AI adoption in SaaS companies is hindered by customer anxiety over unpredictable pricing, as highlighted by the field report "AI Pricing in Practice: 2025 Field Report from Leading SaaS Teams." This anxiety stems from buyers' reluctance to adopt AI tools due to fears of budget overruns and lack of trust in managing expenses. Companies like Writer, Intercom, OpenAI, and Hugging Face are addressing this issue by implementing pricing models that prioritize predictability and customer control. These models include fixed fees with token allowances, annual credit buckets, outcome-based pricing, and usage caps, all designed to reassure buyers and encourage experimentation. Metronome enhances this approach by offering a platform that provides real-time cost previews, granular breakdowns, and spend controls, aligning pricing innovation with customer confidence. The overarching insight is that predictability in pricing can significantly enhance customer experience, reduce adoption barriers, and facilitate growth in the SaaS and AI sectors.