Two Google alumni raise $11.3M to back AI startups that enterprises will actually pay for

Two former Google leaders have raised an $11.3 million fund around a clear enterprise AI thesis: the market is moving from experimentation to buying deterministic, workflow-embedded solutions with measurable ROI. For CIOs, this signals that AI vendors will increasingly be judged on unit economics, integration depth, proprietary data advantage, and governance capabilities—especially as frontier model providers bundle more features directly into their platforms. IT organizations should expect more pressure to support agentic workflows, non-human identity and access management, and outcome-based buying models rather than simple per-seat SaaS deployments.