If you left your business for two months and went unreachable, would it still run? Kevin Ziegler learned the cost of key person risk the hard way when his co-founder was diagnosed with bone cancer and he sold his share of a 13-year software firm faster and cheaper than he should have.
Kevin is a Milwaukee-based fractional CTO and four-time founder who co-founded Freight iQ, a logistics SaaS that reached $6 million in ARR, and now embeds with growing transportation and logistics companies on AI strategy, governance, and TMS selection.
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Kevin says key person risk is a technology problem too: the one person who knows how to write the code or run the software is a liability a buyer will price.
In this episode:
– Why Kevin sold too fast and what a finance advisor taught him about asking "what is important to me"
– The two-month vacation test and how to document your way out of being the bottleneck
– Kevin's three-stage fractional CTO process: assessment, roadmap, advisory
– How to pick a TMS with a requirements list and a one-to-five vendor scorecard instead of a referral and a sales call
– Why building your own AI tools is riskier than it looks if you are not a software shop
– AI governance first, then low-risk agents with a human in the loop, then cost controls before tokens get out of hand
– Why the real AI bottleneck is not enough planned work, and the opportunity that creates for analysts and product owners
Connect with Kevin: https://www.linkedin.com/in/kevinmziegler | https://kevinziegler.com
Chapters
0:00 Welcome and guest introduction
1:06 From orthodontist track to software founder
3:06 Building a logistics software agency from 1999
4:20 A co-founder's cancer diagnosis and a rushed exit
5:30 The two-month vacation test for key person risk
6:26 Documentation, SOPs, and hiring people better than you
8:20 Why you need a five-year exit horizon and an advisor on your side
10:03 What a fractional CTO fixes first: risk, security, documentation
10:50 Kevin's three-stage process: assessment, roadmap, advisory
13:10 How to pick a TMS with a mini RFP and scorecard
16:28 Build versus buy in the AI age
18:29 AI governance, agents, human in the loop, and runaway costs
22:48 How Kevin uses AI agents and structured vibe coding
25:41 Where AI disrupts and where it creates jobs
28:53 Kevin's practical takeaway
#ExitAlgorithms #KeyPersonRisk #LogisticsTech