Summary
Clay Beauvoir argued AI is not simply killing SaaS; it is forcing a split between durable data-backed systems and software whose interface value agents can disaggregate. He framed customer-facing AI agents as outcome-priced software, requiring guardrails, supervisor agents, and simulation testing to work reliably in regulated front-office use cases.
Key Topics
5 key topics from Clay Bavor and Niall Firth at HumanX Amsterdam 2026. Thicker branches were mentioned more often in the talk.
Is AI Killing Software as a Service?
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Key Takeaways
- Evaluate where agents can replace interfaces, not authoritative data systems.
- Price AI workflows around completed outcomes when ROI is measurable.
- Use guardrails, supervisor agents, and simulations before customer-facing deployment.
- Focus agent products narrowly to achieve reliable execution quality.
- Redeploy support teams toward higher-value customer relationship work.
“agents are a new type of software, and it's software you hire to get a job done”
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