
#141 AI Pat Works Here Now: Why Agents Must Follow Human Rules with Pat Casey // CTO @ ServiceNow
alphalist.CTO Podcast - For CTOs and Technical LeadersShow Notes
Pat Casey was the first person besides founder Fred Luddy to write code at ServiceNow back in 2005, when it was called Glide and lived above a friend's restaurant. Twenty years later, he's CTO of a company where 85% of the Fortune 500 are customers, and until recently ran all of engineering: 10,000 people, 7,000 of them writing code. Almost nobody survives the journey from first engineer to public-company CTO. Pat did.
Tobi and Pat dig into how ServiceNow actually works under the hood: a metadata processing engine running 90,000 single-tenant databases and over 25 billion queries an hour, why they bought a 15-person German database company and turned it into RaptorDB, and why tearing apart a 20-year-old monolith is harder than every senior engineer thinks.
Then the conversation turns to AI. Pat bought 7,000 Windsurf licenses and measured a real, but unglamorous, 15% productivity bump, with a small subset of engineers going 5–6x while most barely changed. His thesis: AI coding is like playing five chessboards at once, and it's reshuffling the deck on who the top engineers will be. On agents, ServiceNow's answer is disarmingly simple: create a user called "AI Pat," assign it cases, and make it follow the exact same rules as humans because you should not trust an LLM more than you trust a human being.
Topics covered:
- From Atari 400 and floppy-disk jockey at Aldus to first engineer at ServiceNow - Scaling engineering from a stuffed fish on a monitor to 10,000 people — and the productivity trough at ~100 engineers - Single-tenant architecture: 90,000 databases, 25B+ queries/hour, and the monolith-to-Kubernetes migration - Why ServiceNow bought Swarm64 and built RaptorDB on a Postgres fork - 7,000 Windsurf licenses, Claude Code, and the real numbers on AI coding productivity - "AI Pat": the anthropomorphic model for enterprise agents outcomes, not toolkits - Whether AI kills seat-based SaaS, and why incumbents may have the inside track - Pat's advice to CTOs: this is not a time for excessive caution
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Sponsored by Blocks: Save at least 20% on your AWS costs with AI-powered optimization and enterprise discounts. Get your free Cloud Check at https://blocks.cloud/alphalist?utm_source=alphalist&utm_medium=podcast&utm_campaign=blocks-podcast-2026