A LinkedIn post from Lorikeet highlights a recent episode of its CX-focused podcast, The Squawk, featuring Stream’s CPO and CTO Nick Rogers. The post describes how Stream, formerly Wagestream, reportedly built an in-house AI support agent that now resolves around 80% of customer tickets, allegedly with one part-time engineer leading development.
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According to the post, the discussion covers why most firms may struggle to self-build similar agents, how Stream sequenced model selection to reach production readiness, and what a model “bake-off” revealed about performance trade-offs. The content also suggests that customer experience roles may increasingly resemble knowledge engineering in the AI era, a theme that could signal shifting talent and tooling requirements across CX-intensive businesses.
For investors following Lorikeet, the emphasis on advanced AI support workflows and practical deployment challenges may underscore the company’s focus on AI-driven CX innovation. While the podcast itself does not imply direct revenue metrics, it may help position Lorikeet as a thought leader in applied AI for support operations, potentially enhancing brand visibility and its appeal to enterprise customers seeking efficiency gains.