Ramp’s Glass AI cuts spend management costs by 30% overnight
Ramp introduced Glass, an internal AI tool, after spending $1.5 million in AI tokens in a single week in May. The company compared this to giving employees expensive instruments without a conductor—expensive but uncoordinated. Glass now automates tasks like extracting feature requests from customer calls, reducing manual data entry from 300 monthly entries to capturing 20,000 monthly requests…
Key points
- Ramp spent **$1.5 million in AI tokens** in May, prompting the creation of Glass to streamline internal workflows
- Glass automates feature requests from customer calls, capturing **20,000 monthly entries** vs. prior manual **300/month**
- Ramp Router optimizes model use, cutting internal AI costs by **30% overnight** and valuing Ramp at **$60 billion**
The tool reflects broader enterprise AI challenges: 62% of companies spent over $10 million on new AI tools in the past year, according to a PYMNTS Intelligence report from September. However, deeper adoption faces hurdles like skill gaps and unclear ownership. Ramp’s $60 billion valuation (post-$1.85 billion funding round) underscores its focus on scaling AI tools internally before broader deployment.
Ramp’s $1.5 Million Week of Spending Leads to Glass AI Tool
pymnts.com · 14 October 2026
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