Guest: KG Charles-Harris, Founder & CEO of Quarrio

The SaaS AI trap is believing fast answers are good enough when the real advantage comes from trustworthy, decision-grade intelligence.

In this episode of SaaS Backwards, Ken Lempit talks with KG Charles-Harris, founder and CEO of Quarrio, about why most AI tools fall short in enterprise environments where decisions need to be accurate, auditable, and actionable. KG explains the difference between probabilistic AI and deterministic AI, and why that distinction matters far more than most SaaS leaders realize.

They also explore why business users do not want more dashboards or more software to learn. They want answers to questions, delivered instantly, in a way they can trust. The conversation covers Quarrio’s long path to market, how enterprise trust is built through founder-led sales, and why compressing the cycle from data to decision to action may become one of the biggest competitive advantages in SaaS.

Key takeaways:

Most enterprise AI tools are fast, but not reliable enough for decision-making
Deterministic AI is better suited for auditable, enterprise-grade answers
SaaS users want answers, not more dashboards or reporting delays
Decision velocity may become a major competitive advantage
Founder-led sales and trust are critical in early enterprise go-to-market

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