable overhaul that cut the cost per invoice from $31 to $6. By the end, you get a clear picture of the FDE role, the business opportunity behind AI roll-ups, and a five-day plan to start on your own.
Links Mentioned:
FDE Presentation: https://startup-ideas-pod.link/FDE-slides
Vas’s Article: https://startup-ideas-pod.link/vas-fde
Timestamps
00:00 – Intro
01:31 – Sponsor: Google
03:58 – FDE Overview
05:02 – AI Roll-Ups and Process Reengineering
08:04 – The Personal Systems Analogy
09:55 – Understanding a company’s process (step-by-step)
14:11 – Case Study: $5B Software Company
18:11 – 4 Buckets for Every Step
19:04 – Build Inside Systems of Record
21:36 – Case Study: PE Portfolio
23:43 – Selling to C-Suite Executives
27:07 – Process of Mapping Five NetSuite Companies
28:39 – Example: Accounts Payable Process Map
32:54 – Case Study: 60-Person Accounting Firm
34:51 – When to Use Code, Agents, or Humans
36:00 – Choosing AI Models
38:16 – Sidekick vs Background Agents
40:29 – The 3 Skills of a Top FDE